Erwei Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Advanced Neural Network Applications
Papers in ⓘ
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- Advanced Neural Network Applications 10
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- Adversarial Robustness in Machine Learning 7
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Peter Y. K. Cheung (10 shared papers)James J. Davis (9 shared papers)George A. Constantinides (10 shared papers)Fenghui Chen (1 shared paper)Lixin Zhang (1 shared paper)Chaofeng Zhang (1 shared paper)Xiaoting Li (1 shared paper)Wayne Luk (3 shared papers)
- Journals
- Food Chemistry (1 paper)Physica B Condensed Matter (1 paper)Molecules (1 paper)Expert Systems with Applications (1 paper)ACM Transactions on Reconfigurable Technology and Systems (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Erwei Wang
21 papers receiving 429 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 107
- Computer Vision and Pattern Recognition 142
- Hardware and Architecture 36
- Artificial Intelligence 112
- Neurology 22
Countries citing papers authored by Erwei Wang
This map shows the geographic impact of Erwei Wang'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 Erwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwei Wang more than expected).
Fields of papers citing papers by Erwei Wang
This network shows the impact of papers produced by Erwei Wang. 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 Erwei Wang. The network helps show where Erwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Erwei Wang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 119 | |
| 2 | 2019 | 50 | |
| 3 | 2019 | 41 | |
| 4 | 2018 | 32 | |
| 5 | 2020 | 31 | |
| 6 | 2019 | 29 | |
| 7 | 2022 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 15 | |
| 11 | 2018 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2019 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 1 |
About Erwei Wang
Erwei Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Sociology and Political Science and Materials Chemistry, having authored 23 papers that have together received 433 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Adversarial Robustness in Machine Learning (7 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Memory and Neural Computing (4 papers), CCD and CMOS Imaging Sensors (3 papers), Anodic Oxide Films and Nanostructures (2 papers), Digital Marketing and Social Media (2 papers) and Magnetic properties of thin films (2 papers). The work is most often cited by research in Cancer Research (107 citations), Computer Vision and Pattern Recognition (142 citations), Hardware and Architecture (36 citations), Artificial Intelligence (112 citations) and Neurology (22 citations). Erwei Wang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Peter Y. K. Cheung, James J. Davis, George A. Constantinides, Fenghui Chen, Lixin Zhang, Chaofeng Zhang, Xiaoting Li, Wayne Luk, Rongxuan Zhao and Xinyu Niu. Their work appears in journals such as Food Chemistry, Physica B Condensed Matter, Molecules, Expert Systems with Applications and ACM Transactions on Reconfigurable Technology and 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.