Qiong Wang
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Helen FrankishPheng‐Ann HengSteven H. GreenSimon DrydenGareth WilliamsXiangyun LiaoDavid HopkinsYudong Zhang
- Topics
- EEG and Brain-Computer Interfaces (14 papers)3D Shape Modeling and Analysis (13 papers)Medical Image Segmentation Techniques (12 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaThe Science of The Total Environment
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Qiong Wang
160 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 185
- Computer Vision and Pattern Recognition 773
- Biomedical Engineering 586
- Cognitive Neuroscience 494
- Cellular and Molecular Neuroscience 451
- Endocrine and Autonomic Systems 432
Countries citing papers authored by Qiong Wang
This map shows the geographic impact of Qiong 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 Qiong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiong Wang more than expected).
Fields of papers citing papers by Qiong Wang
This network shows the impact of papers produced by Qiong 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 Qiong Wang. The network helps show where Qiong Wang may publish in the future.
Co-authorship network of co-authors of Qiong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Qiong Wang. A scholar is included among the top collaborators of Qiong Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qiong Wang. Qiong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 23 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 24 | |
| 20 | 12 |
About Qiong Wang
Qiong Wang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Neurology, having authored 176 papers that have together received 3.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), 3D Shape Modeling and Analysis (13 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (432 citations), Neurology (420 citations) and Computer Vision and Pattern Recognition (773 citations). Qiong Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Helen Frankish, Pheng‐Ann Heng, Steven H. Green, Simon Dryden, Gareth Williams, Xiangyun Liao, David Hopkins, Yudong Zhang, Chun-Mei Feng and Genlin Ji. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Science of The Total Environment.
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.