Jilan Xu
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- AI in cancer detection
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
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- Multimodal Machine Learning Applications 9
- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 5
- Human Pose and Action Recognition 3
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- AI in cancer detection 6
- Co-authors
- Yuejie Zhang (16 shared papers)Xin Zhao (4 shared papers)Yanchun Zhang (2 shared papers)Rui Feng (11 shared papers)Xiaowei Xu (1 shared paper)Yu Qiao (3 shared papers)Yi Wang (2 shared papers)Yizhuo Li (1 shared paper)
In The Last Decade
Jilan Xu
25 papers receiving 359 citations
Jilan Xu's Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 157
- Artificial Intelligence 124
- Radiology, Nuclear Medicine and Imaging 72
- Health Informatics 4
- Neurology 16
Countries citing papers authored by Jilan Xu
This map shows the geographic impact of Jilan Xu'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 Jilan Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jilan Xu more than expected).
Fields of papers citing papers by Jilan Xu
This network shows the impact of papers produced by Jilan Xu. 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 Jilan Xu. The network helps show where Jilan Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jilan Xu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MVBench: A Comprehensive Multi-modal Video Understanding Benchmark Hit paper breakdown → | 2024 | 83 |
| 2 | 2023 | 70 | |
| 3 | 2023 | 41 | |
| 4 | 2022 | 31 | |
| 5 | 2022 | 22 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 12 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Jilan Xu
Jilan Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics and Ophthalmology, having authored 29 papers that have together received 367 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Advanced Neural Network Applications (6 papers), AI in cancer detection (6 papers), COVID-19 diagnosis using AI (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Retinal Imaging and Analysis (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Artificial Intelligence (124 citations), Radiology, Nuclear Medicine and Imaging (72 citations), Health Informatics (4 citations) and Neurology (16 citations). Jilan Xu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yuejie Zhang, Xin Zhao, Yanchun Zhang, Rui Feng, Xiaowei Xu, Yu Qiao, Yi Wang, Yizhuo Li, Yali Wang and Guo Chen. Their work appears in journals such as International Journal of Computer Vision, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Geoscience Frontiers, Frontiers in Environmental Science and Health Information Science and 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.