Kai-Wei Chang
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Hate Speech and Cyberbullying Detection
- Advanced Graph Neural Networks
- Health Informatics top 0.5%
Papers in
-
- Topic Modeling 108
- Natural Language Processing Techniques 77
- Domain Adaptation and Few-Shot Learning 20
- Adversarial Robustness in Machine Learning 20
- Machine Learning and Data Classification 11
- Advanced Text Analysis Techniques 9
- Text Readability and Simplification 8
-
- Multimodal Machine Learning Applications 34
- Co-authors
- Wasi Uddin Ahmad (18 shared papers)Jieyu Zhao (11 shared papers)Nanyun Peng (35 shared papers)Mark Yatskar (4 shared papers)Adam Tauman Kalai (3 shared papers)James Zou (2 shared papers)Tolga Bolukbasi (5 shared papers)Venkatesh Saligrama (4 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)American Journal of Public Health (2 papers)Journal of Computational Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kai-Wei Chang
167 papers receiving 6.1k citations
Kai-Wei Chang's Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 4.3k
- Health Informatics 153
- Software 206
- Safety Research 420
- General Social Sciences 164
Countries citing papers authored by Kai-Wei Chang
This map shows the geographic impact of Kai-Wei 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 Kai-Wei Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Wei Chang more than expected).
Fields of papers citing papers by Kai-Wei Chang
This network shows the impact of papers produced by Kai-Wei 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 Kai-Wei Chang. The network helps show where Kai-Wei Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai-Wei 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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Hit paper breakdown → | 2016 | 634 |
| 2 | RNA-binding proteins in human genetic disease Hit paper breakdown → | 2008 | 504 |
| 3 | Generating Natural Language Adversarial Examples Hit paper breakdown → | 2018 | 452 |
| 4 | Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints Hit paper breakdown → | 2017 | 412 |
| 5 | Unified Pre-training for Program Understanding and Generation Hit paper breakdown → | 2021 | 402 |
| 6 | GPT-GNN Hit paper breakdown → | 2020 | 264 |
| 7 | 2019 | 231 | |
| 8 | 2019 | 230 | |
| 9 | 2018 | 184 | |
| 10 | 2019 | 182 | |
| 11 | 2004 | 181 | |
| 12 | 2018 | 137 | |
| 13 | A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification | 2010 | 128 |
| 14 | 2014 | 119 | |
| 15 | 2021 | 83 | |
| 16 | 2021 | 81 | |
| 17 | 2022 | 80 | |
| 18 | 2019 | 76 | |
| 19 | 2020 | 74 | |
| 20 | 2019 | 62 |
About Kai-Wei Chang
Kai-Wei Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Management Science and Operations Research, having authored 192 papers that have together received 6.4k indexed citations. Recurring topics across this work include Topic Modeling (108 papers), Natural Language Processing Techniques (77 papers), Multimodal Machine Learning Applications (34 papers), Domain Adaptation and Few-Shot Learning (20 papers), Adversarial Robustness in Machine Learning (20 papers), Machine Learning and Data Classification (11 papers), Advanced Text Analysis Techniques (9 papers) and Text Readability and Simplification (8 papers). The work is most often cited by research in Artificial Intelligence (4.3k citations), Health Informatics (153 citations), Software (206 citations), Safety Research (420 citations) and General Social Sciences (164 citations). Kai-Wei Chang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Wasi Uddin Ahmad, Jieyu Zhao, Nanyun Peng, Mark Yatskar, Adam Tauman Kalai, James Zou, Tolga Bolukbasi, Venkatesh Saligrama, Vicente Ordóñez and Kiven Erique Lukong. Their work appears in journals such as Transactions of the Association for Computational Linguistics, American Journal of Public Health, Journal of Computational Biology, Proceedings of the National Academy of Sciences and Bioinformatics.
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.