Xintao Ding
Impact in
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- Advanced Neural Network Applications
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- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Video Surveillance and Tracking Methods 6
- Advanced Neural Network Applications 3
- Advanced Vision and Imaging 3
- Face and Expression Recognition 2
- Co-authors
- Yonglong Luo (13 shared papers)Biao Jie (10 shared papers)Weixin Bian (7 shared papers)Liping Sun (4 shared papers)Qingde Li (6 shared papers)Yongqiang Cheng (6 shared papers)Xiaoyao Zheng (3 shared papers)Wen Zhou (5 shared papers)
- Journals
- IEEE Access (3 papers)Optik (3 papers)Applied Intelligence (2 papers)Information Sciences (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xintao Ding
30 papers receiving 328 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 70
- Cognitive Neuroscience 59
- Information Systems 65
- Signal Processing 31
- Artificial Intelligence 81
Countries citing papers authored by Xintao Ding
This map shows the geographic impact of Xintao 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 Xintao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xintao Ding more than expected).
Fields of papers citing papers by Xintao Ding
This network shows the impact of papers produced by Xintao 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 Xintao Ding. The network helps show where Xintao Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Xintao 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 54 | |
| 2 | 2020 | 34 | |
| 3 | 2020 | 29 | |
| 4 | 2019 | 27 | |
| 5 | 2016 | 25 | |
| 6 | 2014 | 24 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2018 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2017 | 11 | |
| 13 | 2022 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2014 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2016 | 3 | |
| 20 | 2021 | 3 |
About Xintao Ding
Xintao Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Signal Processing and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Neural Network Applications (3 papers), Advanced Vision and Imaging (3 papers), Functional Brain Connectivity Studies (3 papers), Neural dynamics and brain function (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (70 citations), Cognitive Neuroscience (59 citations), Information Systems (65 citations), Signal Processing (31 citations) and Artificial Intelligence (81 citations). Xintao Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yonglong Luo, Biao Jie, Weixin Bian, Liping Sun, Qingde Li, Yongqiang Cheng, Xiaoyao Zheng, Wen Zhou, Ji Zhang and Qingying Yu. Their work appears in journals such as IEEE Access, Optik, Applied Intelligence, Information Sciences and Scientific Reports.
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.