Le Liu

587 total citations · 1 hit paper
14 papers, 376 citations indexed

About

Le Liu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Nephrology. According to data from OpenAlex, Le Liu has authored 14 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Nephrology. Recurrent topics in Le Liu's work include Human Pose and Action Recognition (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Le Liu is often cited by papers focused on Human Pose and Action Recognition (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Le Liu collaborates with scholars based in China, United States and Australia. Le Liu's co-authors include Wenbin Cai, Xu Zhang, Jin Wang, Xuelian Shi, Zhipeng Chen, Yi Zhu, Ding Ai, Yanan Liu, Xuan Fang and Sarah H. Creem-Regehr and has published in prestigious journals such as Circulation, The FASEB Journal and Free Radical Biology and Medicine.

In The Last Decade

Le Liu

12 papers receiving 368 citations

Hit Papers

Alox15/15-HpETE Aggravates Myocardial Ischemia-Reperfusio... 2023 2026 2024 2025 2023 50 100 150 200

Peers

Le Liu
Yunfei Lu China
Rui Feng United States
Yu Liang China
Yunfei Lu China
Le Liu
Citations per year, relative to Le Liu Le Liu (= 1×) peers Yunfei Lu

Countries citing papers authored by Le Liu

Since Specialization
Citations

This map shows the geographic impact of Le 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 Le Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Liu more than expected).

Fields of papers citing papers by Le Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le 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 Le Liu. The network helps show where Le Liu may publish in the future.

Co-authorship network of co-authors of Le Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Le Liu. A scholar is included among the top collaborators of Le 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 Le Liu. Le Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Sun, Mengyang, et al.. (2025). More video-relevant paragraph captioning via Perturbed Attention Self-Distillation. Pattern Recognition. 169. 111871–111871.
2.
Liu, Qingjun, Le Liu, Hong Zhu, et al.. (2024). A new nomogram prediction model for pulmonary embolism in older hospitalized patients. Heliyon. 10(3). e25317–e25317. 1 indexed citations
3.
Wu, Xiaoyu, Xiao Liu, Le Liu, et al.. (2024). Anti‐neutrophil cytoplasmic antibody‐associated vasculitis with headache and stroke as the main symptoms: A case report. Headache The Journal of Head and Face Pain. 64(4). 448–459.
4.
Sun, Mengyang, Peng Wang, Kai Niu, et al.. (2024). An Adaptive Correlation Filtering Method for Text-Based Person Search. International Journal of Computer Vision. 132(10). 4440–4455. 5 indexed citations
5.
Liu, Le, et al.. (2023). LINC02454 promotes thyroid carcinoma progression via upregulating HMGA2 through CREB1. The FASEB Journal. 37(12). e23288–e23288. 3 indexed citations
6.
Liu, Le, et al.. (2023). The efficacy and safety of Niaoduqing granules in the treatment of diabetic kidney disease: a systematic review and meta-analysis. Frontiers in Pharmacology. 14. 1180751–1180751. 3 indexed citations
7.
Cai, Wenbin, Le Liu, Xuelian Shi, et al.. (2023). Alox15/15-HpETE Aggravates Myocardial Ischemia-Reperfusion Injury by Promoting Cardiomyocyte Ferroptosis. Circulation. 147(19). 1444–1460. 241 indexed citations breakdown →
8.
Cai, Wenbin, Yinjiao Zhao, Le Liu, et al.. (2021). Redox environment metabolomic evaluation (REME) of the heart after myocardial ischemia/reperfusion injury. Free Radical Biology and Medicine. 173. 7–18. 12 indexed citations
9.
Zheng, Hui, et al.. (2021). Preoperative use of furosemide may increase the incidence of acute kidney injury after coronary artery bypass grafting: a propensity score-matched study. General Thoracic and Cardiovascular Surgery. 69(10). 1392–1399. 5 indexed citations
10.
Mi, Jia, et al.. (2021). Efficacy and safety of acupuncture combined with Chinese herbal medicine in the treatment of type 2 diabetes mellitus. Medicine. 100(43). e27658–e27658. 6 indexed citations
11.
Ruginski, Ian T., Alexander P. Boone, Lace Padilla, et al.. (2016). Non-expert interpretations of hurricane forecast uncertainty visualizations. Spatial Cognition and Computation. 16(2). 154–172. 88 indexed citations
12.
Liu, Le, Hong Yu, Hao Liu, Xing Wang, & Jianmin Yao. (2014). Effective Selection of Translation Model Training Data. 569–573. 9 indexed citations
13.
Liu, Le, Yu Hong, Jun Lu, et al.. (2014). An Iterative Link-based Method for Parallel Web Page Mining. 1216–1224. 1 indexed citations
14.
Wen, Dunwei, et al.. (2014). Multiple kernel MtLSSVM and its application in lung nodule recognition. 44(2). 508–515. 2 indexed citations

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.

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