Long Ma

1.0k citations
81 papers · 799 · h-index 11

Impact in

Papers in

Long Ma

70 papers receiving 761 citations

Peers

Long Ma
Comparison fields: 5 of 80
  • Polymers and Plastics 294
  • Biomedical Engineering 514
  • Cognitive Neuroscience 132
  • Electronic, Optical and Magnetic Materials 109
  • Surfaces, Coatings and Films 35
Replace Minsong Wei with:
Minsong Wei China
Chao Tang China
Minwoo Nam South Korea
Yu Xiaoguang China
Charles R. Tolle United States
Chenglong Hao China
Zhenkun Li China
Jae‐Ho Lee South Korea
Jianxiang Wang China
Zhichao Zhang China
Long Ma relative to Minsong Wei China Minsong Wei's profile →
Citations per field
00.5×3.9×
Minsong Wei · 1×
Citations per year

Countries citing papers authored by Long Ma

Since Specialization
Citations

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

Fields of papers citing papers by Long Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016220
2 2018145
3 201690
4 202219
5 202215
6 202015
7 202014
8 201913
9 201612
10 202211
11 200910
12 201210
13 201810
14 20219
15 20119
16 20119
17 20219
18 20218
19 20098
20 20178

About Long Ma

Long Ma is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Biomedical Engineering and Computational Mechanics, having authored 81 papers that have together received 799 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (21 papers), Advanced Measurement and Metrology Techniques (14 papers), Advanced Fiber Optic Sensors (9 papers), Advancements in Photolithography Techniques (8 papers), Photonic and Optical Devices (8 papers), Surface Roughness and Optical Measurements (7 papers), Advanced Vision and Imaging (5 papers) and Electron and X-Ray Spectroscopy Techniques (5 papers). The work is most often cited by research in Polymers and Plastics (294 citations), Biomedical Engineering (514 citations), Cognitive Neuroscience (132 citations), Electronic, Optical and Magnetic Materials (109 citations) and Surfaces, Coatings and Films (35 citations). Long Ma has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shuwen Chen, Jie Yang, Zhong Lin Wang, Xia Cao, M. Willander, Ning Wang, Hui Zhu, Wenbo Li, Bo Wang and Zisheng Xu. Their work appears in journals such as Optics and Lasers in Engineering, Measurement, Applied Optics, Optics Communications and Optics Express.

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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