Xiaodan Deng
Impact in
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- Pulsars and Gravitational Waves Research
- Radio Astronomy Observations and Technology
- Gamma-ray bursts and supernovae
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- AI in cancer detection
- Machine Learning and ELM
- Domain Adaptation and Few-Shot Learning
Papers in
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- Image Processing and 3D Reconstruction 2
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- AI in cancer detection 2
- Machine Learning and ELM 2
- Co-authors
- Qian Yin (5 shared papers)Ping Guo (5 shared papers)Pei Wang (1 shared paper)Xin Zheng (1 shared paper)Xuhong Yu (1 shared paper)Zhichen Pan (1 shared paper)Chenchen Miao (1 shared paper)Zhijie Liu (1 shared paper)
- Journals
- Computers & Graphics (2 papers)Food Bioscience (1 paper)Acta Neurobiologiae Experimentalis (1 paper)Science China Physics Mechanics and Astronomy (1 paper)Complex & Intelligent Systems (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xiaodan Deng
11 papers receiving 74 citations
Peers
Comparison fields: 5 of 39
- Astronomy and Astrophysics 27
- Artificial Intelligence 28
- Computer Vision and Pattern Recognition 14
- Oncology 12
- Aerospace Engineering 9
Countries citing papers authored by Xiaodan Deng
This map shows the geographic impact of Xiaodan Deng'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 Xiaodan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Deng more than expected).
Fields of papers citing papers by Xiaodan Deng
This network shows the impact of papers produced by Xiaodan Deng. 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 Xiaodan Deng. The network helps show where Xiaodan Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan Deng, 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 | 2019 | 26 | |
| 2 | 2019 | 12 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 8 | |
| 5 | 2024 | 8 | |
| 6 | 2021 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2022 | 0 |
About Xiaodan Deng
Xiaodan Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Astronomy and Astrophysics and Oncology, having authored 13 papers that have together received 77 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (2 papers), Pulsars and Gravitational Waves Research (2 papers), Image Processing and 3D Reconstruction (2 papers), AI in cancer detection (2 papers), Forensic Anthropology and Bioarchaeology Studies (2 papers), Machine Learning and ELM (2 papers), Radio Astronomy Observations and Technology (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Astronomy and Astrophysics (27 citations), Artificial Intelligence (28 citations), Computer Vision and Pattern Recognition (14 citations), Oncology (12 citations) and Aerospace Engineering (9 citations). Xiaodan Deng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qian Yin, Ping Guo, Pei Wang, Xin Zheng, Xuhong Yu, Zhichen Pan, Chenchen Miao, Zhijie Liu, Weiwei Zhu and Xiaoyao Xie. Their work appears in journals such as Computers & Graphics, Food Bioscience, Acta Neurobiologiae Experimentalis, Science China Physics Mechanics and Astronomy and Complex & Intelligent 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.