Junfa Liu
Impact in
- Artificial Intelligence top 2%
- Machine Learning and ELM
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Face recognition and analysis
Papers in
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- Context-Aware Activity Recognition Systems 8
- Face recognition and analysis 8
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- Indoor and Outdoor Localization Technologies 17
- Co-authors
- Yiqiang Chen (43 shared papers)Zhongtang Zhao (4 shared papers)Xinlong Jiang (11 shared papers)Yang Gu (6 shared papers)Zhiqi Shen (3 shared papers)Mingjie Liu (2 shared papers)Yang Gu (5 shared papers)Wen Gao (6 shared papers)
In The Last Decade
Junfa Liu
56 papers receiving 1.6k citations
Junfa Liu's Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 657
- Computer Vision and Pattern Recognition 426
- Computer Graphics and Computer-Aided Design 35
- Electrical and Electronic Engineering 339
- Control and Systems Engineering 97
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Extreme Learning Machines [Trends & Controversies] Hit paper breakdown → | 2013 | 646 |
| 2 | 2011 | 119 | |
| 3 | 2009 | 84 | |
| 4 | 2021 | 81 | |
| 5 | 2015 | 80 | |
| 6 | 2011 | 74 | |
| 7 | 2008 | 72 | |
| 8 | 2013 | 44 | |
| 9 | 2006 | 39 | |
| 10 | 2015 | 38 | |
| 11 | 2014 | 36 | |
| 12 | 2013 | 26 | |
| 13 | 2021 | 26 | |
| 14 | 2018 | 25 | |
| 15 | 2009 | 24 | |
| 16 | 2014 | 19 | |
| 17 | 2010 | 18 | |
| 18 | 2010 | 14 | |
| 19 | 2012 | 14 | |
| 20 | 2008 | 13 |
About Junfa Liu
Junfa Liu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computational Mechanics, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (17 papers), Context-Aware Activity Recognition Systems (8 papers), Face recognition and analysis (8 papers), 3D Shape Modeling and Analysis (7 papers), Machine Learning and ELM (6 papers), Human Motion and Animation (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Artificial Intelligence (657 citations), Computer Vision and Pattern Recognition (426 citations), Computer Graphics and Computer-Aided Design (35 citations), Electrical and Electronic Engineering (339 citations) and Control and Systems Engineering (97 citations). Junfa Liu has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yiqiang Chen, Zhongtang Zhao, Xinlong Jiang, Yang Gu, Zhiqi Shen, Mingjie Liu, Yang Gu, Wen Gao, Mingjie Liu and Juan Rojas. Their work appears in journals such as Neurocomputing, IEEE Intelligent Systems, Computer Graphics Forum, Neural Computing and Applications and Soft Computing.
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.