Ruoqi Li

47 total papers · 501 total citations
27 papers, 301 citations indexed

About

Ruoqi Li is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Ruoqi Li has authored 27 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in Ruoqi Li's work include Anomaly Detection Techniques and Applications (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Cancer-related molecular mechanisms research (2 papers). Ruoqi Li is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Cancer-related molecular mechanisms research (2 papers). Ruoqi Li collaborates with scholars based in China, United States and Philippines. Ruoqi Li's co-authors include Xincheng Yao, Xiang Fan, Chongyang Zhang, Fengxia Zhang, Lu Yu, Jingjing Shi, Jing Zhang, Yi Liu, Shanshan Zhang and Yuan Zhou and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Image Processing and Toxicology and Applied Pharmacology.

In The Last Decade

Ruoqi Li

24 papers receiving 300 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ruoqi Li	95	71	52	45	42	27	301
Raffaele Martino	49 0.5×	39 0.5×	81 1.6×	30 0.7×	45 1.1×	18	339
He Gao	77 0.8×	25 0.4×	125 2.4×	17 0.4×	42 1.0×	19	320
Kaori Sugawara	108 1.1×	42 0.6×	18 0.3×	23 0.5×	37 0.9×	30	316
Alexandra Moraru	83 0.9×	51 0.7×	23 0.4×	18 0.4×	36 0.9×	25	361
Chih-Chieh Lin	37 0.4×	52 0.7×	22 0.4×	21 0.5×	46 1.1×	23	315
Yuansheng Xu	59 0.6×	142 2.0×	26 0.5×	41 0.9×	27 0.6×	16	362
Xiuwei Zhang	62 0.7×	23 0.3×	51 1.0×	30 0.7×	23 0.5×	39	340
Tao Guan	88 0.9×	22 0.3×	38 0.7×	14 0.3×	66 1.6×	24	330
A.P. Dhillon	58 0.6×	87 1.2×	58 1.1×	18 0.4×	56 1.3×	22	359
Yiheng Yang	38 0.4×	60 0.8×	24 0.5×	17 0.4×	21 0.5×	30	325

Countries citing papers authored by Ruoqi Li

Since Specialization

Citations

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

Fields of papers citing papers by Ruoqi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoqi Li

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

All Works

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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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