Pan Liang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiation Dose and Imaging
- Molecular Medicine top 10%
Papers in
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- Gastric Cancer Management and Outcomes 22
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- Radiomics and Machine Learning in Medical Imaging 28
- MRI in cancer diagnosis 7
- Radiation Dose and Imaging 7
- Co-authors
- Jianbo Gao (6 shared papers)Jianbo Gao (2 shared papers)Sijin Yang (13 shared papers)Wei Ren (12 shared papers)Jie Chen (4 shared papers)Wei Xing (5 shared papers)Jing Li (3 shared papers)Jiule Ding (2 shared papers)
- Journals
- Frontiers in Oncology (11 papers)Medicine (7 papers)European Journal of Radiology (5 papers)Cancer Imaging (4 papers)Insights into Imaging (3 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Pan Liang
113 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Radiology, Nuclear Medicine and Imaging 526
- Molecular Medicine 64
- Pulmonary and Respiratory Medicine 421
- Gastroenterology 68
- Cancer Research 147
Countries citing papers authored by Pan Liang
This map shows the geographic impact of Pan 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 Pan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Liang more than expected).
Fields of papers citing papers by Pan Liang
This network shows the impact of papers produced by Pan 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 Pan Liang. The network helps show where Pan Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2018 | 79 | |
| 3 | 2016 | 76 | |
| 4 | 2017 | 71 | |
| 5 | 2018 | 63 | |
| 6 | 2021 | 60 | |
| 7 | 2017 | 45 | |
| 8 | 2018 | 44 | |
| 9 | 2017 | 38 | |
| 10 | 2021 | 36 | |
| 11 | 2015 | 35 | |
| 12 | 2019 | 31 | |
| 13 | 2021 | 29 | |
| 14 | 2023 | 24 | |
| 15 | 2018 | 23 | |
| 16 | 2015 | 21 | |
| 17 | 2022 | 21 | |
| 18 | 2015 | 21 | |
| 19 | 2022 | 20 | |
| 20 | 2022 | 19 |
About Pan Liang
Pan Liang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 124 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Gastric Cancer Management and Outcomes (22 papers), Advanced X-ray and CT Imaging (12 papers), Gastrointestinal Tumor Research and Treatment (10 papers), Coronary Interventions and Diagnostics (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers), MRI in cancer diagnosis (7 papers) and Radiation Dose and Imaging (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (526 citations), Molecular Medicine (64 citations), Pulmonary and Respiratory Medicine (421 citations), Gastroenterology (68 citations) and Cancer Research (147 citations). Pan Liang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Jianbo Gao, Jianbo Gao, Sijin Yang, Wei Ren, Jie Chen, Wei Xing, Jing Li, Jiule Ding, Zhaoyu Xing and Jianbo Gao. Their work appears in journals such as Frontiers in Oncology, Medicine, European Journal of Radiology, Cancer Imaging and Insights into Imaging.
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.