Yi Chang
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Advanced Graph Neural Networks
- Hate Speech and Cyberbullying Detection
- Natural Language Processing Techniques
- Information Systems top 0.2%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
Papers in
-
- Topic Modeling 42
- Advanced Graph Neural Networks 27
- Text and Document Classification Technologies 26
- Natural Language Processing Techniques 20
-
- Information Retrieval and Search Behavior 47
- Web Data Mining and Analysis 39
- Recommender Systems and Techniques 24
- Co-authors
- Chikashi Nobata (3 shared papers)Achint Thomas (2 shared papers)Yashar Mehdad (1 shared paper)Joel Tetreault (1 shared paper)Jiliang Tang (13 shared papers)Anlei Dong (24 shared papers)Philip S. Yu (10 shared papers)Zhaohui Zheng (19 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (13 papers)IEEE Transactions on Neural Networks and Learning Systems (8 papers)Pattern Recognition (5 papers)ACM Transactions on Intelligent Systems and Technology (4 papers)Neurocomputing (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yi Chang
203 papers receiving 6.6k citations
Yi Chang's Hit Papers
Peers
Comparison fields: 5 of 169
- Artificial Intelligence 4.5k
- Information Systems 2.1k
- Health Informatics 103
- Statistical and Nonlinear Physics 777
- Signal Processing 559
Countries citing papers authored by Yi Chang
This map shows the geographic impact of Yi Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yi Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Chang more than expected).
Fields of papers citing papers by Yi Chang
This network shows the impact of papers produced by Yi Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yi Chang. The network helps show where Yi Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on Evaluation of Large Language Models Hit paper breakdown → | 2024 | 1322 |
| 2 | Abusive Language Detection in Online User Content Hit paper breakdown → | 2016 | 791 |
| 3 | A Novel Cascade Binary Tagging Framework for Relational Triple Extraction Hit paper breakdown → | 2020 | 384 |
| 4 | 2016 | 227 | |
| 5 | GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Hit paper breakdown → | 2022 | 212 |
| 6 | 2017 | 165 | |
| 7 | 2010 | 157 | |
| 8 | 2018 | 137 | |
| 9 | 2018 | 132 | |
| 10 | 2010 | 117 | |
| 11 | Yahoo! Learning to Rank Challenge Overview | 2010 | 101 |
| 12 | 2014 | 97 | |
| 13 | 2016 | 87 | |
| 14 | 2016 | 87 | |
| 15 | 2012 | 87 | |
| 16 | 2021 | 80 | |
| 17 | Robust early-learning: Hindering the memorization of noisy labels | 2021 | 78 |
| 18 | 2020 | 75 | |
| 19 | 2011 | 72 | |
| 20 | 2007 | 67 |
About Yi Chang
Yi Chang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Management Science and Operations Research, having authored 222 papers that have together received 7.0k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (47 papers), Topic Modeling (42 papers), Web Data Mining and Analysis (39 papers), Advanced Graph Neural Networks (27 papers), Text and Document Classification Technologies (26 papers), Advanced Image and Video Retrieval Techniques (24 papers), Recommender Systems and Techniques (24 papers) and Natural Language Processing Techniques (20 papers). The work is most often cited by research in Artificial Intelligence (4.5k citations), Information Systems (2.1k citations), Health Informatics (103 citations), Statistical and Nonlinear Physics (777 citations) and Signal Processing (559 citations). Yi Chang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Chikashi Nobata, Achint Thomas, Yashar Mehdad, Joel Tetreault, Jiliang Tang, Anlei Dong, Philip S. Yu, Zhaohui Zheng, Charų C. Aggarwal and Huan Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, ACM Transactions on Intelligent Systems and Technology and Neurocomputing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.