Ming-Feng Lu

540 citations
71 papers · 389 · h-index 11

Impact in

Papers in

Ming-Feng Lu

56 papers receiving 375 citations

Peers

Ming-Feng Lu
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 83
  • Atomic and Molecular Physics, and Optics 77
  • Electrical and Electronic Engineering 109
  • Applied Mathematics 27
  • Ocean Engineering 23
Replace Chunyang Wang with:
Chunyang Wang China
Nguyễn Trung Thành Vietnam
Nicholas J. Kirsch United States
Xiyang Zhi China
Dov Wulich Israel
Dan Xiang China
Hang Jin China
Pak Hung Chan United Kingdom
Rui Yan Du China
Yechao Bai China
Ming-Feng Lu relative to Chunyang Wang China Chunyang Wang's profile →
Citations per field
00.5×2×3×3.8×
Chunyang Wang · 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-authors

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

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199536
2 201528
3 202328
4 202320
5 201619
6 201018
7 201218
8 201316
9 200714
10 201213
11 202311
12 200810
13 201910
14 202310
15 20199
16 20048
17 20158
18 20238
19 20096
20 20206

About Ming-Feng Lu

Ming-Feng Lu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Applied Mathematics, Atomic and Molecular Physics, and Optics and Media Technology, having authored 71 papers that have together received 389 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (20 papers), Advanced Optical Network Technologies (7 papers), Semiconductor Lasers and Optical Devices (7 papers), Interconnection Networks and Systems (6 papers), Photonic Crystals and Applications (6 papers), Mathematical Analysis and Transform Methods (6 papers), Photonic and Optical Devices (6 papers) and Machine Fault Diagnosis Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (83 citations), Atomic and Molecular Physics, and Optics (77 citations), Electrical and Electronic Engineering (109 citations), Applied Mathematics (27 citations) and Ocean Engineering (23 citations). Ming-Feng Lu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yang-Tung Huang, Ran Tao, Feng Zhang, Guoqiang Ni, Gang Wang, B.J. Lee, M. J. Jou, Zhangjun Wu, Xu Zhou and Li Zhou. Their work appears in journals such as Applied Optics, Optical Engineering, Measurement Science and Technology, Journal of Lightwave Technology and Optics and Lasers in 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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