Yanhui Ding
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Web Data Mining and Analysis 9
- Co-authors
- Xiaodi Li (3 shared papers)Kun Zhao (10 shared papers)Hong Liu (2 shared papers)Yuanjie Zheng (11 shared papers)Yong Liu (7 shared papers)Dongxue Peng (1 shared paper)R. Rakkiyappan (1 shared paper)Qingzhong Li (10 shared papers)
- Journals
- IEEE Access (3 papers)Biochemical and Biophysical Research Communications (3 papers)Applied Mathematics and Computation (2 papers)Future Internet (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yanhui Ding
66 papers receiving 796 citations
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 216
- Cancer Research 93
- Statistical and Nonlinear Physics 73
- Computer Networks and Communications 126
- Neurology 44
Countries citing papers authored by Yanhui Ding
This map shows the geographic impact of Yanhui 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 Yanhui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanhui Ding more than expected).
Fields of papers citing papers by Yanhui Ding
This network shows the impact of papers produced by Yanhui 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 Yanhui Ding. The network helps show where Yanhui Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanhui 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2021 | 48 | |
| 3 | 2021 | 47 | |
| 4 | 2017 | 45 | |
| 5 | 2017 | 42 | |
| 6 | 2021 | 40 | |
| 7 | 2017 | 38 | |
| 8 | 2022 | 33 | |
| 9 | 2019 | 29 | |
| 10 | 2017 | 26 | |
| 11 | 2013 | 26 | |
| 12 | 2013 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2016 | 21 | |
| 15 | 2019 | 17 | |
| 16 | 2015 | 15 | |
| 17 | 2018 | 14 | |
| 18 | OPTIMAL SWITCHING TIME CONTROL OF DISCRETE-TIME SWITCHED AUTONOMOUS SYSTEMS | 2015 | 14 |
| 19 | 2023 | 13 | |
| 20 | 2020 | 12 |
About Yanhui Ding
Yanhui Ding is a scholar working on Artificial Intelligence, Information Systems, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Molecular Biology, having authored 69 papers that have together received 820 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Web Data Mining and Analysis (9 papers), Functional Brain Connectivity Studies (5 papers), MRI in cancer diagnosis (4 papers), Online Learning and Analytics (4 papers), Dementia and Cognitive Impairment Research (4 papers), Cancer-related molecular mechanisms research (4 papers) and Neural Networks Stability and Synchronization (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (216 citations), Cancer Research (93 citations), Statistical and Nonlinear Physics (73 citations), Computer Networks and Communications (126 citations) and Neurology (44 citations). Yanhui Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaodi Li, Kun Zhao, Hong Liu, Yuanjie Zheng, Yong Liu, Dongxue Peng, R. Rakkiyappan, Qingzhong Li, Hui‐Ju Wen and Xiaofeng Li. Their work appears in journals such as IEEE Access, Biochemical and Biophysical Research Communications, Applied Mathematics and Computation, Future Internet and Expert Systems with Applications.
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.