Junfa Liu
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
Papers in
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- Human Pose and Action Recognition 7
- Context-Aware Activity Recognition Systems 6
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- Indoor and Outdoor Localization Technologies 16
- Co-authors
- Yiqiang Chen (34 shared papers)Zhongtang Zhao (4 shared papers)Xinlong Jiang (10 shared papers)Matthew S. Francis (6 shared papers)Petra J. Edqvist (3 shared papers)Zhiqi Shen (3 shared papers)Yang Gu (5 shared papers)Mingjie Liu (2 shared papers)
In The Last Decade
Junfa Liu
54 papers receiving 977 citations
Peers
Comparison fields: 5 of 108
- Endocrinology 96
- Computer Vision and Pattern Recognition 338
- Artificial Intelligence 360
- Signal Processing 97
- Human-Computer Interaction 37
Countries citing papers authored by Junfa Liu
This map shows the geographic impact of Junfa 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 Junfa Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfa Liu more than expected).
Fields of papers citing papers by Junfa Liu
This network shows the impact of papers produced by Junfa 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 Junfa Liu. The network helps show where Junfa Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfa 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 111 | |
| 2 | 2021 | 69 | |
| 3 | 2008 | 69 | |
| 4 | 2011 | 68 | |
| 5 | 2015 | 68 | |
| 6 | 2007 | 45 | |
| 7 | 2013 | 43 | |
| 8 | 2007 | 42 | |
| 9 | 2015 | 36 | |
| 10 | 2014 | 32 | |
| 11 | 2006 | 31 | |
| 12 | 2011 | 28 | |
| 13 | 2012 | 27 | |
| 14 | 2006 | 27 | |
| 15 | 2021 | 22 | |
| 16 | 2009 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 2013 | 22 | |
| 19 | 2014 | 19 | |
| 20 | 2010 | 16 |
About Junfa Liu
Junfa Liu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering, having authored 55 papers that have together received 998 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (16 papers), Machine Learning and ELM (11 papers), Human Pose and Action Recognition (7 papers), Energy Efficient Wireless Sensor Networks (7 papers), Context-Aware Activity Recognition Systems (6 papers), Yersinia bacterium, plague, ectoparasites research (6 papers), Human Motion and Animation (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Endocrinology (96 citations), Computer Vision and Pattern Recognition (338 citations), Artificial Intelligence (360 citations), Signal Processing (97 citations) and Human-Computer Interaction (37 citations). Junfa Liu has collaborated with scholars based in China, Sweden and Singapore. Frequent co-authors include Yiqiang Chen, Zhongtang Zhao, Xinlong Jiang, Matthew S. Francis, Petra J. Edqvist, Zhiqi Shen, Yang Gu, Mingjie Liu, Yang Gu and Mingjie Liu. Their work appears in journals such as Neurocomputing, PLoS ONE, Infection and Immunity, Frontiers in Microbiology and Microbes and Infection.
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.