Shuqin Wang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Building and Construction top 1%
- Biomedical Engineering top 10%
- Transportation top 1%
- Topics
- Face and Expression Recognition (20 papers)Sparse and Compressive Sensing Techniques (12 papers)Rough Sets and Fuzzy Logic (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsThe Science of The Total Environment
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Shuqin Wang
94 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 529
- Artificial Intelligence 461
- Building and Construction 435
- Biomedical Engineering 334
- Transportation 330
Countries citing papers authored by Shuqin Wang
This map shows the geographic impact of Shuqin 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 Shuqin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuqin Wang more than expected).
Fields of papers citing papers by Shuqin Wang
This network shows the impact of papers produced by Shuqin 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 Shuqin Wang. The network helps show where Shuqin Wang may publish in the future.
Co-authorship network of co-authors of Shuqin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuqin Wang. A scholar is included among the top collaborators of Shuqin 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 Shuqin Wang. Shuqin 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 | 1 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | Removal of organic compounds by nanoscale zero-valent iron and its compositesbreakdown → | 310 |
| 14 | 24 | |
| 15 | 4 | |
| 16 | 20 | |
| 17 | 63 | |
| 18 | Analysis of Structural Styles in Northern Segment of Tancheng—Lujiang Fault Zone | 8 |
| 19 | Digital watermarking arithmetic benchmarking | 0 |
| 20 | Study on the nutrients of arable soil in Haidian district of Beijing | 1 |
About Shuqin Wang
Shuqin Wang is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 107 papers that have together received 2.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (20 papers), Sparse and Compressive Sensing Techniques (12 papers) and Rough Sets and Fuzzy Logic (11 papers). The work is most often cited by research in Computational Mathematics (99 citations), Transportation (330 citations) and Building and Construction (435 citations). Shuqin Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yongyong Chen, Yunpeng Wang, Haiyang Yu, Xiaolei Ma, Zhihai Wu, Jinmao Wei, Yicong Zhou, Qian Li, Huihui Wang and Tao Wen. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics 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.