Min Liu
Impact in
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in
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- Advanced Graph Neural Networks 8
- Speech Recognition and Synthesis 8
- Semantic Web and Ontologies 8
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- Service-Oriented Architecture and Web Services 21
- Co-authors
- Weiming Shen (40 shared papers)Gaowei Xu (10 shared papers)Feng Zhang (11 shared papers)Dirk Söffker (1 shared paper)Yunlong Ma (17 shared papers)Junwei Yan (15 shared papers)Xifan Yao (1 shared paper)Bai Li (7 shared papers)
- Journals
- IEEE Access (4 papers)Computer Integrated Manufacturing Systems (4 papers)Sensors (4 papers)Expert Systems with Applications (3 papers)The International Journal of Advanced Manufacturing Technology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Min Liu
146 papers receiving 2.6k citations
Min Liu's Hit Papers
Peers
Comparison fields: 5 of 166
- Industrial and Manufacturing Engineering 250
- Computer Networks and Communications 490
- Cognitive Neuroscience 380
- Information Systems 430
- Artificial Intelligence 541
Countries citing papers authored by Min Liu
This map shows the geographic impact of Min 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 Min Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Liu more than expected).
Fields of papers citing papers by Min Liu
This network shows the impact of papers produced by Min 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 Min Liu. The network helps show where Min Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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
Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning Hit paper breakdown → | 2019 | 266 |
| 2 | 2019 | 179 | |
| 3 | 2013 | 140 | |
| 4 | 2010 | 135 | |
| 5 | 2019 | 126 | |
| 6 | 2016 | 114 | |
| 7 | 2016 | 87 | |
| 8 | 2019 | 85 | |
| 9 | 2016 | 82 | |
| 10 | 2013 | 67 | |
| 11 | 2015 | 66 | |
| 12 | 2011 | 65 | |
| 13 | 2015 | 55 | |
| 14 | 2017 | 55 | |
| 15 | 2009 | 54 | |
| 16 | 2014 | 48 | |
| 17 | 2024 | 46 | |
| 18 | 2012 | 41 | |
| 19 | 2011 | 31 | |
| 20 | 2022 | 31 |
About Min Liu
Min Liu is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 169 papers that have together received 2.8k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (21 papers), Advanced Graph Neural Networks (8 papers), Speech Recognition and Synthesis (8 papers), Semantic Web and Ontologies (8 papers), Machine Fault Diagnosis Techniques (7 papers), Complex Network Analysis Techniques (7 papers), Caching and Content Delivery (7 papers) and Reliability and Maintenance Optimization (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (250 citations), Computer Networks and Communications (490 citations), Cognitive Neuroscience (380 citations), Information Systems (430 citations) and Artificial Intelligence (541 citations). Min Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weiming Shen, Gaowei Xu, Feng Zhang, Dirk Söffker, Yunlong Ma, Junwei Yan, Xifan Yao, Bai Li, Jingwei Wang and Qing Liu. Their work appears in journals such as IEEE Access, Computer Integrated Manufacturing Systems, Sensors, Expert Systems with Applications and The International Journal of Advanced Manufacturing Technology.
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.