Lei Li

8.7k citations
217 papers · 4.9k indexed · 3 hit papers · h-index 33

Impact in

Papers in

Lei Li

199 papers receiving 4.8k citations

Hit Papers

Segment anything model for medical images? 2023 · 215 citations
2152014202620182022250500750

Peers

Lei Li
Comparison fields: 5 of 187
  • Neurology 373
  • Sensory Systems 158
  • Radiology, Nuclear Medicine and Imaging 748
  • Cardiology and Cardiovascular Medicine 690
  • Health Informatics 37
Replace Fei Chen with:
Fei Chen China
Yong Hu China
H. Tanaka Japan
Quaid Morris Canada
Wei Liu China
Ji‐Won Lee South Korea
Jingyu Liu United States
Jong‐Hoon Kim South Korea
Pei Wang China
Xiao Xiao China
Lei Li relative to Fei Chen China Fei Chen's profile →
Citations per field
00.5×3.4×
Fei Chen · 1×
Citations per year

Countries citing papers authored by Lei Li

Since Specialization
Citations

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

Fields of papers citing papers by Lei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20242
5 20242
6 20241
7 20234
8 20236
9 20237
10
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images
Hit paper breakdown →
2022168
11 202014
12 201861
13 2014117
14
[The clinical analysis of atrial fibrillation of 1 310 in patients in Urumqi of China].
20142
15 20138
16 20134
17 201042
18
[Novel MYBPC3 mutations in Chinese patients with hypertrophic cardiomyopathy].
20091
19
[Novel mutations of potassium channel KCNQ1 S145L and KCNH2 Y475C genes in Chinese pedigrees of long QT syndrome].
20068
20
[Analysis of MYH7, MYBPC3 and TNNT2 gene mutations in 10 Chinese pedigrees with familial hypertrophic cardiomyopathy and the correlation between genotype and phenotype].
20061

About Lei Li

Lei Li is a scholar working on Cardiology and Cardiovascular Medicine, Neurology, Radiology, Nuclear Medicine and Imaging, Sensory Systems and Hepatology, having authored 217 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), Advanced MRI Techniques and Applications (15 papers), Cardiac Imaging and Diagnostics (14 papers), Atrial Fibrillation Management and Outcomes (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Cardiac Fibrosis and Remodeling (13 papers), Medical Image Segmentation Techniques (10 papers) and Cardiomyopathy and Myosin Studies (10 papers). The work is most often cited by research in Neurology (373 citations), Sensory Systems (158 citations), Radiology, Nuclear Medicine and Imaging (748 citations), Cardiology and Cardiovascular Medicine (690 citations) and Health Informatics (37 citations). Lei Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Danfeng Huang, Qin Zhang, Jianxun Zhang, Gongping Chen, Yu Dai, Xiahai Zhuang, Qiang Zhao, Zhi‐Pan Liu, Tao Yi and Mengxiao Yu. Their work appears in journals such as Medical Image Analysis, Scientific Reports, Sensors, Journal of X-Ray Science and Technology and Medical Physics.

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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