Erwei Wang
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Advanced Neural Network Applications
Papers in
-
- Advanced Neural Network Applications 10
-
- Adversarial Robustness in Machine Learning 7
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Peter Y. K. Cheung (11 shared papers)James J. Davis (9 shared papers)George A. Constantinides (10 shared papers)Xiaoting Li (1 shared paper)Lixin Zhang (1 shared paper)Fenghui Chen (1 shared paper)Chaofeng Zhang (1 shared paper)Rongxuan Zhao (3 shared papers)
- Journals
- Physica B Condensed Matter (1 paper)ACM Transactions on Reconfigurable Technology and Systems (1 paper)Biochemical and Biophysical Research Communications (1 paper)Expert Systems with Applications (1 paper)ACM Transactions on Embedded Computing Systems (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Erwei Wang
22 papers receiving 459 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 98
- Computer Vision and Pattern Recognition 154
- Hardware and Architecture 41
- Artificial Intelligence 122
- Neurology 20
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2019 | 55 | |
| 3 | 2019 | 45 | |
| 4 | 2020 | 35 | |
| 5 | 2018 | 33 | |
| 6 | 2019 | 31 | |
| 7 | 2022 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2021 | 18 | |
| 10 | 2019 | 15 | |
| 11 | 2018 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2022 | 3 | |
| 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, Materials Chemistry and Sociology and Political Science, having authored 26 papers that have together received 462 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Adversarial Robustness in Machine Learning (7 papers), Advanced Memory and Neural Computing (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Anodic Oxide Films and Nanostructures (3 papers), CCD and CMOS Imaging Sensors (3 papers), Digital Marketing and Social Media (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Cancer Research (98 citations), Computer Vision and Pattern Recognition (154 citations), Hardware and Architecture (41 citations), Artificial Intelligence (122 citations) and Neurology (20 citations). Erwei Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Peter Y. K. Cheung, James J. Davis, George A. Constantinides, Xiaoting Li, Lixin Zhang, Fenghui Chen, Chaofeng Zhang, Rongxuan Zhao, Ho-Cheung Ng and Xinyu Niu. Their work appears in journals such as Physica B Condensed Matter, ACM Transactions on Reconfigurable Technology and Systems, Biochemical and Biophysical Research Communications, Expert Systems with Applications and ACM Transactions on Embedded Computing 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.