Dennis Wei
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
-
- Adversarial Robustness in Machine Learning 7
- Explainable Artificial Intelligence (XAI) 6
- Bayesian Modeling and Causal Inference 6
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- Sparse and Compressive Sensing Techniques 10
- Advanced Adaptive Filtering Techniques 6
- Co-authors
- Kush R. Varshney (19 shared papers)Karthikeyan Natesan Ramamurthy (15 shared papers)Flávio P. Calmon (5 shared papers)Bhanukiran Vinzamuri (2 shared papers)Alfred O. Hero (14 shared papers)Alan V. Oppenheim (4 shared papers)Amit Dhurandhar (8 shared papers)Yunfeng Zhang (6 shared papers)
- Journals
- IEEE Transactions on Signal Processing (4 papers)IEEE Transactions on Information Theory (2 papers)Journal of Machine Learning Research (2 papers)IEEE Journal of Selected Topics in Signal Processing (2 papers)Pattern Recognition Letters (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Dennis Wei
57 papers receiving 930 citations
Peers
Comparison fields: 5 of 111
- Health Informatics 101
- Safety Research 256
- Artificial Intelligence 555
- General Decision Sciences 15
- Signal Processing 72
Countries citing papers authored by Dennis Wei
This map shows the geographic impact of Dennis Wei'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 Dennis Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Wei more than expected).
Fields of papers citing papers by Dennis Wei
This network shows the impact of papers produced by Dennis Wei. 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 Dennis Wei. The network helps show where Dennis Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Dennis Wei, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Optimized Pre-Processing for Discrimination Prevention | 2017 | 199 |
| 2 | 2022 | 97 | |
| 3 | 2019 | 60 | |
| 4 | 2019 | 47 | |
| 5 | AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models | 2020 | 41 |
| 6 | 2020 | 37 | |
| 7 | 2013 | 31 | |
| 8 | 2019 | 29 | |
| 9 | 2021 | 27 | |
| 10 | 2012 | 26 | |
| 11 | 2012 | 25 | |
| 12 | 2018 | 24 | |
| 13 | 2022 | 24 | |
| 14 | 2019 | 24 | |
| 15 | 2015 | 22 | |
| 16 | 2020 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 2016 | 21 | |
| 19 | 2007 | 18 | |
| 20 | Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods | 2013 | 17 |
About Dennis Wei
Dennis Wei is a scholar working on Artificial Intelligence, Computational Mechanics, Safety Research, Computer Networks and Communications and Statistics and Probability, having authored 60 papers that have together received 986 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Ethics and Social Impacts of AI (9 papers), Distributed Sensor Networks and Detection Algorithms (8 papers), Adversarial Robustness in Machine Learning (7 papers), Explainable Artificial Intelligence (XAI) (6 papers), Statistical Methods and Inference (6 papers), Advanced Adaptive Filtering Techniques (6 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Health Informatics (101 citations), Safety Research (256 citations), Artificial Intelligence (555 citations), General Decision Sciences (15 citations) and Signal Processing (72 citations). Dennis Wei has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon, Bhanukiran Vinzamuri, Alfred O. Hero, Alan V. Oppenheim, Amit Dhurandhar, Yunfeng Zhang, Aleksandra Mojsilović and Richard Tomsett. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, Journal of Machine Learning Research, IEEE Journal of Selected Topics in Signal Processing and Pattern Recognition Letters.
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.