Ruye Wang
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Reproductive Medicine top 10%
Papers in
-
- Neural dynamics and brain function 4
- Visual perception and processing mechanisms 4
- Co-authors
- Chenyun Miao (10 shared papers)Ying Zhao (11 shared papers)Qin Zhang (10 shared papers)Liuqing Yang (5 shared papers)Yun Chen (1 shared paper)Richard C. Haskell (2 shared papers)Mary Elizabeth Williams (2 shared papers)Daniel C. Petersen (2 shared papers)
- Journals
- Neural Networks (2 papers)Molecular Human Reproduction (1 paper)Journal of Volcanology and Geothermal Research (1 paper)Nutrition (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ruye Wang
23 papers receiving 467 citations
Peers
Comparison fields: 5 of 104
- Biophysics 51
- Reproductive Medicine 38
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 49
- Public Health, Environmental and Occupational Health 55
Countries citing papers authored by Ruye Wang
This map shows the geographic impact of Ruye 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 Ruye Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruye Wang more than expected).
Fields of papers citing papers by Ruye Wang
This network shows the impact of papers produced by Ruye 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 Ruye Wang. The network helps show where Ruye Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruye 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 | 2022 | 89 | |
| 2 | 2000 | 53 | |
| 3 | 2000 | 53 | |
| 4 | 2012 | 48 | |
| 5 | 2012 | 44 | |
| 6 | 2021 | 30 | |
| 7 | 2009 | 23 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 18 | |
| 10 | 1995 | 17 | |
| 11 | 2022 | 16 | |
| 12 | 1996 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 1997 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2003 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 3 |
About Ruye Wang
Ruye Wang is a scholar working on Cognitive Neuroscience, Molecular Biology, Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 483 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (4 papers), Reproductive Biology and Fertility (3 papers), Optical Coherence Tomography Applications (2 papers), Neurobiology and Insect Physiology Research (2 papers), Neural Networks and Applications (2 papers), Blind Source Separation Techniques (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Biophysics (51 citations), Reproductive Medicine (38 citations), Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (49 citations) and Public Health, Environmental and Occupational Health (55 citations). Ruye Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chenyun Miao, Ying Zhao, Qin Zhang, Liuqing Yang, Yun Chen, Richard C. Haskell, Mary Elizabeth Williams, Daniel C. Petersen, Whittier Myers and Yun Chen. Their work appears in journals such as Neural Networks, Molecular Human Reproduction, Journal of Volcanology and Geothermal Research, Nutrition and PLANT PHYSIOLOGY.
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.