default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJunhua Ding 0001
Jun-Hua Ding 0001
Person information
- affiliation: University of North Texas, Department of Information Science, Denton, TX, USA
- affiliation (former): East Carolina University, Department of Computer Science, Greenville, NC, USA
- affiliation (former, PhD 2004): Florida International University, School of Computer Science, University Park, FL, USA
Other persons with the same name
- Junhua Ding (aka: Jun-Hua Ding) — disambiguation page
- Junhua Ding 0002
![[0000-0001-9910-8940]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9910-8940")
— Chinese Academy of Sciences, Institute of Psychology, Beijing, China (and 1 more)
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2026
[j25]Haihua Chen, Yuhan Zhou, Ruochi Li, Aryan Murthy Illa, Ana D. Cleveland, Junhua Ding:
A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions. J. Biomed. Informatics 178: 105005 (2026)- [c65]Mingchen Li, Hanzhi Zhang, Heng Fan, Junhua Ding, Yunhe Feng:
Harmful Factuality: LLMs Correcting What They Shouldn't. EACL (Findings) 2026: 896-912 - [c64]Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng:
Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings. WWW 2026: 1662-1671 - [c63]Haoxuan Zhang, Ruochi Li, Zhenni Liang, Mehri Sattari, Phat Vo, Collin Qu, Ting Xiao, Junhua Ding, Yang Zhang, Haihua Chen:
AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation. WWW 2026: 4360-4371 - [i11]Mingchen Li, Wajdi Aljedaani, Yingjie Liu, Navyasri Meka, Xuan Lu, Xinyue Ye, Junhua Ding, Yunhe Feng:
Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings. CoRR abs/2604.06863 (2026) - [i10]Haoxuan Zhang, Ruochi Li, Zhenni Liang, Mehri Sattari, Phat Vo, Collin Qu, Ting Xiao, Junhua Ding, Yang Zhang, Haihua Chen:
AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation. CoRR abs/2604.09617 (2026) - 2025
- [j24]Fengjiao Tu, Linjing Wu, Kinshuk, Junhua Ding, Haihua Chen:
Exploring the influence of regulated learning processes on learners' prestige in project-based learning. Educ. Inf. Technol. 30(2): 2299-2329 (2025) - [j23]Zhongyi Wang, Na Wang, Haoxuan Zhang, Zeren Wang, Zhou Wang, Junhua Ding, Haihua Chen:
IBID-CCT: A novel model for interdisciplinary breakthrough innovation detection based on the cusp catastrophe theory. Inf. Process. Manag. 62(4): 104121 (2025) - [j22]Haihua Chen, Ruochi Li, Ana D. Cleveland, Junhua Ding:
Enhancing data quality in medical concept normalization through large language models. J. Biomed. Informatics 165: 104812 (2025) - [c62]Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng:
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. EMNLP (Findings) 2025: 1573-1585 - [c61]Xiaoying Song, Anirban Saha Anik, Dibakar Barua, Pengcheng Luo, Junhua Ding, Lingzi Hong:
Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL. EMNLP (Findings) 2025: 2812-2830 - [c60]Komala Subramanyam Cherukuri, Kewei Sha, Junhua Ding:
Enabling Federated Learning for Object Detection in Connected Autonomous Driving Using YOLO with the Flower Framework. ICCCN 2025: 1-6 - [c59]Yifan Jiao, Yunhao Li, Junhua Ding, Qing Yang, Song Fu, Heng Fan, Libo Zhang:
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. ICCV 2025: 5469-5478 - [c58]Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen:
Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers. ICDM 2025: 1370-1379 - [c57]Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen:
ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation. JCDL 2025: 207-216 - [c56]Miyoung Chong, Junhua Ding, Chirag Shah, Haihua Chen:
