Wei‐Jun Chen
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
- Co-authors
- Hongbo HuangShuai PengChangsheng ZhouCuiping ZhangYongxin SuYahui LiuXiuying WangWei Shao
- Topics
- Electromagnetic Simulation and Numerical Methods (17 papers)Electromagnetic Scattering and Analysis (10 papers)Microwave Engineering and Waveguides (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringSignal Processing
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Wei‐Jun Chen
45 papers receiving 691 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 243
- Electrical and Electronic Engineering 185
- Artificial Intelligence 121
- Atomic and Molecular Physics, and Optics 95
- Biomedical Engineering 79
Countries citing papers authored by Wei‐Jun Chen
This map shows the geographic impact of Wei‐Jun Chen'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 Wei‐Jun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Jun Chen more than expected).
Fields of papers citing papers by Wei‐Jun Chen
This network shows the impact of papers produced by Wei‐Jun Chen. 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 Wei‐Jun Chen. The network helps show where Wei‐Jun Chen may publish in the future.
Co-authorship network of co-authors of Wei‐Jun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Jun Chen. A scholar is included among the top collaborators of Wei‐Jun Chen 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 Wei‐Jun Chen. Wei‐Jun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | YOLO-FaceV2: A scale and occlusion aware face detectorbreakdown → | 136 |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 24 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Simulation analysis for coupling ratio of spatial light to Bragg fiber | 1 |
| 16 | TEMPERATURE DETECTING SYSTEM FOR FOOD STORING | 0 |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 70 |
About Wei‐Jun Chen
Wei‐Jun Chen is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 57 papers that have together received 736 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (17 papers), Electromagnetic Scattering and Analysis (10 papers) and Microwave Engineering and Waveguides (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (243 citations), Industrial and Manufacturing Engineering (46 citations) and Signal Processing (45 citations). Wei‐Jun Chen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hongbo Huang, Shuai Peng, Changsheng Zhou, Cuiping Zhang, Yongxin Su, Yahui Liu, Xiuying Wang, Wei Shao, Bing‐Zhong Wang and Ming Zhou. Their work appears in journals such as Chemical Engineering Journal, Physical Chemistry Chemical Physics and Pattern Recognition.
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.