Yi Chang
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Hate Speech and Cyberbullying Detection
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
- Explainable Artificial Intelligence (XAI)
- Information Systems top 0.2%
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
Papers in
-
- Information Retrieval and Search Behavior 80
- Recommender Systems and Techniques 20
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- Topic Modeling 31
- Advanced Graph Neural Networks 21
- Reinforcement Learning in Robotics 16
- Domain Adaptation and Few-Shot Learning 12
- Privacy-Preserving Technologies in Data 6
- Co-authors
- Jiliang Tang (17 shared papers)Huan Liu (8 shared papers)Chikashi Nobata (3 shared papers)Joel Tetreault (1 shared paper)Achint Oommen Thomas (2 shared papers)Yashar Mehdad (1 shared paper)Philip S. Yu (10 shared papers)Anlei Dong (24 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (13 papers)IEEE Transactions on Neural Networks and Learning Systems (9 papers)Pattern Recognition (7 papers)ACM Transactions on Intelligent Systems and Technology (4 papers)ACM Transactions on Information Systems (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Chang
224 papers receiving 7.9k citations
Yi Chang's Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 4.2k
- Information Systems 2.3k
- Health Informatics 153
- Statistical and Nonlinear Physics 393
- Computer Vision and Pattern Recognition 507
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 239 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 | 1734 |
| 2 | Abusive Language Detection in Online User Content Hit paper breakdown → | 2016 | 843 |
| 3 | A Novel Cascade Binary Tagging Framework for Relational Triple Extraction Hit paper breakdown → | 2020 | 416 |
| 4 | GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks Hit paper breakdown → | 2022 | 277 |
| 5 | 2017 | 271 | |
| 6 | 2016 | 247 | |
| 7 | 2017 | 178 | |
| 8 | 2010 | 158 | |
| 9 | 2018 | 148 | |
| 10 | 2018 | 142 | |
| 11 | 2010 | 121 | |
| 12 | Yahoo! Learning to Rank Challenge Overview | 2010 | 112 |
| 13 | 2014 | 100 | |
| 14 | 2016 | 93 | |
| 15 | 2016 | 90 | |
| 16 | 2012 | 87 | |
| 17 | 2020 | 86 | |
| 18 | 2021 | 83 | |
| 19 | Robust early-learning: Hindering the memorization of noisy labels | 2021 | 82 |
| 20 | 2017 | 76 |
About Yi Chang
Yi Chang is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Statistics and Probability, having authored 239 papers that have together received 8.3k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (80 papers), Topic Modeling (31 papers), Advanced Graph Neural Networks (21 papers), Recommender Systems and Techniques (20 papers), Reinforcement Learning in Robotics (16 papers), Domain Adaptation and Few-Shot Learning (12 papers), Complex Network Analysis Techniques (9 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Information Systems (2.3k citations), Health Informatics (153 citations), Statistical and Nonlinear Physics (393 citations) and Computer Vision and Pattern Recognition (507 citations). Yi Chang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiliang Tang, Huan Liu, Chikashi Nobata, Joel Tetreault, Achint Oommen Thomas, Yashar Mehdad, Philip S. Yu, Anlei Dong, Yuan Wu and Yue Zhang. 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 ACM Transactions on Information Systems.
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.