Ajin Meng
Impact in
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- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Handwritten Text Recognition Techniques
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- Vehicle License Plate Recognition
Papers in
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- Advanced Neural Network Applications 4
- Handwritten Text Recognition Techniques 1
- Advanced Image and Video Retrieval Techniques 1
- Video Surveillance and Tracking Methods 1
- Advanced Vision and Imaging 1
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- Vehicle License Plate Recognition 2
- Co-authors
- Zhenbo Xu (5 shared papers)Liusheng Huang (5 shared papers)Wei Yang (3 shared papers)Xiao Tan (1 shared paper)Wei Zhang (1 shared paper)Errui Ding (1 shared paper)Xiaoqing Ye (1 shared paper)Shilei Wen (1 shared paper)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
In The Last Decade
Ajin Meng
4 papers receiving 83 citations
Peers
Comparison fields: 5 of 25
- Computer Vision and Pattern Recognition 75
- Media Technology 17
- Aerospace Engineering 36
- Industrial and Manufacturing Engineering 9
- Geology 4
Countries citing papers authored by Ajin Meng
This map shows the geographic impact of Ajin Meng'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 Ajin Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajin Meng more than expected).
Fields of papers citing papers by Ajin Meng
This network shows the impact of papers produced by Ajin Meng. 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 Ajin Meng. The network helps show where Ajin Meng may publish in the future.
Co-authors
The 15 scholars most cited alongside Ajin Meng, 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 | 2020 | 55 | |
| 2 | 2021 | 12 | |
| 3 | 2018 | 11 | |
| 4 | 2018 | 5 | |
| 5 | 2018 | 0 |
About Ajin Meng
Ajin Meng is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications, Sociology and Political Science and Artificial Intelligence, having authored 5 papers that have together received 83 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Vehicle License Plate Recognition (2 papers), Robotics and Sensor-Based Localization (1 paper), Handwritten Text Recognition Techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Smart Parking Systems Research (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (75 citations), Media Technology (17 citations), Aerospace Engineering (36 citations), Industrial and Manufacturing Engineering (9 citations) and Geology (4 citations). Ajin Meng has collaborated with scholars based in China and Hungary. Frequent co-authors include Zhenbo Xu, Liusheng Huang, Wei Yang, Xiao Tan, Wei Zhang, Errui Ding, Xiaoqing Ye, Shilei Wen, Wei Yang and Zhi Chen. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.