Ji Liu
- Plant Science top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Lei ZhangYan LiuXichuan ZhouYouzuo LinPaul A. JohnsonYue WuMin ZhangZheng Zhou
- Topics
- Advanced Image and Video Retrieval Techniques (6 papers)Research in Cotton Cultivation (5 papers)Video Surveillance and Tracking Methods (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ji Liu
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 120
- Plant Science 368
- Artificial Intelligence 314
- Computer Vision and Pattern Recognition 212
- Molecular Biology 162
- Biomedical Engineering 105
Countries citing papers authored by Ji Liu
This map shows the geographic impact of Ji 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 Ji Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Liu more than expected).
Fields of papers citing papers by Ji Liu
This network shows the impact of papers produced by Ji 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 Ji Liu. The network helps show where Ji Liu may publish in the future.
Co-authorship network of co-authors of Ji Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ji Liu. A scholar is included among the top collaborators of Ji Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji Liu. Ji Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 29 | |
| 10 | 52 | |
| 11 | LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning | 45 |
| 12 | 178 | |
| 13 | 27 | |
| 14 | Privacy-Preserving Multi-Period Demand Response: A Game Theoretic Approach | 3 |
| 15 | Latent Topic Fusion-Based Cross-Media Image Semantic Annotation | 1 |
| 16 | BeiDou GEO Satellite Orbit Algorithm | 0 |
| 17 | Principle and implementation of urine analyzer with near-infrared spectroscopy | 1 |
| 18 | Specific indexes of college physical education curriculum content standards screened based on the Delphi method. | 0 |
| 19 | Determination of Nine Sensitizing Disperse Dyes in Dyeing Wastewater by Solid Phase Extraction-Liquid Chromatography-Mass Spectrometry | 3 |
| 20 | Visualization of virtual plant based on 3D model converter | 0 |
About Ji Liu
Ji Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Research in Cotton Cultivation (5 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Plant Science (368 citations) and Artificial Intelligence (314 citations). Ji Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lei Zhang, Yan Liu, Xichuan Zhou, Youzuo Lin, Paul A. Johnson, Yue Wu, Min Zhang, Zheng Zhou, Lei Zhang and David Zhang. Their work appears in journals such as Nature Communications, Journal of Agricultural and Food Chemistry and New Phytologist.
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.