Zonghui Liang
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
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- Neural dynamics and brain function
- Visual perception and processing mechanisms
Papers in
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- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 4
- Advanced MRI Techniques and Applications 2
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- Muscle Physiology and Disorders 3
- Co-authors
- Tao Shou (3 shared papers)Sijie Hao (3 shared papers)Xiaoyuan Feng (3 shared papers)Deliang Fu (1 shared paper)Jin Xu (1 shared paper)Quanxing Ni (1 shared paper)Jinwei Qiang (1 shared paper)Na Lu (2 shared papers)
In The Last Decade
Zonghui Liang
32 papers receiving 378 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 122
- Cognitive Neuroscience 68
- Cellular and Molecular Neuroscience 63
- Geriatrics and Gerontology 11
- Neurology 23
Countries citing papers authored by Zonghui Liang
This map shows the geographic impact of Zonghui Liang'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 Zonghui Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zonghui Liang more than expected).
Fields of papers citing papers by Zonghui Liang
This network shows the impact of papers produced by Zonghui Liang. 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 Zonghui Liang. The network helps show where Zonghui Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zonghui Liang, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 50 | |
| 2 | 2010 | 39 | |
| 3 | 2020 | 33 | |
| 4 | 2007 | 27 | |
| 5 | 2020 | 26 | |
| 6 | 2013 | 24 | |
| 7 | 2006 | 21 | |
| 8 | 2008 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 14 | |
| 12 | 2011 | 12 | |
| 13 | 2019 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2004 | 6 | |
| 20 | 2022 | 5 |
About Zonghui Liang
Zonghui Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 385 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Pancreatic and Hepatic Oncology Research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Visual perception and processing mechanisms (3 papers), Muscle Physiology and Disorders (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (122 citations), Cognitive Neuroscience (68 citations), Cellular and Molecular Neuroscience (63 citations), Geriatrics and Gerontology (11 citations) and Neurology (23 citations). Zonghui Liang has collaborated with scholars based in China, Germany and Finland. Frequent co-authors include Tao Shou, Sijie Hao, Xiaoyuan Feng, Deliang Fu, Jin Xu, Quanxing Ni, Jinwei Qiang, Na Lu, Qiyong Guo and Chen Jin. Their work appears in journals such as Neuroscience, Clinical Radiology, Academic Radiology, Annals of Translational Medicine and IEEE Transactions on Geoscience and Remote Sensing.
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.