Nan Ma
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- Video Surveillance and Tracking Methods 7
- Human Pose and Action Recognition 5
- Advanced Neural Network Applications 4
- Transportation top 10%
- Transportation Planning and Optimization 5
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- Autonomous Vehicle Technology and Safety 6
- Building and Construction top 10%
- Traffic Prediction and Management Techniques 5
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- Gait Recognition and Analysis 5
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- Hand Gesture Recognition Systems 4
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Nan Ma
47 papers receiving 377 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 109
- Transportation 29
- Automotive Engineering 51
- Building and Construction 45
- Signal Processing 29
Countries citing papers authored by Nan Ma
This map shows the geographic impact of Nan 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 Nan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Ma more than expected).
Fields of papers citing papers by Nan Ma
This network shows the impact of papers produced by Nan 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 Nan Ma. The network helps show where Nan Ma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 16 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 0 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 60 | |
| 15 | Studies on Anatomical Structure and Chemical Composition in Prickles of Rosa hybrida | 2012 | 9 |
| 16 | An effective over-sampling method for imbalanced data sets classification | 2011 | 5 |
| 17 | 2010 | 4 | |
| 18 | Data Acquisition and Processing of the Virtual Reality System for Chinese Ancient Architecture | 2008 | 1 |
| 19 | Effect of temperature on composition of extracellular polymeric substances from activated sludge | 2007 | 1 |
| 20 | Research on Safety Forecast for Construction Project Based on Rough Sets and Artificial Nerve Network with Particle Swarm Optimization | 2007 | 3 |
About Nan Ma
Nan Ma is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Transportation, having authored 57 papers that have together received 391 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Autonomous Vehicle Technology and Safety (6 papers), Traffic Prediction and Management Techniques (5 papers), Gait Recognition and Analysis (5 papers), Transportation Planning and Optimization (5 papers), Human Pose and Action Recognition (5 papers), Advanced Neural Network Applications (4 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (109 citations), Transportation (29 citations) and Automotive Engineering (51 citations). Nan Ma has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yue Gao, Xibin Zhao, Zizhao Zhang, Jiaguang Sun, Yubo Zhang, Heyuan Shi, Yun Zhai, Ronghua Zhang, Yifan Feng and Hong Bao.
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.