Yuecheng Li

66 total papers · 957 total citations
38 papers, 656 citations indexed

About

Yuecheng Li is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Yuecheng Li has authored 38 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Atomic and Molecular Physics, and Optics and 7 papers in Artificial Intelligence. Recurrent topics in Yuecheng Li's work include Image Enhancement Techniques (6 papers), Nutritional Studies and Diet (6 papers) and Advanced Vision and Imaging (6 papers). Yuecheng Li is often cited by papers focused on Image Enhancement Techniques (6 papers), Nutritional Studies and Diet (6 papers) and Advanced Vision and Imaging (6 papers). Yuecheng Li collaborates with scholars based in China, United States and Singapore. Yuecheng Li's co-authors include Mingui Sun, Wenyan Jia, Chengliu Li, Zhi‐Hong Mao, Lora E. Burke, Yicheng Bai, John D. Fernstrom, Hsin-Chen Chen, Robert J. Sclabassi and Steven A. Hackworth and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Public Health Nutrition.

In The Last Decade

Yuecheng Li

34 papers receiving 627 citations

Author Peers

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

Author						Papers	Cites
Yuecheng Li	214	189	112	74	69	38	656
Christos Diou	215 1.0×	191 1.0×	111 1.0×	91 1.2×	48 0.7×	78	632
Fanyu Kong	197 0.9×	125 0.7×	177 1.6×	36 0.5×	216 3.1×	24	685
Sougata Sen	96 0.4×	165 0.9×	141 1.3×	33 0.4×	82 1.2×	54	580
Jianing Qiu	190 0.9×	135 0.7×	109 1.0×	112 1.5×	14 0.2×	37	626
Alison Burrows	106 0.5×	132 0.7×	63 0.6×	18 0.2×	70 1.0×	31	562
Guido Matrella	115 0.5×	157 0.8×	233 2.1×	40 0.5×	135 2.0×	45	584
Yingnan Sun	154 0.7×	133 0.7×	198 1.8×	64 0.9×	32 0.5×	18	667
Cliodhna Ní Scanaill	50 0.2×	278 1.5×	238 2.1×	45 0.6×	82 1.2×	16	742
Chengliu Li	247 1.2×	133 0.7×	162 1.4×	23 0.3×	243 3.5×	16	720
Alberto Sanna	58 0.3×	67 0.4×	73 0.7×	129 1.7×	14 0.2×	39	643

Countries citing papers authored by Yuecheng Li

Since Specialization

Citations

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

Fields of papers citing papers by Yuecheng Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuecheng Li

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