Xiaohua Wang
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Cognitive Neuroscience
- Co-authors
- Min HuFuji RenDong GuoFei QianRonggui WangJuan YangHaowen WangYing Li
- Topics
- Emotion and Mood Recognition (16 papers)Face and Expression Recognition (13 papers)Face recognition and analysis (8 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionCardiology and Cardiovascular Medicine
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Xiaohua Wang
57 papers receiving 760 citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 243
- Experimental and Cognitive Psychology 202
- Biomedical Engineering 184
- Cardiology and Cardiovascular Medicine 124
- Cognitive Neuroscience 58
Countries citing papers authored by Xiaohua Wang
This map shows the geographic impact of Xiaohua 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 Xiaohua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Wang more than expected).
Fields of papers citing papers by Xiaohua Wang
This network shows the impact of papers produced by Xiaohua 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 Xiaohua Wang. The network helps show where Xiaohua Wang may publish in the future.
Co-authorship network of co-authors of Xiaohua Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Wang. A scholar is included among the top collaborators of Xiaohua 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 Xiaohua Wang. Xiaohua 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 | 4 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 88 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 18 | |
| 12 | 27 | |
| 13 | 86 | |
| 14 | 2 | |
| 15 | 16 | |
| 16 | 15 | |
| 17 | 25 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | The Geochemical Characteristics and Significance of Aromatic Hydrocarbon of Eastern Xinjiang Area Crude Oils | 2 |
About Xiaohua Wang
Xiaohua Wang is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Urban Studies, having authored 66 papers that have together received 772 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (16 papers), Face and Expression Recognition (13 papers) and Face recognition and analysis (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (202 citations), Computer Vision and Pattern Recognition (243 citations) and Cardiology and Cardiovascular Medicine (124 citations). Xiaohua Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Min Hu, Fuji Ren, Dong Guo, Fei Qian, Ronggui Wang, Juan Yang, Haowen Wang, Ying Li, Chunhua Jin and Ran Song. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and IEEE Access.
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.