Minnan Luo
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
-
- Advanced Image and Video Retrieval Techniques 16
- Multimodal Machine Learning Applications 13
- Face and Expression Recognition 12
- Human Pose and Action Recognition 11
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- Advanced Graph Neural Networks 17
- Domain Adaptation and Few-Shot Learning 15
- Co-authors
- Qinghua ZhengXiaojun ChangAlexander G. HauptmannYi YangZhen PengFeiping NieLiqiang NieJundong Li
- Journals
- Neurocomputing (6 papers)Information Sciences (4 papers)IEEE Transactions on Image Processing (4 papers)Pattern Recognition (4 papers)IEEE Transactions on Fuzzy Systems (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Minnan Luo
87 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 999
- Artificial Intelligence 1.5k
- Statistical and Nonlinear Physics 234
- Information Systems 390
- Signal Processing 179
Countries citing papers authored by Minnan Luo
This map shows the geographic impact of Minnan Luo'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 Minnan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minnan Luo more than expected).
Fields of papers citing papers by Minnan Luo
This network shows the impact of papers produced by Minnan Luo. 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 Minnan Luo. The network helps show where Minnan Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Minnan Luo, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 31 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 14 | |
| 16 | 2023 | 0 | |
| 17 | 2022 | 99 | |
| 18 | 2019 | 30 | |
| 19 | 2018 | 37 | |
| 20 | A polynomial algorithm for testing diagnosability of stochastic discrete event systems | 2011 | 2 |
About Minnan Luo
Minnan Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, General Social Sciences, Information Systems and Statistical and Nonlinear Physics, having authored 96 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (17 papers), Misinformation and Its Impacts (17 papers), Advanced Image and Video Retrieval Techniques (16 papers), Domain Adaptation and Few-Shot Learning (15 papers), Spam and Phishing Detection (13 papers), Multimodal Machine Learning Applications (13 papers), Face and Expression Recognition (12 papers) and Human Pose and Action Recognition (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (999 citations), Artificial Intelligence (1.5k citations), Statistical and Nonlinear Physics (234 citations), Information Systems (390 citations) and Signal Processing (179 citations). Minnan Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qinghua Zheng, Xiaojun Chang, Alexander G. Hauptmann, Yi Yang, Zhen Peng, Feiping Nie, Liqiang Nie, Jundong Li, Lingling Zhang and Wenbing Huang. Their work appears in journals such as Neurocomputing, Information Sciences, IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Fuzzy Systems.
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.