Panli Li

661 citations
32 papers · 496 · h-index 13

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
    • Radiopharmaceutical Chemistry and Applications
    • MRI in cancer diagnosis
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Panli Li

30 papers receiving 491 citations

Peers

Panli Li
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 203
  • Hepatology 45
  • Biomaterials 70
  • Biomedical Engineering 162
  • Cancer Research 50
Replace Dennis Doleschel with:
Dennis Doleschel Germany
Fang Nie China
Dengke Teng China
Felix Y. Yap United States
Xinming Zhao China
Danke Su China
S. Mohammadtaghi United Kingdom
Guanqiao Jin China
Xiaona Jin China
Floris J. Voskuil Netherlands
Panli Li relative to Dennis Doleschel Germany Dennis Doleschel's profile →
Citations per field
00.5×1.5×2.3×
Dennis Doleschel · 1×
Citations per year

Countries citing papers authored by Panli Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Panli Li Line = papers co-authored together Panli Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 201757
3 201645
4 202142
5 202136
6 201834
7 202133
8 201629
9 202219
10 201616
11 201715
12 202313
13 201613
14 201911
15 20229
16 20178
17 20206
18 20185
19 20254
20 20124

About Panli Li

Panli Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Oncology and Surgery, having authored 32 papers that have together received 496 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Nanoplatforms for cancer theranostics (5 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (203 citations), Hepatology (45 citations), Biomaterials (70 citations), Biomedical Engineering (162 citations) and Cancer Research (50 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, Jianjun Liu, Wei Lü, Xiaoguang Sun and Xiuying Wang. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, BioMed Research International, Nuclear Medicine Communications, Annals of Nuclear Medicine and Acta Pharmaceutica Sinica B.

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.

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