Application of GAI to Empirical Studies: It's High Time to Discuss Challenges and Pitfalls. JCDL 2025: 364-366 - [i9]Mingchen Li, Heng Fan, Song Fu, Junhua Ding, Yunhe Feng:
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting. CoRR abs/2503.04990 (2025) - [i8]Haoxuan Zhang, Ruochi Li, Yang Zhang, Ting Xiao, Jiangping Chen, Junhua Ding, Haihua Chen:
The Evolving Role of Large Language Models in Scientific Innovation: Evaluator, Collaborator, and Scientist. CoRR abs/2507.11810 (2025) - [i7]Xiaoying Song, Anirban Saha Anik, Dibakar Barua, Pengcheng Luo, Junhua Ding, Lingzi Hong:
Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL. CoRR abs/2509.01058 (2025) - [i6]Ruochi Li, Haoxuan Zhang, Edward F. Gehringer, Ting Xiao, Junhua Ding, Haihua Chen:
Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers. CoRR abs/2509.19326 (2025) - [i5]Haoxuan Zhang, Ruochi Li, Sarthak Shrestha, Shree Harshini Mamidala, Revanth Putta, Arka Krishan Aggarwal, Ting Xiao, Junhua Ding, Haihua Chen:
ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation. CoRR abs/2510.16549 (2025) - 2024
- [j21]Zhongyi Wang, Xueyao Qiao, Jing Chen, Lina Li, Haoxuan Zhang, Junhua Ding, Haihua Chen:
Exploring and evaluating the index for interdisciplinary breakthrough innovation detection. Electron. Libr. 42(4): 536-552 (2024) - [j20]Zhongyi Wang, Haoxuan Zhang, Haihua Chen, Yunhe Feng, Junhua Ding:
Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network. J. King Saud Univ. Comput. Inf. Sci. 36(6): 102119 (2024) - [c55]Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen:
A Survey on Data Quality Dimensions and Tools for Machine Learning Invited Paper. AITest 2024: 120-131 - [c54]Junhua Ding, Huyen Nguyen, Haihua Chen:
Evaluation of Question-Answering Based Text Summarization using LLM Invited Paper. AITest 2024: 142-149 - [c53]Hong Zhu, Junhua Ding:
Message From the General Chairs; IEEE AITest 2024. AITest 2024: x - [c52]Hong Zhu, Xiaoli Li, Junhua Ding, Emese Bari, Yang Liu:
Plenary Panel at IEEE CISOSE 2024; GenAI, Where are You Going? AITest 2024: xxvi-xxvii - [c51]Monowar Bhuyan, Lingzi Hong, Fanjing Meng, Junhua Ding:
Plenary Panel at IEEE CISOSE 2024; Ethical, Societal, and Policy Implications of AI. AITest 2024: xxx - [c50]Ana Roeschley, Junhua Ding, Huan Xie, Yunfei Du:
Digital Libraries for Cultural Heritage Data Curation and Stewardship. JCDL 2024: 110:1-110:2 - [c49]Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng:
GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. KSEM (1) 2024: 99-111 - [c48]Colton Clemmer, Junhua Ding, Yunhe Feng:
PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases. WACV 2024: 8581-8590 - [i4]Yuhan Zhou, Fengjiao Tu, Kewei Sha, Junhua Ding, Haihua Chen:
A Survey on Data Quality Dimensions and Tools for Machine Learning. CoRR abs/2406.19614 (2024) - [i3]Huyen Nguyen, Haihua Chen, Lavanya Pobbathi, Junhua Ding:
A Comparative Study of Quality Evaluation Methods for Text Summarization. CoRR abs/2407.00747 (2024) - [i2]Yifan Jiao, Yunhao Li, Junhua Ding, Qing Yang, Song Fu, Heng Fan, Libo Zhang:
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild. CoRR abs/2412.02129 (2024) - 2023
- [c47]Huyen Nguyen, Haihua Chen, Roopesh Maganti, K. S. M. Tozammel Hossain, Junhua Ding:
Measurement and Identification of Informative Reviews for Automated Summarization. AITest 2023: 146-151 - [c46]Kate Kargozari, Junhua Ding, Haihua Chen:
Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. AITest 2023: 160-168 - [c45]Huyen Nguyen, Junhua Ding:
