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
- Text and Document Classification Technologies
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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
- Photovoltaic System Optimization Techniques 2
- Co-authors
- Jundong LiHuan LiuJiliang TangFred MorstatterRobert P. TreviñoSuhang WangHao LiZhijian Liu
- Journals
- Journal of Energy Chemistry (2 papers)Energies (1 paper)SpringerPlus (1 paper)Environmental Science and Pollution Research (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Kewei Cheng
28 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 451
- Signal Processing 142
- Renewable Energy, Sustainability and the Environment 177
- Information Systems 215
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 19 | |
| 8 | SecureBoost: A Lossless Federated Learning Framework Hit paper breakdown → | 2021 | 325 |
| 9 | 2021 | 2 | |
| 10 | 2021 | 0 | |
| 11 | 2020 | 62 | |
| 12 | NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN | 2019 | 2 |
| 13 | Feature Selection Hit paper breakdown → | 2017 | 1541 |
| 14 | 2017 | 82 | |
| 15 | 2017 | 34 | |
| 16 | 2016 | 23 | |
| 17 | 2016 | 145 | |
| 18 | 2015 | 11 | |
| 19 | 2015 | 15 | |
| 20 | 2014 | 15 |
About Kewei Cheng
Kewei Cheng is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment, Statistical and Nonlinear Physics, Geology and Electrochemistry, having authored 31 papers that have together received 2.5k 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), Solar Radiation and Photovoltaics (3 papers), Advanced Battery Materials and Technologies (3 papers), Complex Network Analysis Techniques (3 papers), Advancements in Battery Materials (3 papers) and Photovoltaic System Optimization Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (451 citations), Signal Processing (142 citations), Renewable Energy, Sustainability and the Environment (177 citations) and Information Systems (215 citations). Kewei Cheng has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jundong Li, Huan Liu, Jiliang Tang, Fred Morstatter, Robert P. Treviño, Suhang Wang, Hao Li, Zhijian Liu, Yang Liu and Tao Fan. Their work appears in journals such as Journal of Energy Chemistry, Energies, SpringerPlus, Environmental Science and Pollution Research 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.