Ming-Feng Lu

614 citations
70 papers · 375 · h-index 11

Impact in

Papers in

Ming-Feng Lu

55 papers receiving 362 citations

Peers

Ming-Feng Lu
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 114
  • Atomic and Molecular Physics, and Optics 114
  • Media Technology 32
  • Electrical and Electronic Engineering 157
  • Applied Mathematics 23
Replace David A. Neal with:
David A. Neal United States
Chunyang Wang China
Barmak Honarvar Shakibaei Asli United Kingdom
Yi Shen China
Dingkang Wang United States
Lijun Jin China
Huaijiang Yang China
Ge Ren China
John Macdonald United Kingdom
Yafei Lü China
Ming-Feng Lu relative to David A. Neal United States David A. Neal's profile →
Citations per field
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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-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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199536
2 201528
3 202324
4 201218
5 201018
6 202317
7 201617
8 201316
9 200714
10 201213
11 202312
12 201910
13 200810
14 20048
15 20238
16 20198
17 20157
18 20236
19 20206
20 20226

About Ming-Feng Lu

Ming-Feng Lu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Mechanical Engineering, having authored 70 papers that have together received 375 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (17 papers), Photonic and Optical Devices (17 papers), Image and Signal Denoising Methods (9 papers), Photonic Crystals and Applications (7 papers), Image Processing Techniques and Applications (6 papers), Advanced Measurement and Metrology Techniques (6 papers), Mathematical Analysis and Transform Methods (6 papers) and Advanced Optical Network Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Atomic and Molecular Physics, and Optics (114 citations), Media Technology (32 citations), Electrical and Electronic Engineering (157 citations) and Applied Mathematics (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, Jianhua Chen, Li Zhou, Shifeng Ding, Gang Wang, Xu Zhou and Zhangjun Wu. Their work appears in journals such as Applied Optics, Optical Engineering, IEEE Transactions on Instrumentation and Measurement, Optics and Lasers in Engineering and Journal of Lightwave Technology.

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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