Wenjian Wang
- Artificial Intelligence top 2%
- Environmental Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Health, Toxicology and Mutagenesis top 5%
- Electrical and Electronic Engineering
- Co-authors
- Jane W. Z. LuHusheng GuoZongben XuXiaoyun ZhangXiekang WangAndrew Y. T. LeungPeng ZhouLei Shi
- Topics
- Face and Expression Recognition (20 papers)Advanced Algorithms and Applications (15 papers)Air Quality Monitoring and Forecasting (11 papers)
In The Last Decade
Wenjian Wang
97 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 793
- Environmental Engineering 508
- Computer Vision and Pattern Recognition 460
- Health, Toxicology and Mutagenesis 299
- Electrical and Electronic Engineering 197
Countries citing papers authored by Wenjian Wang
This map shows the geographic impact of Wenjian 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 Wenjian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjian Wang more than expected).
Fields of papers citing papers by Wenjian Wang
This network shows the impact of papers produced by Wenjian 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 Wenjian Wang. The network helps show where Wenjian Wang may publish in the future.
Co-authorship network of co-authors of Wenjian Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Wenjian Wang. A scholar is included among the top collaborators of Wenjian 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 Wenjian Wang. Wenjian 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 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 47 | |
| 15 | 2 | |
| 16 | A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective | 8 |
| 17 | 1 | |
| 18 | A Kernel Granular Support Vector Machine Based on Association Rules | 3 |
| 19 | Research on SVM learning algorithms based on neural networks | 1 |
| 20 | Kernel parameter selection method based on estimation of convex | 3 |
About Wenjian Wang
Wenjian Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 108 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (20 papers), Advanced Algorithms and Applications (15 papers) and Air Quality Monitoring and Forecasting (11 papers). The work is most often cited by research in Environmental Engineering (508 citations), Artificial Intelligence (793 citations) and Computer Vision and Pattern Recognition (460 citations). Wenjian Wang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jane W. Z. Lu, Husheng Guo, Zongben Xu, Xiaoyun Zhang, Zongben Xu, Xiekang Wang, Andrew Y. T. Leung, Peng Zhou, Lei Shi and Liang Du. Their work appears in journals such as Chemosphere, Environment International 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.