Weiqiang Wang
- Computer Vision and Pattern Recognition top 1%
- Geometry and Topology top 1%
- Algebra and Number Theory top 2%
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Co-authors
- Shun‐Jen ChengVictor G. KačWen GaoEdward FrenkelAndrey RadulUsman MuhammadLianlei ShanJie Yang
- Topics
- Advanced Image and Video Retrieval Techniques (29 papers)Algebraic structures and combinatorial models (27 papers)Handwritten Text Recognition Techniques (20 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weiqiang Wang
139 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 720
- Geometry and Topology 574
- Algebra and Number Theory 443
- Statistical and Nonlinear Physics 335
- Artificial Intelligence 234
Countries citing papers authored by Weiqiang Wang
This map shows the geographic impact of Weiqiang 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 Weiqiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiqiang Wang more than expected).
Fields of papers citing papers by Weiqiang Wang
This network shows the impact of papers produced by Weiqiang 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 Weiqiang Wang. The network helps show where Weiqiang Wang may publish in the future.
Co-authorship network of co-authors of Weiqiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Weiqiang Wang. A scholar is included among the top collaborators of Weiqiang 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 Weiqiang Wang. Weiqiang 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 16 | |
| 14 | 3 | |
| 15 | Morphological characteristics of six kinds of mucilaginous seeds and their response to digestion in the rumen of sheep. | 1 |
| 16 | Risk Management and Emergency Response of Oil Pipeline Based on Web GIS | 1 |
| 17 | 3 | |
| 18 | 15 | |
| 19 | 33 | |
| 20 | 17 |
About Weiqiang Wang
Weiqiang Wang is a scholar working on Computer Vision and Pattern Recognition, Algebra and Number Theory and Media Technology, having authored 156 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (29 papers), Algebraic structures and combinatorial models (27 papers) and Handwritten Text Recognition Techniques (20 papers). The work is most often cited by research in Algebra and Number Theory (443 citations), Geometry and Topology (574 citations) and Computer Vision and Pattern Recognition (720 citations). Weiqiang Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shun‐Jen Cheng, Victor G. Kač, Wen Gao, Edward Frenkel, Andrey Radul, Usman Muhammad, Lianlei Shan, Wen Gao, Jie Yang and Kezhong Liu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.
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.