Keyword-based Augmentation Method to Enhance Abstractive Summarization for Legal Documents. ICAIL 2023: 437-441 - [c44]Junhua Ding, Haihua Chen, Sai Kolapudi, Lavanya Pobbathi, Huyen Nguyen:
Quality Evaluation of Summarization Models for Patent Documents. QRS 2023: 250-259 - [c43]Wenqian Zhao, Meghana Patibandla, Junhua Ding:
An Approach for Ensuring the Privacy in Smart Contracts. QRS Companion 2023: 320-329 - [c42]Ravi Varma Kumar Bevara, Ting Xiao, Farahnaz Hosseini, Junhua Ding:
Bias Analysis in Language Models using An Association Test and Prompt Engineering. QRS Companion 2023: 356-363 - [e1]B. Vinoth Kumar, P. Sivakumar, B. Surendiran, Junhua Ding:
Smart Computer Vision. EAI/Springer Innovations in Communication and Computing (EAISICC), Springer 2023, ISBN 978-3-031-20540-8 [contents] - 2022
- [j19]Ngan Tran, Haihua Chen, Jay Bhuyan, Junhua Ding:
Data Curation and Quality Evaluation for Machine Learning-Based Cyber Intrusion Detection. IEEE Access 10: 121900-121923 (2022) - [j18]Hongyu Zhang, Andrew Yang, Allen Peng, Lavinia Florentina Pieptea, Jian Yang, Junhua Ding:
A Quantitative Study of Software Reviews Using Content Analysis Methods. IEEE Access 10: 124663-124672 (2022) - [j17]Ratnam Cheran, Junhua Ding:
Big Four Bank Performance on Facebook and Instagram: An Analysis of Post Engagement. Int. J. Perform. Eng. 18(7): 475 (2022) - [j16]Haihua Chen, Lei Wu, Jiangping Chen, Wei Lu, Junhua Ding:
A comparative study of automated legal text classification using random forests and deep learning. Inf. Process. Manag. 59(2): 102798 (2022) - [j15]Haihua Chen, Lavinia Florentina Pieptea, Junhua Ding:
Construction and Evaluation of a High-Quality Corpus for Legal Intelligence Using Semiautomated Approaches. IEEE Trans. Reliab. 71(2): 657-673 (2022) - [c41]Mingwei Tang, Zhiwei Xu, Yuhao Qin, Cui Su, Yi Zhu, Feifei Tao, Junhua Ding:
A Quantitative Study of Impact of Incentive to Quality of Software Reviews. DSA 2022: 54-63 - 2021
- [j14]Ziming Zeng, Yu Shi, Lavinia Florentina Pieptea, Junhua Ding:
Using latent features for building an interpretable recommendation system. Electron. Libr. 39(2): 281-295 (2021) - [j13]Ngan Tran, Haihua Chen, Jiang Janet, Jay Bhuyan, Junhua Ding:
Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. Int. J. Perform. Eng. 17(9): 741 (2021) - [j12]Junhua Ding, Xin-Hua Hu, Venkat N. Gudivada:
A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data. IEEE Trans. Big Data 7(2): 451-467 (2021) - [j11]Haihua Chen, Jiangping Chen, Junhua Ding:
Data Evaluation and Enhancement for Quality Improvement of Machine Learning. IEEE Trans. Reliab. 70(2): 831-847 (2021) - [c40]Huyen Nguyen, Haihua Chen, Bhanu Prasad, Huanhuan Zhao, Junhua Ding, Jiangping Chen, Ana D. Cleveland:
UNTIIA Lab at TREC 2021 - Clinical Trial. TREC 2021 - [i1]Haihua Chen, Ngan Tran, Anand Sagar Thumati, Jay Bhuyan, Junhua Ding:
Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion Detection. CoRR abs/2105.10041 (2021) - 2020
- [c39]Mingwei Tang, Cui Su, Haihua Chen, Jingye Qu, Junhua Ding:
SALKG: A Semantic Annotation System for Building a High-quality Legal Knowledge Graph. IEEE BigData 2020: 2153-2159 - [c38]Junhua Ding, Jiangping Chen, Alexis Palmer, Daniella LaShaun Smith:
An Experience Report for Running an REU Program in an iSchool. iConference 2020: 511-524 - [c37]Haihua Chen, Jiangping Chen, Junhua Ding:
Data Evaluation and Enhancement for Quality Improvement of Machine Learning. QRS 2020: 13
2010 – 2019
- 2019
- [j10]Sha Zhou, Run Wang, Junhua Ding, Xiaofang Pan, Shunping Zhou, Fang Fang, Wenjie Zhen:
