Long Ma
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
Papers in
-
- Advanced Fiber Optic Sensors 11
- Photonic and Optical Devices 9
- Advancements in Photolithography Techniques 8
-
- Optical measurement and interference techniques 21
- Co-authors
- Shuwen Chen (3 shared papers)Zhong Lin Wang (2 shared papers)Xia Cao (2 shared papers)M. Willander (2 shared papers)Ning Wang (2 shared papers)Hui Zhu (1 shared paper)Nan Wu (1 shared paper)Jun Zhou (1 shared paper)
- Journals
- Optics and Lasers in Engineering (6 papers)Measurement (3 papers)Optics Communications (3 papers)Applied Optics (3 papers)Advanced Energy Materials (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Long Ma
75 papers receiving 822 citations
Peers
Comparison fields: 5 of 81
- Polymers and Plastics 296
- Biomedical Engineering 530
- Cognitive Neuroscience 133
- Electronic, Optical and Magnetic Materials 111
- Computer Vision and Pattern Recognition 110
Countries citing papers authored by Long Ma
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
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.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 222 | |
| 2 | 2018 | 149 | |
| 3 | 2016 | 92 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2019 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2018 | 11 | |
| 13 | 2009 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2012 | 10 | |
| 16 | 2011 | 10 | |
| 17 | 2011 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2021 | 9 |
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 86 papers that have together received 854 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (21 papers), Advanced Measurement and Metrology Techniques (15 papers), Advanced Fiber Optic Sensors (11 papers), Photonic and Optical Devices (9 papers), Advancements in Photolithography Techniques (8 papers), Surface Roughness and Optical Measurements (8 papers), Electron and X-Ray Spectroscopy Techniques (5 papers) and Arctic and Russian Policy Studies (5 papers). The work is most often cited by research in Polymers and Plastics (296 citations), Biomedical Engineering (530 citations), Cognitive Neuroscience (133 citations), Electronic, Optical and Magnetic Materials (111 citations) and Computer Vision and Pattern Recognition (110 citations). Long Ma has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shuwen Chen, Zhong Lin Wang, Xia Cao, M. Willander, Ning Wang, Hui Zhu, Nan Wu, Jun Zhou, Shizhe Lin and Bo Wang. Their work appears in journals such as Optics and Lasers in Engineering, Measurement, Optics Communications, Applied Optics and Advanced Energy Materials.
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.