Dehua Wei
Impact in
-
- Industrial Vision Systems and Defect Detection
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
-
- Railway Engineering and Dynamics 7
- Hydraulic and Pneumatic Systems 3
- Electrical Contact Performance and Analysis 2
-
- Vehicle License Plate Recognition 7
- Co-authors
- Xiukun Wei (8 shared papers)Yujie Li (2 shared papers)Limin Jia (4 shared papers)Yuxin Liu (2 shared papers)Ziming Yang (1 shared paper)Limin Jia (2 shared papers)Ji Yang (1 shared paper)Qingfeng Tang (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (2 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Applied Sciences (1 paper)Sensors (1 paper)IEEE Access (1 paper)
- Partner nations
- China
In The Last Decade
Dehua Wei
15 papers receiving 418 citations
Dehua Wei's Hit Papers
Peers
Comparison fields: 5 of 58
- Industrial and Manufacturing Engineering 129
- Media Technology 101
- Civil and Structural Engineering 212
- Computer Vision and Pattern Recognition 123
- Mechanical Engineering 194
Countries citing papers authored by Dehua Wei
This map shows the geographic impact of Dehua Wei'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 Dehua Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehua Wei more than expected).
Fields of papers citing papers by Dehua Wei
This network shows the impact of papers produced by Dehua Wei. 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 Dehua Wei. The network helps show where Dehua Wei may publish in the future.
Co-authors
The 20 scholars most cited alongside Dehua Wei, 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 | Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study Hit paper breakdown → | 2019 | 253 |
| 2 | 2020 | 102 | |
| 3 | 2023 | 23 | |
| 4 | 2019 | 14 | |
| 5 | 2022 | 11 | |
| 6 | 2009 | 4 | |
| 7 | A fault identification method for HVDC transmission with long line based on boundary characteristics | 2018 | 3 |
| 8 | 2009 | 3 | |
| 9 | 2011 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2012 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2012 | 1 | |
| 16 | 2022 | 0 |
About Dehua Wei
Dehua Wei is a scholar working on Mechanical Engineering, Media Technology, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 16 papers that have together received 425 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (7 papers), Railway Engineering and Dynamics (7 papers), Infrastructure Maintenance and Monitoring (5 papers), Hand Gesture Recognition Systems (3 papers), Hydraulic and Pneumatic Systems (3 papers), Multimodal Machine Learning Applications (2 papers), Electrical Contact Performance and Analysis (2 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (129 citations), Media Technology (101 citations), Civil and Structural Engineering (212 citations), Computer Vision and Pattern Recognition (123 citations) and Mechanical Engineering (194 citations). Dehua Wei has collaborated with scholars based in China. Frequent co-authors include Xiukun Wei, Yujie Li, Limin Jia, Yuxin Liu, Ziming Yang, Limin Jia, Ji Yang, Qingfeng Tang, Wenqiang Zhang and Qi Chen. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems, Applied Sciences, Sensors 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.