Ge Ren

803 citations
78 papers · 581 · h-index 14

Impact in

Papers in

Ge Ren

66 papers receiving 549 citations

Peers

Ge Ren
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 147
  • Atomic and Molecular Physics, and Optics 202
  • Aerospace Engineering 129
  • Instrumentation 17
  • Control and Systems Engineering 109
Replace Carolyn R. Mercer with:
Carolyn R. Mercer United States
Haojie Xia China
David A. Neal United States
Honghai Shen China
Ningfang Song China
Wen Jiang China
Li Yi Japan
Hang Jin China
Yijun Chen China
Liping Yan China
Ge Ren relative to Carolyn R. Mercer United States Carolyn R. Mercer's profile →
Citations per field
00.5×9.8×
Carolyn R. Mercer · 1×
Citations per year

Countries citing papers authored by Ge Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ge Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201636
3 202133
4 201832
5 201829
6 201728
7 201928
8 201824
9 202021
10 201721
11 201917
12 201517
13 201916
14 201513
15 201911
16 201711
17 202310
18 20179
19 20149
20 20178

About Ge Ren

Ge Ren is a scholar working on Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering and Aerospace Engineering, having authored 78 papers that have together received 581 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (26 papers), Optical measurement and interference techniques (14 papers), Optical Systems and Laser Technology (14 papers), Advanced optical system design (9 papers), Optical Coherence Tomography Applications (8 papers), Advanced X-ray Imaging Techniques (7 papers), Advanced Optical Sensing Technologies (7 papers) and Digital Holography and Microscopy (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Atomic and Molecular Physics, and Optics (202 citations), Aerospace Engineering (129 citations), Instrumentation (17 citations) and Control and Systems Engineering (109 citations). Ge Ren has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Yao Mao, Chao Deng, Haotong Ma, Zongliang Xie, Tao Tang, Bo Qi, Yongmei Huang, Wei Ren, Li Dong and Xiaochao Fan. Their work appears in journals such as IEEE photonics journal, Optics Express, Applied Optics, Optics and Lasers in Engineering and Optical Engineering.

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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