Kai Ding
Impact in
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- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Image Processing and 3D Reconstruction
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 14
- Image Processing and 3D Reconstruction 8
- Image Retrieval and Classification Techniques 7
- Advanced Image and Video Retrieval Techniques 4
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- Natural Language Processing Techniques 6
- Co-authors
- Lianwen Jin (14 shared papers)Xue Gao (3 shared papers)Yan Gao (1 shared paper)Gang Liu (2 shared papers)Zhibin Huang (2 shared papers)Zhiyi Zhang (1 shared paper)Klaus Janschek (4 shared papers)Andrey Morozov (5 shared papers)
In The Last Decade
Kai Ding
26 papers receiving 259 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 227
- Media Technology 60
- Human-Computer Interaction 33
- Software 15
- Artificial Intelligence 75
Countries citing papers authored by Kai Ding
This map shows the geographic impact of Kai Ding'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 Kai Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ding more than expected).
Fields of papers citing papers by Kai Ding
This network shows the impact of papers produced by Kai Ding. 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 Kai Ding. The network helps show where Kai Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 54 | |
| 2 | 2009 | 37 | |
| 3 | 2010 | 19 | |
| 4 | 2007 | 19 | |
| 5 | 2022 | 17 | |
| 6 | 2017 | 16 | |
| 7 | 2009 | 15 | |
| 8 | 2009 | 14 | |
| 9 | 2016 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2013 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2010 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2015 | 2 | |
| 20 | Industry 4.0: Emerging challenges for dependability analysis | 2019 | 2 |
About Kai Ding
Kai Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Software, Safety, Risk, Reliability and Quality and Human-Computer Interaction, having authored 27 papers that have together received 277 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (14 papers), Image Processing and 3D Reconstruction (8 papers), Image Retrieval and Classification Techniques (7 papers), Natural Language Processing Techniques (6 papers), Software Reliability and Analysis Research (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Safety Systems Engineering in Autonomy (4 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Media Technology (60 citations), Human-Computer Interaction (33 citations), Software (15 citations) and Artificial Intelligence (75 citations). Kai Ding has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Lianwen Jin, Xue Gao, Yan Gao, Gang Liu, Zhibin Huang, Zhiyi Zhang, Klaus Janschek, Andrey Morozov, Ronggui Wang and Juan Yang. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), The Visual Computer, IEEE Access, Pattern Recognition and Applied Intelligence.
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.