Wenjia Wang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Control and Systems Engineering top 10%
- Topics
- Face and Expression Recognition (6 papers)Neural Networks and Applications (6 papers)Advanced Clustering Algorithms Research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Affective Disorders
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Wenjia Wang
62 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 504
- Artificial Intelligence 257
- Media Technology 168
- Radiology, Nuclear Medicine and Imaging 115
- Control and Systems Engineering 94
Countries citing papers authored by Wenjia Wang
This map shows the geographic impact of Wenjia 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 Wenjia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjia Wang more than expected).
Fields of papers citing papers by Wenjia Wang
This network shows the impact of papers produced by Wenjia 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 Wenjia Wang. The network helps show where Wenjia Wang may publish in the future.
Co-authorship network of co-authors of Wenjia Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Wenjia Wang. A scholar is included among the top collaborators of Wenjia 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 Wenjia Wang. Wenjia 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 | 4 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | 59 | |
| 15 | 18 | |
| 16 | 37 | |
| 17 | Retinal vessel segmentation using Gabor Filter and Textons | 5 |
| 18 | Locating blood vessels in retinal images using unified Textons | 2 |
| 19 | Survey on online auction trust models | 1 |
| 20 | Multi-Version Systems of Neural Networks for Predicting the Risk of Osteoporosis | 1 |
About Wenjia Wang
Wenjia Wang is a scholar working on Fuel Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Neural Networks and Applications (6 papers) and Advanced Clustering Algorithms Research (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (504 citations), Media Technology (168 citations) and Artificial Intelligence (257 citations). Wenjia Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Enze Xie, Chunhua Shen, Gang Yu, Wenhai Wang, Yuhang Zang, Tong Lü, Mark Fisher, Yanchao Sun, Lei Zhang and Chuanjiang Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Affective Disorders.
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.