Xing Di
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Face recognition and analysis
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Multimodal Machine Learning Applications 5
- Human Pose and Action Recognition 5
- Face recognition and analysis 4
- Video Surveillance and Tracking Methods 3
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- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Vishal M. Patel (4 shared papers)Zichuan Xu (5 shared papers)Pan Zhou (4 shared papers)Yu Cheng (2 shared papers)Xiaoye Qu (3 shared papers)Shuowen Hu (2 shared papers)Yanjiao Chen (1 shared paper)Xueluan Gong (1 shared paper)
- Journals
- Radiation Measurements (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Medical Physics (1 paper)Journal of Applied Clinical Medical Physics (1 paper)IEEE Network (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xing Di
19 papers receiving 230 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 176
- Signal Processing 32
- Artificial Intelligence 86
- Cultural Studies 8
- Media Technology 5
Countries citing papers authored by Xing Di
This map shows the geographic impact of Xing Di'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 Xing Di with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Di more than expected).
Fields of papers citing papers by Xing Di
This network shows the impact of papers produced by Xing Di. 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 Xing Di. The network helps show where Xing Di may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing Di, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 44 | |
| 2 | 2022 | 36 | |
| 3 | 2021 | 35 | |
| 4 | 2020 | 25 | |
| 5 | 2021 | 16 | |
| 6 | 2016 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 7 | |
| 11 | 2023 | 4 | |
| 12 | 2017 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2025 | 0 |
About Xing Di
Xing Di is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Radiation, Artificial Intelligence and Signal Processing, having authored 21 papers that have together received 234 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (5 papers), Advanced Radiotherapy Techniques (4 papers), Face recognition and analysis (4 papers), Video Surveillance and Tracking Methods (3 papers), Radiation Detection and Scintillator Technologies (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (176 citations), Signal Processing (32 citations), Artificial Intelligence (86 citations), Cultural Studies (8 citations) and Media Technology (5 citations). Xing Di has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Vishal M. Patel, Zichuan Xu, Pan Zhou, Yu Cheng, Xiaoye Qu, Shuowen Hu, Yanjiao Chen, Xueluan Gong, Qian Wang and Kai Zou. Their work appears in journals such as Radiation Measurements, International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Journal of Applied Clinical Medical Physics and IEEE Network.
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.