Ye Han
Impact in
-
- Industrial Vision Systems and Defect Detection
- Civil and Structural Engineering top 10%
- Infrastructure Maintenance and Monitoring
Papers in
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- Infrastructure Maintenance and Monitoring 4
- Co-authors
- Zhigang Liu (5 shared papers)Zhiwei Han (2 shared papers)Junping Zhong (2 shared papers)Wenxuan Zhang (1 shared paper)Guinan Zhang (2 shared papers)Dah-Jye Lee (2 shared papers)Wenqiang Liu (2 shared papers)Changjiang Li (1 shared paper)
- Journals
- Neurocomputing (1 paper)Optik (1 paper)Expert Systems with Applications (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)Signal Processing Image Communication (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ye Han
10 papers receiving 325 citations
Peers
Comparison fields: 5 of 51
- Industrial and Manufacturing Engineering 114
- Civil and Structural Engineering 119
- Computer Vision and Pattern Recognition 104
- Media Technology 42
- Mechanical Engineering 159
Countries citing papers authored by Ye Han
This map shows the geographic impact of Ye Han'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 Ye Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Han more than expected).
Fields of papers citing papers by Ye Han
This network shows the impact of papers produced by Ye Han. 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 Ye Han. The network helps show where Ye Han may publish in the future.
Co-authors
The 21 scholars most cited alongside Ye Han, 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 | 2018 | 138 | |
| 2 | 2019 | 46 | |
| 3 | 2017 | 36 | |
| 4 | 2018 | 31 | |
| 5 | 2018 | 27 | |
| 6 | 2016 | 26 | |
| 7 | 2015 | 19 | |
| 8 | Insulator Fault Detection Based on Curvelet Coefficients Morphology and Zonal Energy Method | 2013 | 3 |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 |
About Ye Han
Ye Han is a scholar working on Civil and Structural Engineering, Signal Processing, Media Technology, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 329 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (4 papers), Vehicle License Plate Recognition (3 papers), Railway Engineering and Dynamics (3 papers), Electrical Contact Performance and Analysis (2 papers), Image and Object Detection Techniques (2 papers), Advanced Measurement and Detection Methods (2 papers), Forensic and Genetic Research (1 paper) and Railway Systems and Energy Efficiency (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (114 citations), Civil and Structural Engineering (119 citations), Computer Vision and Pattern Recognition (104 citations), Media Technology (42 citations) and Mechanical Engineering (159 citations). Ye Han has collaborated with scholars based in China and United States. Frequent co-authors include Zhigang Liu, Zhiwei Han, Junping Zhong, Wenxuan Zhang, Guinan Zhang, Dah-Jye Lee, Wenqiang Liu, Wenxuan Zhang, Changjiang Li and Fei He. Their work appears in journals such as Neurocomputing, Optik, Expert Systems with Applications, IEEE Transactions on Instrumentation and Measurement and Signal Processing Image Communication.
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.