Lei Mou

3.2k citations
67 papers · 2.1k · 1 hit paper · h-index 24

Impact in

    • Advanced Sensor and Energy Harvesting Materials
    • Biosensors and Analytical Detection
    • Microfluidic and Capillary Electrophoresis Applications
    • 3D Printing in Biomedical Research

Papers in

Lei Mou

60 papers receiving 2.1k citations

Hit Papers

CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging 2020 · 240 citations
2400+2+4Years since publication50100150200

Peers

Lei Mou
Comparison fields: 5 of 135
  • Biomedical Engineering 1.2k
  • Ophthalmology 158
  • Polymers and Plastics 230
  • Radiology, Nuclear Medicine and Imaging 345
  • Biomaterials 177
Replace Mohamed Elsherif with:
Mohamed Elsherif United Arab Emirates
David Myung United States
Sunghoon Cho South Korea
Lirong Wang China
Fengfu Li China
Xing Liang United States
Rosa Villa Spain
Muthukumaran Packirisamy Canada
Qianni Wu China
Hao Chang China
Lei Mou relative to Mohamed Elsherif United Arab Emirates Mohamed Elsherif's profile →
Citations per field
00.5×1.5×2.1×
Mohamed Elsherif · 1×
Citations per year

Countries citing papers authored by Lei Mou

Since Specialization
Citations

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

Fields of papers citing papers by Lei Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging
Hit paper breakdown →
2020240
2 2020240
3 2018139
4 2018127
5 2020123
6 2017118
7 2019108
8 201796
9 201995
10 202081
11 201863
12 202255
13 202148
14 202245
15 202044
16 202140
17 201937
18 201935
19 202031
20 201929

About Lei Mou

Lei Mou is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (12 papers), Retinal Imaging and Analysis (9 papers), Glaucoma and retinal disorders (8 papers), Conducting polymers and applications (8 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers), Biosensors and Analytical Detection (7 papers), Medical Image Segmentation Techniques (6 papers) and Microfluidic and Bio-sensing Technologies (6 papers). The work is most often cited by research in Biomedical Engineering (1.2k citations), Ophthalmology (158 citations), Polymers and Plastics (230 citations), Radiology, Nuclear Medicine and Imaging (345 citations) and Biomaterials (177 citations). Lei Mou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xingyu Jiang, Jiangjiang Zhang, Lixue Tang, Ruihua Dong, Yitian Zhao, Yong Xia, Jiang Liu, Li Chen, Jun Cheng and Yong Liu. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, Lab on a Chip, Analytical Chemistry and ACS Nano.

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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