Yiwei Wang
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
-
- FinTech, Crowdfunding, Digital Finance
Papers in
-
- Human Pose and Action Recognition 5
-
- Robot Manipulation and Learning 7
- Co-authors
- James L. Goodson (1 shared paper)Jarrett E. K. Byrnes (1 shared paper)Rachel E. Wheat (1 shared paper)Christopher C. Wilmers (2 shared papers)Caleb M. Bryce (2 shared papers)Terrie M. Williams (2 shared papers)Jai Ranganathan (1 shared paper)Wenlong Zhang (5 shared papers)
- Journals
- IEEE Robotics and Automation Letters (4 papers)Cerebral Cortex (3 papers)Applied Intelligence (1 paper)Materials Characterization (1 paper)Journal of Inequalities and Applications (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yiwei Wang
76 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 167
- Developmental Biology 65
- Management Information Systems 100
- Neurology 75
- Small Animals 63
- Ecology 213
Countries citing papers authored by Yiwei Wang
This map shows the geographic impact of Yiwei 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 Yiwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwei Wang more than expected).
Fields of papers citing papers by Yiwei Wang
This network shows the impact of papers produced by Yiwei 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 Yiwei Wang. The network helps show where Yiwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwei 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 152 | |
| 2 | 2012 | 137 | |
| 3 | 2015 | 119 | |
| 4 | 2017 | 115 | |
| 5 | 2006 | 104 | |
| 6 | 2023 | 81 | |
| 7 | 2020 | 46 | |
| 8 | 2002 | 39 | |
| 9 | 2017 | 37 | |
| 10 | 2018 | 34 | |
| 11 | 2018 | 31 | |
| 12 | 2016 | 30 | |
| 13 | 2017 | 27 | |
| 14 | 2022 | 27 | |
| 15 | 2022 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2024 | 21 | |
| 18 | 2022 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2022 | 17 |
About Yiwei Wang
Yiwei Wang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, Electrical and Electronic Engineering and Surgery, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Surgical Simulation and Training (5 papers), Human Pose and Action Recognition (5 papers), Soft Robotics and Applications (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Hand Gesture Recognition Systems (4 papers), Information Retrieval and Search Behavior (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Developmental Biology (65 citations), Management Information Systems (100 citations), Neurology (75 citations), Small Animals (63 citations) and Ecology (213 citations). Yiwei Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include James L. Goodson, Jarrett E. K. Byrnes, Rachel E. Wheat, Christopher C. Wilmers, Caleb M. Bryce, Terrie M. Williams, Jai Ranganathan, Wenlong Zhang, Hongquan Dong and Yanning Qian. Their work appears in journals such as IEEE Robotics and Automation Letters, Cerebral Cortex, Applied Intelligence, Materials Characterization and Journal of Inequalities and Applications.
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.