Lan Ma
Impact in
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- Face and Expression Recognition
- Human Pose and Action Recognition
- Image Enhancement Techniques
Papers in
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- Advanced Memory and Neural Computing 5
- Advancements in Semiconductor Devices and Circuit Design 4
- Semiconductor materials and devices 4
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- Advanced Image Processing Techniques 4
- Image Enhancement Techniques 3
- Co-authors
- Thierry Blu (3 shared papers)William Yang Wang (3 shared papers)James W. Minett (1 shared paper)Feiping Nie (1 shared paper)Quanxue Gao (1 shared paper)Xinbo Gao (1 shared paper)Jiajun Shen (3 shared papers)Dong Ming (3 shared papers)
- Journals
- Nanotechnology (3 papers)IEEE Journal of the Electron Devices Society (2 papers)Building and Environment (2 papers)PLoS ONE (2 papers)IEEE Electron Device Letters (1 paper)
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Lan Ma
36 papers receiving 447 citations
Peers
Comparison fields: 5 of 98
- Computational Mathematics 6
- Computer Vision and Pattern Recognition 163
- Cognitive Neuroscience 151
- Computer Graphics and Computer-Aided Design 17
- Signal Processing 51
Countries citing papers authored by Lan Ma
This map shows the geographic impact of Lan 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 Lan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Ma more than expected).
Fields of papers citing papers by Lan Ma
This network shows the impact of papers produced by Lan 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 Lan Ma. The network helps show where Lan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 78 | |
| 2 | 2017 | 71 | |
| 3 | 2014 | 37 | |
| 4 | 2021 | 35 | |
| 5 | 2022 | 32 | |
| 6 | 2013 | 30 | |
| 7 | 2020 | 23 | |
| 8 | 2020 | 19 | |
| 9 | 2023 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2012 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 4 |
About Lan Ma
Lan Ma is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 458 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Advanced Memory and Neural Computing (5 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neural Engineering (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Semiconductor materials and devices (4 papers), Advanced Image Processing Techniques (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computational Mathematics (6 citations), Computer Vision and Pattern Recognition (163 citations), Cognitive Neuroscience (151 citations), Computer Graphics and Computer-Aided Design (17 citations) and Signal Processing (51 citations). Lan Ma has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Thierry Blu, William Yang Wang, James W. Minett, Feiping Nie, Quanxue Gao, Xinbo Gao, Jiajun Shen, Dong Ming, Lixin Zhang and Hongzhi Qi. Their work appears in journals such as Nanotechnology, IEEE Journal of the Electron Devices Society, Building and Environment, PLoS ONE and IEEE Electron Device Letters.
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.