Weijun Wang
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- Robotic Path Planning Algorithms 9
- Advanced Neural Network Applications 8
- Video Surveillance and Tracking Methods 6
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- Industrial Vision Systems and Defect Detection 11
- Human-Computer Interaction top 10%
- Control and Systems Engineering top 10%
- Robotic Mechanisms and Dynamics 8
- Robot Manipulation and Learning 7
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- Superconducting Materials and Applications 7
- Prosthetics and Rehabilitation Robotics 6
- Co-authors
- Qujiang LeiWei FengGong ZhangZhicheng HouChang-Soo HanChangge JiZhaoxi SunJohn Z. H. Zhang
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringHuman-Computer Interaction
- Partner nations
- ChinaSouth KoreaTaiwan
In The Last Decade
Weijun Wang
66 papers receiving 628 citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 215
- Industrial and Manufacturing Engineering 77
- Human-Computer Interaction 26
- Control and Systems Engineering 107
- Computational Theory and Mathematics 57
Countries citing papers authored by Weijun Wang
This map shows the geographic impact of Weijun 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 Weijun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijun Wang more than expected).
Fields of papers citing papers by Weijun Wang
This network shows the impact of papers produced by Weijun 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 Weijun Wang. The network helps show where Weijun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weijun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 27 | |
| 17 | 2020 | 41 | |
| 18 | 2019 | 10 | |
| 19 | 2017 | 4 | |
| 20 | An improved line following optimization algorithm for mobile robot | 2012 | 6 |
About Weijun Wang
Weijun Wang is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 77 papers that have together received 653 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (11 papers), Robotic Path Planning Algorithms (9 papers), Advanced Neural Network Applications (8 papers), Robotic Mechanisms and Dynamics (8 papers), Robot Manipulation and Learning (7 papers), Superconducting Materials and Applications (7 papers), Video Surveillance and Tracking Methods (6 papers) and Prosthetics and Rehabilitation Robotics (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Industrial and Manufacturing Engineering (77 citations) and Human-Computer Interaction (26 citations). Weijun Wang has collaborated with scholars based in China, South Korea and Taiwan. Frequent co-authors include Qujiang Lei, Wei Feng, Gong Zhang, Zhicheng Hou, Chang-Soo Han, Changge Ji, Zhaoxi Sun, John Z. H. Zhang, Chen–Fu Chien and Xuejun Jiang. Their work appears in journals such as IEEE Access, Sensors and Neurocomputing.
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.