Zeyi Wen
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Machine Learning and Data Classification
- Stochastic Gradient Optimization Techniques
- Anomaly Detection Techniques and Applications
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Machine Learning and Data Classification 11
- Anomaly Detection Techniques and Applications 8
- Text and Document Classification Technologies 6
- Algorithms and Data Compression 4
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- Advanced Image and Video Retrieval Techniques 7
- Face and Expression Recognition 6
- Co-authors
- Bingsheng He (20 shared papers)Qinbin Li (8 shared papers)Jiashuai Shi (6 shared papers)Kotagiri Ramamohanarao (8 shared papers)Rui Zhang (9 shared papers)Jianzhong Qi (6 shared papers)Jian Chen (10 shared papers)Zhen He (3 shared papers)
In The Last Decade
Zeyi Wen
40 papers receiving 603 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 370
- Signal Processing 109
- Computer Science Applications 31
- Health Informatics 7
- Transportation 36
Countries citing papers authored by Zeyi Wen
This map shows the geographic impact of Zeyi Wen'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 Zeyi Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeyi Wen more than expected).
Fields of papers citing papers by Zeyi Wen
This network shows the impact of papers produced by Zeyi Wen. 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 Zeyi Wen. The network helps show where Zeyi Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeyi Wen, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | ThunderSVM: A Fast SVM Library on GPUs and CPUs | 2018 | 118 |
| 3 | Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection | 2019 | 47 |
| 4 | 2020 | 44 | |
| 5 | 2019 | 41 | |
| 6 | 2011 | 41 | |
| 7 | 2018 | 33 | |
| 8 | ThunderGBM: Fast GBDTs and Random Forests on GPUs | 2020 | 21 |
| 9 | 2013 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2014 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2019 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2014 | 6 | |
| 20 | 2018 | 5 |
About Zeyi Wen
Zeyi Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 49 papers that have together received 619 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (11 papers), Anomaly Detection Techniques and Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Face and Expression Recognition (6 papers), Data Management and Algorithms (6 papers), Text and Document Classification Technologies (6 papers), Data Quality and Management (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Artificial Intelligence (370 citations), Signal Processing (109 citations), Computer Science Applications (31 citations), Health Informatics (7 citations) and Transportation (36 citations). Zeyi Wen has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Bingsheng He, Qinbin Li, Jiashuai Shi, Kotagiri Ramamohanarao, Rui Zhang, Jianzhong Qi, Jian Chen, Zhen He, Jin Huang and Jian Chen. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Knowledge and Data Engineering, World Wide Web, Journal of Machine Learning Research and Knowledge and 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.