Jinglei Liu
- Cancer Research top 1%
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 6
- Molecular Biology top 5%
- Circular RNAs in diseases 8
- Signal Processing top 10%
- Data Management and Algorithms 12
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- Face and Expression Recognition 15
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- Rough Sets and Fuzzy Logic 9
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- Remote-Sensing Image Classification 9
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- Constraint Satisfaction and Optimization 7
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (3 papers)Cell Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Jinglei Liu
79 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Cancer Research 1.1k
- Molecular Biology 1.6k
- Signal Processing 72
- Computer Vision and Pattern Recognition 108
- Computational Mathematics 3
Countries citing papers authored by Jinglei Liu
This map shows the geographic impact of Jinglei 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 Jinglei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinglei Liu more than expected).
Fields of papers citing papers by Jinglei Liu
This network shows the impact of papers produced by Jinglei 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 Jinglei Liu. The network helps show where Jinglei Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinglei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 6 | |
| 12 | 2019 | 40 | |
| 13 | 2019 | 17 | |
| 14 | 2018 | 11 | |
| 15 | A peptide encoded by circular form of LINC-PINT suppresses oncogenic transcriptional elongation in glioblastomabreakdown → | 2018 | 548 |
| 16 | 2016 | 1 | |
| 17 | Construction of a GAI Tree with Hypergraph Decompositions | 2014 | 1 |
| 18 | 2011 | 63 | |
| 19 | Inhibition of survivin expression and mechanisms of reversing drug-resistance of human lung adenocarcinoma cells by siRNA. | 2010 | 22 |
| 20 | 2008 | 23 |
About Jinglei Liu
Jinglei Liu is a scholar working on Signal Processing, Media Technology and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (15 papers), Data Management and Algorithms (12 papers), Rough Sets and Fuzzy Logic (9 papers), MicroRNA in disease regulation (9 papers), Remote-Sensing Image Classification (9 papers), Circular RNAs in diseases (8 papers), Constraint Satisfaction and Optimization (7 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.6k citations) and Signal Processing (72 citations). Jinglei Liu has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Feiya Li, Burton B. Yang, Alina T. He, Kun Zhao, Nu Zhang, Nunu Huang, Yanwei Yu, Ping Wei, Suyun Huang and Jiang Ji. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Cell Metabolism.
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.