Jing Wan
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Ultrasound Imaging and Elastography
Papers in
-
- Advanced Neuroimaging Techniques and Applications 6
- Ultrasound Imaging and Elastography 4
- Co-authors
- Aaron CarassJerry L. PrinceSusan M. ResnickYang AnMadhav ThambisettyAndrew J. SaykinLi ShenShannon L. Risacher
- Journals
- Journal of Ultrasound in Medicine (2 papers)Ultrasound in Medicine & Biology (2 papers)Asian Journal of Andrology (1 paper)Advances in Clinical and Experimental Medicine (1 paper)NeuroImage (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jing Wan
30 papers receiving 682 citations
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 228
- Radiology, Nuclear Medicine and Imaging 224
- Psychiatry and Mental health 140
- Neurology 66
- Computational Mathematics 3
Countries citing papers authored by Jing Wan
This map shows the geographic impact of Jing Wan'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 Jing Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Wan more than expected).
Fields of papers citing papers by Jing Wan
This network shows the impact of papers produced by Jing Wan. 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 Jing Wan. The network helps show where Jing Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Wan, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 21 | |
| 11 | 2018 | 8 | |
| 12 | 2017 | 23 | |
| 13 | 2014 | 35 | |
| 14 | 2011 | 24 | |
| 15 | 2011 | 49 | |
| 16 | 2010 | 24 | |
| 17 | 2010 | 251 | |
| 18 | 2008 | 3 | |
| 19 | 2008 | 13 | |
| 20 | An Iris Image Quality Assessment Method Based on Laplacian of Gaussian Operation | 2007 | 23 |
About Jing Wan
Jing Wan is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine, Cognitive Neuroscience and Psychiatry and Mental health, having authored 31 papers that have together received 692 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Ultrasound Imaging and Elastography (4 papers), Dementia and Cognitive Impairment Research (4 papers), Ultrasound and Hyperthermia Applications (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Machine Learning in Bioinformatics (2 papers) and Ultrasound in Clinical Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (228 citations), Radiology, Nuclear Medicine and Imaging (224 citations), Psychiatry and Mental health (140 citations), Neurology (66 citations) and Computational Mathematics (3 citations). Jing Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Aaron Carass, Jerry L. Prince, Susan M. Resnick, Yang An, Madhav Thambisetty, Andrew J. Saykin, Li Shen, Shannon L. Risacher, Jingwen Yan and Kwangsik Nho. Their work appears in journals such as Journal of Ultrasound in Medicine, Ultrasound in Medicine & Biology, Asian Journal of Andrology, Advances in Clinical and Experimental Medicine and NeuroImage.
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.