Lei Geng

2.9k citations
195 papers · 2.1k · h-index 23

Impact in

Papers in

Lei Geng

175 papers receiving 2.1k citations

Peers

Lei Geng
Comparison fields: 5 of 158
  • Computer Vision and Pattern Recognition 439
  • Industrial and Manufacturing Engineering 187
  • Radiology, Nuclear Medicine and Imaging 269
  • Experimental and Cognitive Psychology 158
  • Media Technology 102
Replace Jianhua Zhang with:
Jianhua Zhang China
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Aimin Hao China
Sharon Chen Taiwan
Lining Sun China
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Hongzan Sun China
Min Young Kim South Korea
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Lei Geng relative to Jianhua Zhang China Jianhua Zhang's profile →
Citations per field
00.5×3.0×
Jianhua Zhang · 1×
Citations per year

Countries citing papers authored by Lei Geng

Since Specialization
Citations

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

Fields of papers citing papers by Lei Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015150
2 2016124
3 2017105
4 201698
5 202086
6 202374
7 202162
8 201956
9 201955
10 202151
11 201943
12 200540
13 201836
14 202235
15 202332
16 201730
17 201930
18 201729
19 201828
20 201726

About Lei Geng

Lei Geng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Biomedical Engineering, having authored 195 papers that have together received 2.1k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (24 papers), Industrial Vision Systems and Defect Detection (24 papers), Optical measurement and interference techniques (18 papers), Image Processing Techniques and Applications (13 papers), Spectroscopy and Chemometric Analyses (11 papers), Advanced Neural Network Applications (10 papers), Advanced Measurement and Detection Methods (9 papers) and Digital Imaging for Blood Diseases (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (439 citations), Industrial and Manufacturing Engineering (187 citations), Radiology, Nuclear Medicine and Imaging (269 citations), Experimental and Cognitive Psychology (158 citations) and Media Technology (102 citations). Lei Geng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhitao Xiao, Fang Zhang, Yanbei Liu, Jun Wu, Jun Tong, Peng Gao, Xin Xiao, Yulin Yuan, Jianxi Lu and Gufeng Wang. Their work appears in journals such as Journal of the Textile Institute, Applied Sciences, Multimedia Tools and Applications, Symmetry and IEEE Access.

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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