Guoqing Wang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Molecular Biology
- Signal Processing top 5%
- Media Technology top 2%
- Co-authors
- Changming SunArcot SowmyaHeng Tao ShenJun WangYang YangJiwei WeiXing XuYi Bin
- Topics
- Multimodal Machine Learning Applications (17 papers)Image Enhancement Techniques (15 papers)Domain Adaptation and Few-Shot Learning (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Guoqing Wang
98 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 616
- Artificial Intelligence 259
- Molecular Biology 212
- Signal Processing 199
- Media Technology 150
Countries citing papers authored by Guoqing Wang
This map shows the geographic impact of Guoqing 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 Guoqing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqing Wang more than expected).
Fields of papers citing papers by Guoqing Wang
This network shows the impact of papers produced by Guoqing 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 Guoqing Wang. The network helps show where Guoqing Wang may publish in the future.
Co-authorship network of co-authors of Guoqing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guoqing Wang. A scholar is included among the top collaborators of Guoqing 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 Guoqing Wang. Guoqing 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 | 2 | |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 13 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 18 | |
| 19 | Hand Vein Images Enhancement Based on Local Gray-level Information Histogram | 4 |
| 20 | VISUALIZATION OF DATA MINING RESULTS | 1 |
About Guoqing Wang
Guoqing Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 107 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (17 papers), Image Enhancement Techniques (15 papers) and Domain Adaptation and Few-Shot Learning (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (616 citations), Signal Processing (199 citations) and Media Technology (150 citations). Guoqing Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Changming Sun, Arcot Sowmya, Heng Tao Shen, Jun Wang, Yang Yang, Jiwei Wei, Xing Xu, Yi Bin, Jun Wang and Yuhui Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.