Panli Li
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
- MRI in cancer diagnosis
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Medical Imaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 8
- Radiopharmaceutical Chemistry and Applications 4
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- Medical Imaging and Pathology Studies 2
- Co-authors
- Shaoli Song (28 shared papers)Qiufang Liu (20 shared papers)Gang Huang (13 shared papers)Dagan Feng (5 shared papers)Michael Fulham (3 shared papers)Chen Wang (4 shared papers)Wei Lü (3 shared papers)Jianjun Liu (2 shared papers)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (3 papers)BioMed Research International (2 papers)Chinese Journal of Chemistry (1 paper)Acta Pharmaceutica Sinica B (1 paper)Cancer Imaging (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Panli Li
29 papers receiving 470 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 233
- Hepatology 48
- Biomaterials 72
- Cancer Research 72
- Biomedical Engineering 170
Countries citing papers authored by Panli Li
This map shows the geographic impact of Panli Li'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 Panli Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panli Li more than expected).
Fields of papers citing papers by Panli Li
This network shows the impact of papers produced by Panli Li. 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 Panli Li. The network helps show where Panli Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Panli Li, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2017 | 57 | |
| 3 | 2016 | 45 | |
| 4 | 2021 | 40 | |
| 5 | 2018 | 34 | |
| 6 | 2021 | 33 | |
| 7 | 2021 | 29 | |
| 8 | 2016 | 27 | |
| 9 | 2022 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2016 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2012 | 4 | |
| 20 | 2024 | 3 |
About Panli Li
Panli Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Oncology and Cancer Research, having authored 31 papers that have together received 474 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Nanoplatforms for cancer theranostics (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Medical Imaging and Pathology Studies (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (233 citations), Hepatology (48 citations), Biomaterials (72 citations), Cancer Research (72 citations) and Biomedical Engineering (170 citations). Panli Li has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shaoli Song, Qiufang Liu, Gang Huang, Dagan Feng, Michael Fulham, Chen Wang, Wei Lü, Jianjun Liu, Xiaoguang Sun and Chong‐Rui Xu. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, BioMed Research International, Chinese Journal of Chemistry, Acta Pharmaceutica Sinica B and Cancer 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.