Hanting Yang
Impact in
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety
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- Advanced Optical Sensing Technologies
Papers in
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- Image Enhancement Techniques 5
- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 1
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- Remote Sensing and LiDAR Applications 2
- Air Quality Monitoring and Forecasting 1
- Co-authors
- Alexander Carballo (5 shared papers)Yuxiao Zhang (5 shared papers)Kazuya Takeda (2 shared papers)Kazuya Takeda (6 shared papers)Shilin Chen (2 shared papers)Zhennan Wang (1 shared paper)Zhaoyu Liu (1 shared paper)Sanyin Zhang (1 shared paper)
In The Last Decade
Hanting Yang
9 papers receiving 260 citations
Hanting Yang's Hit Papers
Peers
Comparison fields: 5 of 74
- Automotive Engineering 82
- Instrumentation 22
- Computer Vision and Pattern Recognition 87
- Environmental Engineering 46
- Geology 15
Countries citing papers authored by Hanting Yang
This map shows the geographic impact of Hanting Yang'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 Hanting Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanting Yang more than expected).
Fields of papers citing papers by Hanting Yang
This network shows the impact of papers produced by Hanting Yang. 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 Hanting Yang. The network helps show where Hanting Yang may publish in the future.
Co-authors
The 23 scholars most cited alongside Hanting Yang, 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 | Perception and sensing for autonomous vehicles under adverse weather conditions: A survey Hit paper breakdown → | 2023 | 240 |
| 2 | 2024 | 11 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 0 |
About Hanting Yang
Hanting Yang is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering, Molecular Biology, Computer Graphics and Computer-Aided Design and Instrumentation, having authored 10 papers that have together received 273 indexed citations. Recurring topics across this work include Image Enhancement Techniques (5 papers), Advanced Neural Network Applications (4 papers), Remote Sensing and LiDAR Applications (2 papers), Plant biochemistry and biosynthesis (2 papers), Computer Graphics and Visualization Techniques (2 papers), Video Surveillance and Tracking Methods (1 paper), 3D Shape Modeling and Analysis (1 paper) and Air Quality Monitoring and Forecasting (1 paper). The work is most often cited by research in Automotive Engineering (82 citations), Instrumentation (22 citations), Computer Vision and Pattern Recognition (87 citations), Environmental Engineering (46 citations) and Geology (15 citations). Hanting Yang has collaborated with scholars based in Japan and China. Frequent co-authors include Alexander Carballo, Yuxiao Zhang, Kazuya Takeda, Kazuya Takeda, Shilin Chen, Zhennan Wang, Zhaoyu Liu, Sanyin Zhang, Gang Chen and Chi Song. Their work appears in journals such as Sensors, Remote Sensing, Frontiers in Plant Science, ISPRS Journal of Photogrammetry and Remote Sensing and Horticulture Research.
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.