An approach for computing routes without complicated decision points in landmark-based pedestrian navigation. Int. J. Geogr. Inf. Sci. 33(9): 1829-1846 (2019) - [j9]Junhua Ding, XinChuan Li, Xiaojun Kang, Venkat N. Gudivada:
A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. ACM J. Data Inf. Qual. 11(4): 20:1-20:22 (2019) - [c36]Haihua Chen, Gaohui Cao, Jiangping Chen, Junhua Ding:
A Practical Framework for Evaluating the Quality of Knowledge Graph. CCKS 2019: 111-122 - [c35]Junhua Ding, XinChuan Li, Xin-Hua Hu:
Testing Scientific Software with Invariant Relations: A Case Study. QRS 2019: 406-417 - 2018
- [c34]Junhua Ding, XinChuan Li:
An Approach for Validating Quality of Datasets for Machine Learning. IEEE BigData 2018: 2795-2803 - 2017
- [j8]He Wang, Yuanming Feng, Yu Sa, Jun Q. Lu, Junhua Ding, Jun Zhang, Xin-Hua Hu:
Pattern recognition and classification of two cancer cell lines by diffraction imaging at multiple pixel distances. Pattern Recognit. 61: 234-244 (2017) - [j7]Junhua Ding, Xin-Hua Hu:
Application of metamorphic testing monitored by test adequacy in a Monte Carlo simulation program. Softw. Qual. J. 25(3): 841-869 (2017) - [c33]Junhua Ding, Xiaojun Kang, Xin-Hua Hu, Venkat N. Gudivada:
Building a Deep Learning Classifier for Enhancing a Biomedical Big Data Service. SCC 2017: 140-147 - [c32]Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu:
Building an SVM Classifier for Automated Selection of Big Data. BigData Congress 2017: 15-22 - [c31]Junhua Ding, XinChuan Li, Venkat N. Gudivada:
Augmentation and evaluation of training data for deep learning. IEEE BigData 2017: 2603-2611 - [c30]Junhua Ding, Xiaojun Kang, Xin-Hua Hu:
Validating a Deep Learning Framework by Metamorphic Testing. MET@ICSE 2017: 28-34 - [c29]Sergiy Vilkomir, Jiabin Wang, Nam Le Thai, Junhua Ding:
Combinatorial Methods of Feature Selection for Cell Image Classification. QRS Companion 2017: 55-60 - [c28]Xiaojun Kang, Xuguang Zhao, Caixia Guo, Junhua Ding:
An approach for detecting groundwater runoff connectivity using cluster analysis. SMC 2017: 2402-2407 - 2016
- [c27]Junhua Ding, Dongmei Zhang, Xin-Hua Hu:
A Framework for Ensuring the Quality of a Big Data Service. SCC 2016: 82-89 - [c26]Junhua Ding, Dongmei Zhang:
An Approach for Iteratively Generating Adequate Tests in Metamorphic Testing: A Case Study. COMPSAC 2016: 263-268 - [c25]John Dixon, Junhua Ding:
An empirical study of parallel solutions for GLCM calculation of diffraction images. EMBC 2016: 3969-3972 - [c24]Junhua Ding:
An approach for modeling and analyzing dynamic software architectures. ICNC-FSKD 2016: 2086-2092 - [c23]Junhua Ding, Dongmei Zhang, Xin-Hua Hu:
An application of metamorphic testing for testing scientific software. MET@ICSE 2016: 37-43 - [c22]Junhua Ding, Dongmei Zhang:
A Machine Learning Approach for Developing Test Oracles for Testing Scientific Software. SEKE 2016: 390-395 - 2015
- [c21]Sai Kiran Thati, Junhua Ding, Dongmei Zhang, Xin-Hua Hu:
Feature Selection and Analysis of Diffraction Images. QRS Companion 2015: 80-88 - [c20]Junhua Ding, Dongmei Zhang:
Modeling and Analyzing Publish Subscribe Architcture using Petri Nets. SEKE 2015: 589-594 - 2014
- [c19]Junhua Ding:
Self-guided learning environment for undergraduate software engineering. CSEE&T 2014: 188-189 - [c18]Rober Grimes, Junhua Ding:
Development of a novel cryptography tool for personal communication. ICNSC 2014: 411-416 - 2013
- [c17]Junhua Ding, Dongmei Zhang:
An approach for modeling and analyzing the communication protocols in a telemedicine system. BMEI 2013: 699-704 - [c16]W. Eric Wong, Junhua Ding, Gene Fiorini, Christian K. Hansen:
