Yunyi Li

77 total papers · 633 total citations
40 papers, 430 citations indexed

About

Yunyi Li is a scholar working on Computational Mechanics, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yunyi Li has authored 40 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 10 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yunyi Li's work include Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (6 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). Yunyi Li is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (6 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). Yunyi Li collaborates with scholars based in China, United States and Japan. Yunyi Li's co-authors include Guan Gui, Xiefeng Cheng, Wei Li, Xiangping Zhang, Feng Shu, Jian Xiong, Jie Yang, Hikmet Sari, Yun Lin and Fei Dai and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Yunyi Li

35 papers receiving 427 citations

Author Peers

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

Author						Papers	Cites
Yunyi Li	99	94	62	57	47	40	430
Torben Larsen	44 0.4×	112 1.2×	33 0.5×	55 1.0×	50 1.1×	26	416
Di Zhao	40 0.4×	68 0.7×	49 0.8×	23 0.4×	10 0.2×	65	463
Zhi Lu	30 0.3×	174 1.9×	67 1.1×	36 0.6×	10 0.2×	27	410
Jianhang Zhou	38 0.4×	113 1.2×	87 1.4×	60 1.1×	9 0.2×	54	484
Vladimir Despotović	41 0.4×	74 0.8×	27 0.4×	27 0.5×	13 0.3×	68	461
Louis Shue	46 0.5×	80 0.9×	61 1.0×	72 1.3×	3 0.1×	30	420
Boris Mailhé	122 1.2×	176 1.9×	65 1.0×	14 0.2×	6 0.1×	24	391
Marc C. Robini	51 0.5×	92 1.0×	125 2.0×	23 0.4×	6 0.1×	38	380
Suman Tewary	23 0.2×	133 1.4×	113 1.8×	51 0.9×	5 0.1×	31	482
Shihab Jimaa	61 0.6×	35 0.4×	36 0.6×	160 2.8×	9 0.2×	51	388

Countries citing papers authored by Yunyi Li

Since Specialization

Citations

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

Fields of papers citing papers by Yunyi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunyi Li

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