Haoxiang Wang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Co-authors
- Chang ChoiLianbing DengDaming LiBrij B. GuptaXingming ZhangJingbin WangKhan MuhammadJamil Ahmad
- Topics
- Face and Expression Recognition (8 papers)Emotion and Mood Recognition (7 papers)Recommender Systems and Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Haoxiang Wang
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 645
- Artificial Intelligence 405
- Computer Networks and Communications 306
- Information Systems 246
- Signal Processing 169
Countries citing papers authored by Haoxiang Wang
This map shows the geographic impact of Haoxiang 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 Haoxiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoxiang Wang more than expected).
Fields of papers citing papers by Haoxiang Wang
This network shows the impact of papers produced by Haoxiang 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 Haoxiang Wang. The network helps show where Haoxiang Wang may publish in the future.
Co-authorship network of co-authors of Haoxiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Haoxiang Wang. A scholar is included among the top collaborators of Haoxiang 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 Haoxiang Wang. Haoxiang 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 | 5 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 10 | |
| 9 | 22 | |
| 10 | 53 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 43 | |
| 14 | 14 | |
| 15 | 52 | |
| 16 | 36 | |
| 17 | 59 | |
| 18 | 0 | |
| 19 | 7 | |
| 20 | 34 |
About Haoxiang Wang
Haoxiang Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Experimental and Cognitive Psychology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Emotion and Mood Recognition (7 papers) and Recommender Systems and Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (645 citations), Signal Processing (169 citations) and Computer Networks and Communications (306 citations). Haoxiang Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Chang Choi, Lianbing Deng, Daming Li, Brij B. Gupta, Xingming Zhang, Jingbin Wang, Khan Muhammad, Jamil Ahmad, Zhihui Li and Yang Li. Their work appears in journals such as Langmuir, IEEE Transactions on Image Processing 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.