Huaiqiang Sun
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- Advanced Neuroimaging Techniques and Applications 23
- Advanced MRI Techniques and Applications 16
- Radiomics and Machine Learning in Medical Imaging 14
- Medical Imaging Techniques and Applications 8
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 21
- Health Informatics top 5%
- Biological Psychiatry top 10%
- Psychiatry and Mental health top 5%
- Epilepsy research and treatment 5
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- Glioma Diagnosis and Treatment 11
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- Advanced X-ray and CT Imaging 7
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Huaiqiang Sun
69 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 1.1k
- Cognitive Neuroscience 654
- Health Informatics 30
- Biological Psychiatry 52
- Psychiatry and Mental health 235
Countries citing papers authored by Huaiqiang Sun
This map shows the geographic impact of Huaiqiang Sun'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 Huaiqiang Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huaiqiang Sun more than expected).
Fields of papers citing papers by Huaiqiang Sun
This network shows the impact of papers produced by Huaiqiang Sun. 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 Huaiqiang Sun. The network helps show where Huaiqiang Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huaiqiang Sun, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 30 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 3 | |
| 14 | 2019 | 53 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 19 | |
| 17 | Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT. | 2017 | 3 |
| 18 | 2017 | 89 | |
| 19 | 2017 | 21 | |
| 20 | 2016 | 59 |
About Huaiqiang Sun
Huaiqiang Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics and Cognitive Neuroscience, having authored 73 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (23 papers), Functional Brain Connectivity Studies (21 papers), Advanced MRI Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (11 papers), Medical Imaging Techniques and Applications (8 papers), Advanced X-ray and CT Imaging (7 papers) and Epilepsy research and treatment (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cognitive Neuroscience (654 citations) and Health Informatics (30 citations). Huaiqiang Sun has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qiyong Gong, Yi Zhang, Jiliu Zhou, Hu Chen, Su Lui, John A. Sweeney, Xiaoqi Huang, Peixi Liao, Yuan Xiao and Wenjing Zhang. Their work appears in journals such as PLoS ONE, American Journal of Psychiatry and Radiology.
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.