Yalong Ma
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
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- Video Surveillance and Tracking Methods 7
- Advanced Neural Network Applications 7
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- Autonomous Vehicle Technology and Safety 6
- Transportation and Mobility Innovations 1
- Co-authors
- Xinkai Wu (12 shared papers)Guizhen Yu (6 shared papers)Yunpeng Wang (4 shared papers)Yongzheng Xu (4 shared papers)Ming Li (1 shared paper)Ziying Yao (3 shared papers)Zhangyu Wang (2 shared papers)Yunpeng Wang (1 shared paper)
In The Last Decade
Yalong Ma
12 papers receiving 409 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 284
- Media Technology 56
- Automotive Engineering 73
- Aerospace Engineering 118
- Safety, Risk, Reliability and Quality 28
Countries citing papers authored by Yalong Ma
This map shows the geographic impact of Yalong Ma'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 Yalong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yalong Ma more than expected).
Fields of papers citing papers by Yalong Ma
This network shows the impact of papers produced by Yalong Ma. 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 Yalong Ma. The network helps show where Yalong Ma may publish in the future.
Co-authors
The 8 scholars most cited alongside Yalong Ma, 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 | 2017 | 131 | |
| 2 | 2016 | 95 | |
| 3 | 2016 | 81 | |
| 4 | 2016 | 65 | |
| 5 | 2020 | 24 | |
| 6 | 2019 | 9 | |
| 7 | 2017 | 6 | |
| 8 | Improved Real Time Lane Detection Using Advanced Lane Extraction Method | 2017 | 3 |
| 9 | 2008 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 |
About Yalong Ma
Yalong Ma is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Media Technology, Environmental Engineering and Aerospace Engineering, having authored 13 papers that have together received 422 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Advanced Neural Network Applications (7 papers), Autonomous Vehicle Technology and Safety (6 papers), Vehicle License Plate Recognition (3 papers), Remote Sensing and LiDAR Applications (2 papers), Advanced Image Fusion Techniques (1 paper), Transportation and Mobility Innovations (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (284 citations), Media Technology (56 citations), Automotive Engineering (73 citations), Aerospace Engineering (118 citations) and Safety, Risk, Reliability and Quality (28 citations). Yalong Ma has collaborated with scholars based in China and Norway. Frequent co-authors include Xinkai Wu, Guizhen Yu, Yunpeng Wang, Yongzheng Xu, Ming Li, Ziying Yao, Zhangyu Wang and Yunpeng Wang. Their work appears in journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters, Journal of Advanced Transportation and SAE International journal of passenger cars. Electronic and electrical systems.
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.