Linlin Liu
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Advanced Image Processing Techniques
Papers in
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- Generative Adversarial Networks and Image Synthesis 13
- Face recognition and analysis 6
- Human Pose and Action Recognition 3
- Advanced Image Processing Techniques 3
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- 3D Shape Modeling and Analysis 7
- Co-authors
- Haijun Zhang (14 shared papers)Yuzhu Ji (3 shared papers)Xiaofei Xu (5 shared papers)Zhao Zhang (4 shared papers)Shuicheng Yan (3 shared papers)Q. M. Jonathan Wu (1 shared paper)Dongliang Zhou (5 shared papers)Yanfang Sun (3 shared papers)
In The Last Decade
Linlin Liu
22 papers receiving 609 citations
Peers
Comparison fields: 5 of 92
- Computer Graphics and Computer-Aided Design 66
- Computer Vision and Pattern Recognition 333
- Museology 25
- Computational Mechanics 89
- Artificial Intelligence 111
Countries citing papers authored by Linlin Liu
This map shows the geographic impact of Linlin 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 Linlin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlin Liu more than expected).
Fields of papers citing papers by Linlin Liu
This network shows the impact of papers produced by Linlin 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 Linlin Liu. The network helps show where Linlin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Linlin 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2018 | 78 | |
| 3 | 2018 | 67 | |
| 4 | 2020 | 60 | |
| 5 | 2022 | 60 | |
| 6 | 2019 | 54 | |
| 7 | 2018 | 40 | |
| 8 | 2018 | 29 | |
| 9 | 2017 | 28 | |
| 10 | 2022 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2019 | 18 | |
| 13 | 2022 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2021 | 7 | |
| 18 | 2025 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 5 |
About Linlin Liu
Linlin Liu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 22 papers that have together received 628 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (13 papers), 3D Shape Modeling and Analysis (7 papers), Face recognition and analysis (6 papers), Human Pose and Action Recognition (3 papers), Advanced Image Processing Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Memory and Neural Computing (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (66 citations), Computer Vision and Pattern Recognition (333 citations), Museology (25 citations), Computational Mechanics (89 citations) and Artificial Intelligence (111 citations). Linlin Liu has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Haijun Zhang, Yuzhu Ji, Xiaofei Xu, Zhao Zhang, Shuicheng Yan, Q. M. Jonathan Wu, Dongliang Zhou, Yanfang Sun, Jun Wang and Zhenyuan Guo. Their work appears in journals such as Neurocomputing, Neural Computing and Applications, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Industrial Informatics.
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.