Yifang Wang
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Biomedical Engineering
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Co-authors
- Jun YinYang LiJianzhong FuYong HuangQijiang MaoHuamin QuYingcai WuZhutian Chen
- Topics
- Data Visualization and Analytics (8 papers)Anomaly Detection Techniques and Applications (3 papers)Mental Health Research Topics (3 papers)
- Journals
- World Journal of GastroenterologyAdditive manufacturingIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yifang Wang
21 papers receiving 424 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 145
- Automotive Engineering 138
- Biomedical Engineering 119
- Artificial Intelligence 74
- Human-Computer Interaction 57
Countries citing papers authored by Yifang Wang
This map shows the geographic impact of Yifang 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 Yifang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yifang Wang more than expected).
Fields of papers citing papers by Yifang Wang
This network shows the impact of papers produced by Yifang 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 Yifang Wang. The network helps show where Yifang Wang may publish in the future.
Co-authorship network of co-authors of Yifang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yifang Wang. A scholar is included among the top collaborators of Yifang 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 Yifang Wang. Yifang 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 17 | |
| 11 | 109 | |
| 12 | PMT choices for large detectors | 1 |
| 13 | 27 | |
| 14 | 41 | |
| 15 | 34 | |
| 16 | 36 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 42 | |
| 20 | 10 |
About Yifang Wang
Yifang Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 24 papers that have together received 435 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Anomaly Detection Techniques and Applications (3 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Automotive Engineering (138 citations), Human-Computer Interaction (57 citations) and Computer Vision and Pattern Recognition (145 citations). Yifang Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Yin, Yang Li, Jianzhong Fu, Yong Huang, Qijiang Mao, Huamin Qu, Yingcai Wu, Zhutian Chen, Michael Khan and Nasir Rajpoot. Their work appears in journals such as World Journal of Gastroenterology, Additive manufacturing and IEEE Transactions on Visualization and Computer Graphics.
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.