Ming-Feng Lu

561 citations
63 papers · 343 indexed · h-index 11

Impact in

Papers in

Ming-Feng Lu

52 papers receiving 327 citations

Peers

Ming-Feng Lu
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 106
  • Media Technology 32
  • Atomic and Molecular Physics, and Optics 113
  • Electrical and Electronic Engineering 155
  • Applied Mathematics 22
Replace David A. Neal with:
David A. Neal United States
Chunyang Wang China
Barmak Honarvar Shakibaei Asli United Kingdom
Guodong Liu China
Yi Shen China
Huaijiang Yang China
Honghai Shen China
Ge Ren China
Yafei Lü China
Prasanna Rangarajan United States
Ming-Feng Lu relative to David A. Neal United States David A. Neal's profile →
Citations per field
00.5×5.5×
David A. Neal · 1×
Citations per year

Countries citing papers authored by Ming-Feng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Feng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Feng Lu. 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 Ming-Feng Lu. The network helps show where Ming-Feng Lu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20242
5 20234
6 20236
7 20234
8 20233
9 20239
10 20226
11 20192
12 20161
13 201526
14 201315
15 201217
16 201018
17 20070
18
A high contrast ratio optical switch with holographic optical switching elements
20055
19
Benes networks with high contrast ratio holographic optical switching elements
20051
20 20048

About Ming-Feng Lu

Ming-Feng Lu is a scholar working on Computer Vision and Pattern Recognition, Structural Biology, Media Technology, Applied Mathematics and Atomic and Molecular Physics, and Optics, having authored 63 papers that have together received 343 indexed citations. Recurring topics across this work include Photonic and Optical Devices (17 papers), Optical measurement and interference techniques (16 papers), Image and Signal Denoising Methods (8 papers), Photonic Crystals and Applications (7 papers), Advanced Measurement and Metrology Techniques (6 papers), Mathematical Analysis and Transform Methods (6 papers), Image Processing Techniques and Applications (6 papers) and Advanced Optical Network Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (106 citations), Media Technology (32 citations), Atomic and Molecular Physics, and Optics (113 citations), Electrical and Electronic Engineering (155 citations) and Applied Mathematics (22 citations). Ming-Feng Lu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yang-Tung Huang, Feng Zhang, Ran Tao, Guoqiang Ni, Jianhua Chen, Li Zhou, Gang Wang, Shifeng Ding, Xu Zhou and Zhangjun Wu. Their work appears in journals such as Applied Optics, Optical Engineering, Journal of Lightwave Technology, Optics and Lasers in Engineering and IEEE Transactions on Instrumentation and Measurement.

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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