Lan Li

1.5k citations
52 papers · 1.1k · h-index 16

Impact in

Papers in

Lan Li

49 papers receiving 1.0k citations

Peers

Lan Li
Comparison fields: 5 of 59
  • Radiology, Nuclear Medicine and Imaging 517
  • Health Informatics 28
  • Management Science and Operations Research 36
  • Biochemistry 8
  • Pathology and Forensic Medicine 33
Replace Yanyan Yu with:
Yanyan Yu China
Nicky H. G. M. Peters Netherlands
Dana H. Whaley United States
Stefano Trebeschi Netherlands
Belinda N. Curpen Canada
John Heine United States
Hongkun Yin China
Arjan W. Simonetti Netherlands
Ivan Jambor Finland
Chao You China
Lan Li relative to Yanyan Yu China Yanyan Yu's profile →
Citations per field
00.5×5×10×15×18×
Yanyan Yu · 1×
Citations per year

Countries citing papers authored by Lan Li

Since Specialization
Citations

This map shows the geographic impact of Lan 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 Lan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Li more than expected).

Fields of papers citing papers by Lan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan 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 Lan Li. The network helps show where Lan Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Lan 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 Lan Li Line = papers co-authored together Lan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010173
2 2015141
3 2015132
4 202368
5 200351
6 202146
7 202042
8 202342
9 202434
10 202133
11 202129
12 202028
13 202124
14 202118
15 202518
16 202417
17 202215
18 201914
19 202313
20 201610

About Lan Li

Lan Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Geriatrics and Gerontology, Biochemistry and Oncology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (9 papers), Advanced X-ray and CT Imaging (4 papers), Foreign Body Medical Cases (1 paper), Medical Image Segmentation Techniques (1 paper), Sulfur Compounds in Biology (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Cancer survivorship and care (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (517 citations), Health Informatics (28 citations), Management Science and Operations Research (36 citations), Biochemistry (8 citations) and Pathology and Forensic Medicine (33 citations). Lan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Maryellen Lissak Giger, Hui Li, Wentian Guo, Karen Drukker, Yuan Ji, Yitan Zhu, Sanaz A. Jansen, Gillian M. Newstead, Neha Bhooshan and Jiuquan Zhang. Their work appears in journals such as Radiology, Diagnostic and Interventional Imaging, Technology in Cancer Research & Treatment, Journal of Imaging Informatics in Medicine and Annals of Surgical Oncology.

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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