Gen Li

725 citations
64 papers · 446 · h-index 12

Impact in

  • Oral Surgery top 10%
    • Dental Radiography and Imaging
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Gen Li

57 papers receiving 441 citations

Peers

Gen Li
Comparison fields: 5 of 98
  • Oral Surgery 25
  • Neurology 52
  • Radiology, Nuclear Medicine and Imaging 68
  • Biomedical Engineering 101
  • Biophysics 12
Replace Peter Latta with:
Peter Latta Canada
Hsu‐Hsia Peng Taiwan
Runtang Wang United States
Soojung Kim South Korea
Yufei Wu China
Hongmei Luan China
Shinichi Yoshida Japan
Jeffrey J. Mason Sweden
Djuro Koruga Serbia
Licheng Jiang China
Gen Li relative to Peter Latta Canada Peter Latta's profile →
Citations per field
00.5×10×17×
Peter Latta · 1×
Citations per year

Countries citing papers authored by Gen Li

Since Specialization
Citations

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

Fields of papers citing papers by Gen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202131
2 201526
3 202325
4 201923
5 201722
6 199621
7 202420
8 202515
9 201713
10 202413
11 202212
12 201911
13 202211
14 202310
15 201910
16 20239
17 20249
18 20199
19 20198
20 20207

About Gen Li

Gen Li is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Neurology and Pediatrics, Perinatology and Child Health, having authored 64 papers that have together received 446 indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (11 papers), Electrical and Bioimpedance Tomography (11 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Advanced MRI Techniques and Applications (8 papers), Non-Invasive Vital Sign Monitoring (6 papers), Wireless Body Area Networks (4 papers), Neonatal and fetal brain pathology (4 papers) and Photoacoustic and Ultrasonic Imaging (4 papers). The work is most often cited by research in Oral Surgery (25 citations), Neurology (52 citations), Radiology, Nuclear Medicine and Imaging (68 citations), Biomedical Engineering (101 citations) and Biophysics (12 citations). Gen Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jian Sun, Mingxin Qin, Wei Zhuang, Shijie Cao, Yajing Guo, Ke Ma, Feng Qiu, Wang Li, Hua Feng and Jiajie Xu. Their work appears in journals such as PeerJ, IEEE Access, BioMedical Engineering OnLine, IEEE Transactions on Instrumentation and Measurement and Scientific Reports.

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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