Junping Liu
Impact in
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- Phytochemicals and Antioxidant Activities
Papers in
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- Generative Adversarial Networks and Image Synthesis 10
- Advanced Image Processing Techniques 5
- Advanced Vision and Imaging 5
- Image Enhancement Techniques 5
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- Topic Modeling 7
- Co-authors
- Xinrong Hu (31 shared papers)Tao Peng (16 shared papers)Huiwen Chen (1 shared paper)Ruhan He (14 shared papers)Kaibo Yu (1 shared paper)Liqiang Zou (1 shared paper)Lei Zhou (1 shared paper)Zicong Zeng (1 shared paper)
- Journals
- Journal of the Textile Institute (4 papers)The Visual Computer (3 papers)Textile Research Journal (2 papers)Sensors (2 papers)Environmental Pollution (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Junping Liu
54 papers receiving 364 citations
Peers
Comparison fields: 5 of 98
- Biochemistry 36
- Computer Graphics and Computer-Aided Design 15
- Health Informatics 5
- Analytical Chemistry 26
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Junping Liu
This map shows the geographic impact of Junping 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 Junping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junping Liu more than expected).
Fields of papers citing papers by Junping Liu
This network shows the impact of papers produced by Junping 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 Junping Liu. The network helps show where Junping Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junping 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 64 | |
| 2 | 2022 | 44 | |
| 3 | 2014 | 39 | |
| 4 | 2015 | 39 | |
| 5 | 2013 | 16 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2020 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2025 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Junping Liu
Junping Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems and Computer Graphics and Computer-Aided Design, having authored 62 papers that have together received 368 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (10 papers), Industrial Vision Systems and Defect Detection (7 papers), Topic Modeling (7 papers), Color Science and Applications (6 papers), Advanced Image Processing Techniques (5 papers), Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (5 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Biochemistry (36 citations), Computer Graphics and Computer-Aided Design (15 citations), Health Informatics (5 citations), Analytical Chemistry (26 citations) and Computer Vision and Pattern Recognition (56 citations). Junping Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xinrong Hu, Tao Peng, Huiwen Chen, Ruhan He, Kaibo Yu, Liqiang Zou, Lei Zhou, Zicong Zeng, Wei Liu and Xian‐Shu Fu. Their work appears in journals such as Journal of the Textile Institute, The Visual Computer, Textile Research Journal, Sensors and Environmental Pollution.
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.