Zemin Liu
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- Complex Network Analysis Techniques 4
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 6
- Neural Networks and Applications 4
- Rehabilitation top 10%
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- Speech and Audio Processing 4
- Blind Source Separation Techniques 4
- Direction-of-Arrival Estimation Techniques 4
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- Muscle activation and electromyography studies 4
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- Robotic Path Planning Algorithms 4
- Co-authors
- Yuan FangJoseph R. TestaTrung‐Kien NguyenVincent W. ZhengJia WangKevin Chen–Chuan ChangMichele CarboneSteven C. H. Hoi
- Journals
- Genes Chromosomes and Cancer (2 papers)Journal of Multimedia (2 papers)IEEE Transactions on Automation Science and Engineering (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zemin Liu
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 148
- Pulmonary and Respiratory Medicine 309
- Statistical and Nonlinear Physics 115
- Artificial Intelligence 261
- Rehabilitation 40
Countries citing papers authored by Zemin Liu
This map shows the geographic impact of Zemin 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 Zemin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zemin Liu more than expected).
Fields of papers citing papers by Zemin Liu
This network shows the impact of papers produced by Zemin 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 Zemin Liu. The network helps show where Zemin Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zemin 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 | 2025 | 2 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 45 | |
| 13 | 2021 | 71 | |
| 14 | 2018 | 23 | |
| 15 | 2011 | 50 | |
| 16 | 2009 | 1 | |
| 17 | 2003 | 2 | |
| 18 | 2003 | 5 | |
| 19 | 1997 | 89 | |
| 20 | 1994 | 76 |
About Zemin Liu
Zemin Liu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Rehabilitation and Statistical and Nonlinear Physics, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (6 papers), Speech and Audio Processing (4 papers), Blind Source Separation Techniques (4 papers), Direction-of-Arrival Estimation Techniques (4 papers), Muscle activation and electromyography studies (4 papers), Complex Network Analysis Techniques (4 papers), Robotic Path Planning Algorithms (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Cancer Research (148 citations), Pulmonary and Respiratory Medicine (309 citations), Statistical and Nonlinear Physics (115 citations), Artificial Intelligence (261 citations) and Rehabilitation (40 citations). Zemin Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yuan Fang, Joseph R. Testa, Trung‐Kien Nguyen, Vincent W. Zheng, Jia Wang, Kevin Chen–Chuan Chang, Michele Carbone, Steven C. H. Hoi, Madelyn Feder and Takahiro Taguchi. Their work appears in journals such as Genes Chromosomes and Cancer, Journal of Multimedia, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Cognitive and Developmental Systems and IEEE Transactions on Human-Machine 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.