Wenda Qin
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Aerospace Engineering
- Co-authors
- Dingde JiangZhihan LvLiuwei HuoHoubing SongZhengzheng XuMargrit BetkeDerry WijayaYi Zheng
- Topics
- Handwritten Text Recognition Techniques (5 papers)Internet Traffic Analysis and Secure E-voting (3 papers)Anomaly Detection Techniques and Applications (3 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Intelligent Transportation SystemsJournal of Information ScienceScience China Information Sciences
- Partner nations
- ChinaEgyptUnited States
In The Last Decade
Wenda Qin
12 papers receiving 234 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 135
- Electrical and Electronic Engineering 95
- Artificial Intelligence 78
- Computer Vision and Pattern Recognition 48
- Aerospace Engineering 18
Countries citing papers authored by Wenda Qin
This map shows the geographic impact of Wenda Qin'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 Wenda Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenda Qin more than expected).
Fields of papers citing papers by Wenda Qin
This network shows the impact of papers produced by Wenda Qin. 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 Wenda Qin. The network helps show where Wenda Qin may publish in the future.
Co-authorship network of co-authors of Wenda Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Wenda Qin. A scholar is included among the top collaborators of Wenda Qin 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 Wenda Qin. Wenda Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 151 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 32 | |
| 11 | 8 | |
| 12 | 5 |
About Wenda Qin
Wenda Qin is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Computer Science Applications, having authored 12 papers that have together received 245 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Networks and Communications (135 citations), Artificial Intelligence (78 citations) and Computer Vision and Pattern Recognition (48 citations). Wenda Qin has collaborated with scholars based in China, Egypt and United States. Frequent co-authors include Dingde Jiang, Zhihan Lv, Liuwei Huo, Houbing Song, Zhengzheng Xu, Margrit Betke, Derry Wijaya, Yi Zheng, Bryan A. Plummer and Zhongping Zhang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Information Science and Science China Information Sciences.
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.