Yu Li

7.8k total citations · 1 hit paper
195 papers, 4.0k citations indexed

About

Yu Li is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Yu Li has authored 195 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 29 papers in Artificial Intelligence and 28 papers in Genetics. Recurrent topics in Yu Li's work include RNA and protein synthesis mechanisms (22 papers), Protein Structure and Dynamics (16 papers) and RNA modifications and cancer (15 papers). Yu Li is often cited by papers focused on RNA and protein synthesis mechanisms (22 papers), Protein Structure and Dynamics (16 papers) and RNA modifications and cancer (15 papers). Yu Li collaborates with scholars based in China, United States and Hong Kong. Yu Li's co-authors include Xin Gao, Ramzan Umarov, Sheng Wang, Zhongxiao Li, Lizhong Ding, Yijie Pan, Chao Huang, Lihua Li, Ming Fan and Hongsheng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yu Li

179 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate RNA 3D structure prediction using a language model-based deep learning approach

2024 61 citations Tao Shen, Zhihang Hu et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Li China	36	2.2k	565	369	340	258	195	4.0k
Vivien Marx United States	26	2.0k 0.9×	553 1.0×	245 0.7×	217 0.6×	321 1.2×	180	3.7k
Diogo M. Camacho United States	17	2.4k 1.1×	690 1.2×	348 0.9×	169 0.5×	122 0.5×	23	3.7k
Sanguk Kim South Korea	46	3.9k 1.8×	655 1.2×	349 0.9×	193 0.6×	152 0.6×	177	7.0k
Olli Yli‐Harja Finland	37	2.7k 1.2×	303 0.5×	523 1.4×	430 1.3×	506 2.0×	230	4.9k
Eduardo Fernández Spain	46	2.0k 0.9×	1.0k 1.9×	347 0.9×	188 0.6×	201 0.8×	414	8.2k
Guido Sanguinetti United Kingdom	37	2.6k 1.1×	187 0.3×	560 1.5×	488 1.4×	172 0.7×	135	4.2k
Tobias Madl Austria	46	4.7k 2.1×	207 0.4×	279 0.8×	188 0.6×	230 0.9×	192	6.5k
Harold R. Garner United States	35	3.1k 1.4×	354 0.6×	789 2.1×	277 0.8×	130 0.5×	193	5.5k
Alberto Ferrer Spain	30	1.8k 0.8×	349 0.6×	306 0.8×	183 0.5×	241 0.9×	130	5.0k
Ron D. Appel Switzerland	38	3.6k 1.6×	293 0.5×	319 0.9×	428 1.3×	96 0.4×	98	7.0k

Countries citing papers authored by Yu Li

Since Specialization

Citations

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

Fields of papers citing papers by Yu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Li. A scholar is included among the top collaborators of Yu 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 Yu Li. Yu 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:

20 of 20 papers shown

Hoffecker, Ian T., et al.. (2025). MoRNiNG: A Database of RNA Modification Sites Associated with RNA Secondary Structure Dynamics. Genomics Proteomics & Bioinformatics.

Zhang, Xin, Huan Liu, Yu Li, et al.. (2025). Linking dietary fiber to human malady through cumulative profiling of microbiota disturbance. iMeta. 4(1). e70004–e70004. 3 indexed citations

Shen, Tao, Zhihang Hu, Siqi Sun, et al.. (2024). Accurate RNA 3D structure prediction using a language model-based deep learning approach. Nature Methods. 21(12). 2287–2298. 61 indexed citations breakdown →

Hu, Zhihang, Yixuan Wang, Lei Li, et al.. (2024). Progress and opportunities of foundation models in bioinformatics. Briefings in Bioinformatics. 25(6). 18 indexed citations

Li, Yu, et al.. (2024). Multi-Scale Feature Fusion and Distribution Similarity Network for Few-Shot Automatic Modulation Classification. IEEE Signal Processing Letters. 31. 2890–2894. 8 indexed citations

Cao, Zidan, Yu Li, Yinge Bai, et al.. (2023). Absorption of ethylene dichloride with imidazolium-based ionic liquids. Journal of Molecular Liquids. 376. 121449–121449. 5 indexed citations

Wang, Kailiang, Zhen Zhang, Peng Yu, et al.. (2023). Identification of a new QTL underlying seminal root number in a maize-teosinte population. Frontiers in Plant Science. 14. 1132017–1132017. 4 indexed citations

Li, Yu, Xue Zhong, Kanix Wang, et al.. (2023). The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nature Computational Science. 3(5). 403–417. 4 indexed citations

Cheng, Yuqi, Xingyu Fan, Jianing Zhang, & Yu Li. (2023). A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data. Communications Biology. 6(1). 545–545. 6 indexed citations

10.

Li, Yu, et al.. (2022). Deep learning identifies and quantifies recombination hotspot determinants. Bioinformatics. 38(10). 2683–2691. 5 indexed citations

11.

Wang, Yixuan, Yuelong Chen, Yuqi Cheng, et al.. (2022). Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis. Nature Communications. 13(1). 6735–6735. 40 indexed citations

12.

Chen, Siyuan, Yu Li, Tao Zhang, et al.. (2021). Lunar features detection for energy discovery via deep learning. Applied Energy. 296. 117085–117085. 11 indexed citations

13.

Zhang, Bo, et al.. (2021). Mechanistic insights into the R-loop formation and cleavage in CRISPR-Cas12i1. Nature Communications. 12(1). 3476–3476. 29 indexed citations

14.

Zhang, Tao, Yu Li, Yiteng Li, Shuyu Sun, & Xin Gao. (2020). A self-adaptive deep learning algorithm for accelerating multi-component flash calculation. Computer Methods in Applied Mechanics and Engineering. 369. 113207–113207. 86 indexed citations

15.

Li, Yu, Hanxin Zhang, Ishanu Chattopadhyay, et al.. (2019). Estimating heritability and genetic correlations from large health datasets in the absence of genetic data. Nature Communications. 10(1). 5508–5508. 20 indexed citations

16.

Li, Yu, Tao Zhang, Shuyu Sun, & Xin Gao. (2019). Accelerating flash calculation through deep learning methods. Journal of Computational Physics. 394. 153–165. 45 indexed citations

17.

Li, Yu, Renmin Han, Chongwei Bi, et al.. (2018). DeepSimulator: a deep simulator for Nanopore sequencing. Bioinformatics. 34(17). 2899–2908. 57 indexed citations

18.

Han, Renmin, Yu Li, Xin Gao, & Sheng Wang. (2018). An accurate and rapid continuous wavelet dynamic time warping algorithm for end-to-end mapping in ultra-long nanopore sequencing. Bioinformatics. 34(17). i722–i731. 19 indexed citations

19.

Kong, Ling‐Min, Cheng‐Gong Liao, Yang Zhang, et al.. (2014). A Regulatory Loop Involving miR-22, Sp1, and c-Myc Modulates CD147 Expression in Breast Cancer Invasion and Metastasis. Cancer Research. 74(14). 3764–3778. 138 indexed citations

20.

Li, Yu, et al.. (2010). Molecular epidemiological survey of capsular serotype A Pasteurellosis in cattle. Zhongguo yufang shouyi xuebao. 32(5). 360–364. 1 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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