Dianning He
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 5
- Advanced MRI Techniques and Applications 5
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- Non-Invasive Vital Sign Monitoring 7
- Co-authors
- Shouliang Qi (10 shared papers)Xiaobing Fan (12 shared papers)Minglun Li (1 shared paper)Chen Li (1 shared paper)Gregory S. Karczmar (8 shared papers)Aytekin Oto (7 shared papers)Aritrick Chatterjee (7 shared papers)Tatjana Antic (5 shared papers)
- Journals
- IEEE Access (2 papers)Physics in Medicine and Biology (2 papers)Investigative Radiology (1 paper)Bio-Medical Materials and Engineering (1 paper)Tomography (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dianning He
32 papers receiving 361 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 100
- Radiology, Nuclear Medicine and Imaging 97
- Pulmonary and Respiratory Medicine 90
- Human-Computer Interaction 12
- Neurology 16
Countries citing papers authored by Dianning He
This map shows the geographic impact of Dianning He'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 Dianning He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianning He more than expected).
Fields of papers citing papers by Dianning He
This network shows the impact of papers produced by Dianning He. 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 Dianning He. The network helps show where Dianning He may publish in the future.
Co-authors
The 25 scholars most cited alongside Dianning He, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 59 | |
| 2 | 2019 | 46 | |
| 3 | 2017 | 32 | |
| 4 | 2020 | 31 | |
| 5 | 2019 | 30 | |
| 6 | 2017 | 24 | |
| 7 | 2019 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2024 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2023 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2018 | 3 |
About Dianning He
Dianning He is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 33 papers that have together received 366 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Advanced MRI Techniques and Applications (5 papers), Heart Rate Variability and Autonomic Control (4 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (100 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Pulmonary and Respiratory Medicine (90 citations), Human-Computer Interaction (12 citations) and Neurology (16 citations). Dianning He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shouliang Qi, Xiaobing Fan, Minglun Li, Chen Li, Gregory S. Karczmar, Aytekin Oto, Aritrick Chatterjee, Tatjana Antic, Ambereen Yousuf and Lisheng Xu. Their work appears in journals such as IEEE Access, Physics in Medicine and Biology, Investigative Radiology, Bio-Medical Materials and Engineering and Tomography.
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.