Yujiang Wang
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Electrochemistry top 5%
- Media Technology top 5%
- Molecular Biology
- Co-authors
- Cuiling LiYi SuXiangyu LvIvor W. TsangJames T. KwokSenwang ZhangMaja PantićJie Shen
- Topics
- Face recognition and analysis (6 papers)Advancements in Battery Materials (6 papers)Advanced Battery Materials and Technologies (5 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Yujiang Wang
29 papers receiving 522 citations
Peers
Comparison fields: 5 of 93
- Electrical and Electronic Engineering 230
- Computer Vision and Pattern Recognition 169
- Electrochemistry 116
- Media Technology 94
- Molecular Biology 82
Countries citing papers authored by Yujiang Wang
This map shows the geographic impact of Yujiang 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 Yujiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujiang Wang more than expected).
Fields of papers citing papers by Yujiang Wang
This network shows the impact of papers produced by Yujiang 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 Yujiang Wang. The network helps show where Yujiang Wang may publish in the future.
Co-authorship network of co-authors of Yujiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yujiang Wang. A scholar is included among the top collaborators of Yujiang 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 Yujiang Wang. Yujiang 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 18 | |
| 13 | 0 | |
| 14 | Generalization Bound of Gradient Descent for Non-Convex Metric Learning | 2 |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 4 | |
| 18 | 173 | |
| 19 | 32 | |
| 20 | 120 |
About Yujiang Wang
Yujiang Wang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Virology, having authored 36 papers that have together received 542 indexed citations. Recurring topics across this work include Face recognition and analysis (6 papers), Advancements in Battery Materials (6 papers) and Advanced Battery Materials and Technologies (5 papers). The work is most often cited by research in Electrochemistry (116 citations), Media Technology (94 citations) and Bioengineering (47 citations). Yujiang Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Cuiling Li, Yi Su, Xiangyu Lv, Ivor W. Tsang, James T. Kwok, Senwang Zhang, Maja Pantić, Jie Shen, Stavros Petridis and Bingnan Luo. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.