Meichen Liu
Impact in
-
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
Papers in
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- Video Surveillance and Tracking Methods 5
- Face recognition and analysis 4
- Human Pose and Action Recognition 3
- Face and Expression Recognition 2
- Co-authors
- Kejun WangXianglei XingChenhui WangRuihang JiShuzhi Sam GeJing ChenXinping YanZiqiang Huang
- Journals
- Applied Intelligence (3 papers)Knowledge-Based Systems (2 papers)Neural Computing and Applications (2 papers)Neurocomputing (1 paper)Food Chemistry (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Meichen Liu
27 papers receiving 247 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 123
- Signal Processing 33
- Experimental and Cognitive Psychology 39
- Computer Graphics and Computer-Aided Design 7
- Artificial Intelligence 59
Countries citing papers authored by Meichen Liu
This map shows the geographic impact of Meichen Liu'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 Meichen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meichen Liu more than expected).
Fields of papers citing papers by Meichen Liu
This network shows the impact of papers produced by Meichen Liu. 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 Meichen Liu. The network helps show where Meichen Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meichen Liu, 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 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 40 | |
| 17 | 2020 | 2 | |
| 18 | 2020 | 19 | |
| 19 | 2019 | 0 | |
| 20 | 2017 | 1 |
About Meichen Liu
Meichen Liu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Analytical Chemistry, Computer Networks and Communications and Artificial Intelligence, having authored 31 papers that have together received 256 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Face recognition and analysis (4 papers), Spectroscopy and Chemometric Analyses (3 papers), Distributed Control Multi-Agent Systems (3 papers), Human Pose and Action Recognition (3 papers), Network Security and Intrusion Detection (3 papers), Wireless Signal Modulation Classification (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (123 citations), Signal Processing (33 citations), Experimental and Cognitive Psychology (39 citations), Computer Graphics and Computer-Aided Design (7 citations) and Artificial Intelligence (59 citations). Meichen Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kejun Wang, Xianglei Xing, Chenhui Wang, Ruihang Ji, Shuzhi Sam Ge, Jing Chen, Xinping Yan, Ziqiang Huang, Tao Yang and Cong Zhao. Their work appears in journals such as Applied Intelligence, Knowledge-Based Systems, Neural Computing and Applications, Neurocomputing and Food Chemistry.
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.