Le Li

848 total citations
18 papers, 431 citations indexed

About

Le Li is a scholar working on Molecular Biology, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Le Li has authored 18 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Le Li's work include Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and RNA modifications and cancer (3 papers). Le Li is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and RNA modifications and cancer (3 papers). Le Li collaborates with scholars based in China, Hong Kong and United States. Le Li's co-authors include Zhiwen Yu, Guoqiang Han, Jun Zhang, Jiming Liu, Qiang Tang, Yuchen Zhang, Wei Chen, Jun Cheng, Jiahao Lin and Puwen Tan and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Le Li

17 papers receiving 425 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Le Li China	9	222	138	123	80	28	18	431
Liwei Shao China	15	182 0.8×	116 0.8×	39 0.3×	75 0.9×	34 1.2×	46	454
Mingzhu Lu China	11	137 0.6×	70 0.5×	140 1.1×	173 2.2×	20 0.7×	29	483
Dongxiao Li China	13	213 1.0×	57 0.4×	66 0.5×	105 1.3×	43 1.5×	46	530
Jianqing Liang China	16	160 0.7×	47 0.3×	119 1.0×	152 1.9×	81 2.9×	40	626
Aiping Huang China	12	93 0.4×	30 0.2×	112 0.9×	127 1.6×	57 2.0×	41	491
Xiangtao Li China	13	336 1.5×	102 0.7×	85 0.7×	61 0.8×	9 0.3×	55	522
Hua Shi China	10	271 1.2×	115 0.8×	45 0.4×	76 0.9×	54 1.9×	45	465
Tian Bai China	9	99 0.4×	26 0.2×	97 0.8×	50 0.6×	12 0.4×	47	277
Zerrin Işık Türkiye	10	150 0.7×	23 0.2×	135 1.1×	120 1.5×	23 0.8×	32	410

Countries citing papers authored by Le Li

Since Specialization

Citations

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

Fields of papers citing papers by Le Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Li

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Zhang, Yingying, Alden King-Yung Leung, Le Li, et al.. (2025). A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology. Nature Communications. 16(1). 975–975. 2 indexed citations

Lyu, Honghao, Ruohan Wang, Yuyao Lu, et al.. (2025). Toward Anthropomorphic Grasping in Food Industries: A Dual-Arm Mobile Robot With Human-Like Reaching Function for Adaptive Grasping. IEEE Internet of Things Journal. 12(23). 49198–49206.

Liang, Yong, et al.. (2024). HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations. PLoS Computational Biology. 20(4). e1011927–e1011927. 14 indexed citations

Chen, Feifei, et al.. (2023). Promote lipolysis in white adipocytes by magnetic hyperthermia therapy with Fe₃O₄ microsphere-doped hydrogel. Nanotechnology. 35(15). 155101–155101. 4 indexed citations

Li, Le, et al.. (2023). Performance Optimization for Noise Interference Privacy Protection in Federated Learning. IEEE Transactions on Cognitive Communications and Networking. 9(5). 1322–1339. 1 indexed citations

Chen, Shengbo, Le Li, Guanghui Wang, Meng Pang, & Cong Shen. (2023). Federated Learning With Heterogeneous Quantization Bit Allocation and Aggregation for Internet of Things. IEEE Internet of Things Journal. 11(2). 3132–3143. 8 indexed citations

Li, Le, Claire Chung, Alden King-Yung Leung, et al.. (2023). Accurate identification of structural variations from cancer samples. Briefings in Bioinformatics. 25(1). 4 indexed citations

Kang, Juanjuan, Qiang Tang, Jun He, et al.. (2021). RNAInter v4.0: RNA interactome repository with redefined confidence scoring system and improved accessibility. Nucleic Acids Research. 50(D1). D326–D332. 153 indexed citations

Hao, Desirée, Janessa Laskin, Scott A. Laurie, et al.. (2021). P89.03 Demonstrating VALUE of Liquid Biopsy for Lung Cancer in a Public Healthcare System. Journal of Thoracic Oncology. 16(3). S689–S689. 6 indexed citations

10.

Li, Le, Yuwei Gao, Qiong Wu, Alfred S.L. Cheng, & Kevin Y. Yip. (2019). New guidelines for DNA methylome studies regarding 5-hydroxymethylcytosine for understanding transcriptional regulation. Genome Research. 29(4). 543–553. 16 indexed citations

11.

Wang, Xinlong, Yilong Li, Jiating Li, et al.. (2019). Cell-in-Cell Phenomenon and Its Relationship With Tumor Microenvironment and Tumor Progression: A Review. Frontiers in Cell and Developmental Biology. 7. 311–311. 37 indexed citations

12.

Leung, Alden King-Yung, Chunjiao Liu, Le Li, et al.. (2019). OMMA enables population-scale analysis of complex genomic features and phylogenomic relationships from nanochannel-based optical maps. GigaScience. 8(7). 5 indexed citations

13.

Liu, Yongtao, Xiaohui Ai, Le Li, Jincheng Li, & Hong Yang. (2017). A fast and accurate isotope dilution GC‐IT‐MS/MS method for determination of eugenol in different tissues of fish: Application to a depletion study in mandarin fish. Biomedical Chromatography. 32(5). e4163–e4163. 9 indexed citations

14.

Cheng, Lixin, et al.. (2016). ICN: a normalization method for gene expression data considering the over-expression of informative genes. Molecular BioSystems. 12(10). 3057–3066. 26 indexed citations

15.

Li, Le & Kevin Y. Yip. (2016). Integrating Information in Biological Ontologies and Molecular Networks to Infer Novel Terms. Scientific Reports. 6(1). 39237–39237. 5 indexed citations

16.

Yu, Zhiwen, Guoqiang Han, Le Li, Jiming Liu, & Jun Zhang. (2016). Adaptive noise immune cluster ensemble using affinity propagation. 1454–1455. 3 indexed citations

17.

Yu, Zhiwen, Le Li, Jiming Liu, Jun Zhang, & Guoqiang Han. (2015). Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation. IEEE Transactions on Knowledge and Data Engineering. 27(12). 3176–3189. 81 indexed citations

18.

Yu, Zhiwen, Jane You, Hau−San Wong, et al.. (2014). Double Selection Based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(4). 727–740. 57 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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