Kewei Cheng
Impact in
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Cryptography and Data Security
- Advanced Graph Neural Networks
- Anomaly Detection Techniques and Applications
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- Face and Expression Recognition
Papers in
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- Advanced Graph Neural Networks 7
- Topic Modeling 5
- Solar Radiation and Photovoltaics 3
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- Solar Thermal and Photovoltaic Systems 4
- Co-authors
- Jundong Li (5 shared papers)Huan Liu (3 shared papers)Jiliang Tang (2 shared papers)Fred Morstatter (1 shared paper)Robert P. Treviño (1 shared paper)Suhang Wang (1 shared paper)Hao Li (7 shared papers)Zhijian Liu (6 shared papers)
- Journals
- Journal of Energy Chemistry (2 papers)Proceedings of the VLDB Endowment (1 paper)ACM Transactions on Knowledge Discovery from Data (1 paper)Applied Sciences (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kewei Cheng
28 papers receiving 2.6k citations
Kewei Cheng's Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 463
- Signal Processing 148
- Renewable Energy, Sustainability and the Environment 178
- Information Systems 222
Countries citing papers authored by Kewei Cheng
This map shows the geographic impact of Kewei Cheng'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 Kewei Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kewei Cheng more than expected).
Fields of papers citing papers by Kewei Cheng
This network shows the impact of papers produced by Kewei Cheng. 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 Kewei Cheng. The network helps show where Kewei Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Kewei Cheng, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Feature Selection Hit paper breakdown → | 2017 | 1624 |
| 2 | SecureBoost: A Lossless Federated Learning Framework Hit paper breakdown → | 2021 | 340 |
| 3 | 2016 | 146 | |
| 4 | 2017 | 83 | |
| 5 | 2020 | 62 | |
| 6 | 2020 | 51 | |
| 7 | 2015 | 37 | |
| 8 | 2018 | 37 | |
| 9 | 2017 | 35 | |
| 10 | 2022 | 31 | |
| 11 | 2017 | 29 | |
| 12 | 2016 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 19 | |
| 15 | 2014 | 15 | |
| 16 | 2015 | 15 | |
| 17 | 2015 | 11 | |
| 18 | 2024 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2024 | 7 |
About Kewei Cheng
Kewei Cheng is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Information Systems, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (7 papers), Topic Modeling (5 papers), Solar Thermal and Photovoltaic Systems (4 papers), Data Quality and Management (3 papers), Solar Radiation and Photovoltaics (3 papers), Advancements in Battery Materials (3 papers), Advanced Battery Materials and Technologies (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (463 citations), Signal Processing (148 citations), Renewable Energy, Sustainability and the Environment (178 citations) and Information Systems (222 citations). Kewei Cheng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jundong Li, Huan Liu, Jiliang Tang, Fred Morstatter, Robert P. Treviño, Suhang Wang, Hao Li, Zhijian Liu, Tao Fan and Yang Liu. Their work appears in journals such as Journal of Energy Chemistry, Proceedings of the VLDB Endowment, ACM Transactions on Knowledge Discovery from Data, Applied Sciences and IEEE Intelligent 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.