Shuqiang Wang
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Neurology top 2%
- Topics
- Functional Brain Connectivity Studies (15 papers)Brain Tumor Detection and Classification (15 papers)Advanced Neuroimaging Techniques and Applications (13 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of The Electrochemical SocietyScientific Reports
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shuqiang Wang
195 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Artificial Intelligence 690
- Computer Vision and Pattern Recognition 579
- Electrical and Electronic Engineering 452
- Radiology, Nuclear Medicine and Imaging 431
- Neurology 429
Countries citing papers authored by Shuqiang Wang
This map shows the geographic impact of Shuqiang 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 Shuqiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuqiang Wang more than expected).
Fields of papers citing papers by Shuqiang Wang
This network shows the impact of papers produced by Shuqiang 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 Shuqiang Wang. The network helps show where Shuqiang Wang may publish in the future.
Co-authorship network of co-authors of Shuqiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuqiang Wang. A scholar is included among the top collaborators of Shuqiang 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 Shuqiang Wang. Shuqiang 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 40 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 87 | |
| 18 | 2 | |
| 19 | 18 | |
| 20 | 193 |
About Shuqiang Wang
Shuqiang Wang is a scholar working on Computational Mathematics, Neurology and Computer Vision and Pattern Recognition, having authored 221 papers that have together received 3.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Brain Tumor Detection and Classification (15 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). The work is most often cited by research in Modeling and Simulation (330 citations), Neurology (429 citations) and Health Informatics (50 citations). Shuqiang Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ji‐Huan He, Yanyan Shen, Baiying Lei, Yong Hu, Tianfu Wang, Michael K. Ng, Liming Deng, Xiangyu Wang, Qiankun Zuo and Xinyan Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of The Electrochemical Society and Scientific Reports.
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.