Undergraduates and research: Motivations, challenges, and the path forward. CSEE&T 2013: 341-345 - [c15]Junhua Ding:
A framework for global collaboration in teaching software engineering. CTGDSD@ICSE 2013: 30-34 - 2012
- [c14]Junhua Ding, Biwu Yang:
Teaching software engineering with global understanding. CTGDSD@ICSE 2012: 11-15 - [c13]Junhua Ding, Lian Mo:
Enforcement of Role Based Access Control in Social Network Environments. SERE (Companion) 2012: 92-101 - 2011
- [c12]Mohammad H. N. Tabrizi, Sergiy Vilkomir, Junhua Ding:
Development of North Carolina's first Software Engineering program: An experience report. CSEE&T 2011: 266-273 - [c11]Junhua Ding, Tong Wu, Dianxiang Xu, Jun Q. Lu, Xin-Hua Hu:
Metamorphic testing of a Monte Carlo modeling program. AST@ICSE 2011: 1-7 - 2010
- [j6]Junhua Ding, Xudong He:
Formal Specification and Analysis of an Agent-Based Medical Image Processing System. Int. J. Softw. Eng. Knowl. Eng. 20(3): 311-345 (2010) - [c10]Junhua Ding, Christopher R. Westbrook, Mohammad H. N. Tabrizi:
Designing Aspects with Use Cases: A Case Study. SEKE 2010: 797-803
2000 – 2009
- 2009
- [j5]Junhua Ding, Peter J. Clarke, Gonzalo Argote-Garcia, Xudong He:
A methodology for evaluating test coverage criteria of high levelPetri nets. Inf. Softw. Technol. 51(11): 1520-1533 (2009) - [c9]Yujian Fu, Junhua Ding, Phil Bording:
An Approach for Modeling and Analyzing Crosscutting Concerns. SOLI 2009: 91-97 - 2008
- [c8]M. L. D. Ponce, Junhua Ding, Mohammad H. N. Tabrizi:
Identifying Factors that Improve the Predictive Quality of BMI for Health Status. BIOCOMP 2008: 374-378 - [c7]Junhua Ding, Mohammad H. N. Tabrizi:
Modeling and Model Checking of a Clinical Diagnostic Algorithm. ICNSC 2008: 78-83 - [c6]Junhua Ding, Gonzalo Argote-Garcia, Peter J. Clarke, Xudong He:
Evaluating Test Adequacy Coverage of High Level Petri Nets Using Spin. AST@ICSE 2008: 71-78 - [c5]Junhua Ding, Lian Mo, Xudong He:
An approach for specification construction using property-preserving refinement patterns. SAC 2008: 797-803 - 2006
- [j4]Peter J. Clarke, Junhua Ding, Djuradj Babich, Brian A. Malloy:
A Tool to Automatically Map Implementation-based Testing Techniques to Classes. Int. J. Softw. Eng. Knowl. Eng. 16(4): 585-614 (2006) - [j3]Junhua Ding, Peter J. Clarke, Dianxiang Xu, Xudong He, Yi Deng:
A formal model-based approach for developing an interoperable mobile agent system. Multiagent Grid Syst. 2(4): 401-412 (2006) - 2005
- [c4]Junhua Ding, Dianxiang Xu, Yi Deng, Peter J. Clarke, Xudong He:
Design an Interoperable Mobile Agent System Based on Predicate Transition Net Models. SEKE 2005: 560-565 - [c3]Junhua Ding, Zhengfan Dai, Jiacun Wang, Xudong He:
Formally modeling and analyzing a secure mobile agent finder. SMC 2005: 47-52 - 2004
- [j2]Xudong He, Huiqun Yu, Tianjun Shi, Junhua Ding, Yi Deng:
Formally analyzing software architectural specifications using SAM . J. Syst. Softw. 71(1-2): 11-29 (2004) - 2003
- [j1]Dianxiang Xu, Jianwen Yin, Yi Deng, Junhua Ding:
A Formal Architectural Model for Logical Agent Mobility. IEEE Trans. Software Eng. 29(1): 31-45 (2003) - 2002
- [c2]Xudong He, Junhua Ding, Yi Deng:
Model checking software architecture specifications in SAM. SEKE 2002: 271-278
1990 – 1999
- 1998
- [c1]Hwan Dong, Jun-Hua Ding, Xin Li, Jian Lu:
On Open Communication Frameworks for Software Agents. TOOLS (27) 1998: 188-195
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-05-14 01:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
