Yu Shi

155 total papers · 1.9k total citations
113 papers, 1.1k citations indexed

About

Yu Shi is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Media Technology. According to data from OpenAlex, Yu Shi has authored 113 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 38 papers in Mechanical Engineering and 28 papers in Media Technology. Recurrent topics in Yu Shi's work include Advanced Image Processing Techniques (20 papers), Advanced Image Fusion Techniques (18 papers) and Image and Signal Denoising Methods (17 papers). Yu Shi is often cited by papers focused on Advanced Image Processing Techniques (20 papers), Advanced Image Fusion Techniques (18 papers) and Image and Signal Denoising Methods (17 papers). Yu Shi collaborates with scholars based in China, United States and United Kingdom. Yu Shi's co-authors include Zhenghua Huang, Hanyu Hong, Volodymyr Korzhyk, Youwei Xu, Xiaoliang Fan, Zhicheng Wang, Lei Ma, Yufen Gu, Hua Xia and Xuan Li and has published in prestigious journals such as Carbon, Chemical Engineering Journal and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yu Shi

101 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Yu Shi	461	323	276	202	174	113	1.1k
Hao Du	298 0.6×	443 1.4×	153 0.6×	103 0.5×	235 1.4×	106	1.5k
Miaohui Wang	376 0.8×	630 2.0×	203 0.7×	114 0.6×	91 0.5×	113	1.3k
Xiaochuan Zhang	295 0.6×	176 0.5×	217 0.8×	194 1.0×	71 0.4×	118	1.2k
Jacob Hochhalter	569 1.2×	132 0.4×	238 0.9×	64 0.3×	49 0.3×	65	1.1k
Jian Wang	505 1.1×	268 0.8×	224 0.8×	69 0.3×	112 0.6×	127	1.5k
Zhiyuan Zhang	261 0.6×	257 0.8×	180 0.7×	136 0.7×	69 0.4×	66	1.2k
Ying Zou	416 0.9×	171 0.5×	445 1.6×	109 0.5×	18 0.1×	66	1.4k
Yong Li	139 0.3×	125 0.4×	381 1.4×	70 0.3×	75 0.4×	78	1.1k
Lei Liu	221 0.5×	360 1.1×	185 0.7×	172 0.9×	107 0.6×	146	1.3k
Wataru Yamada	361 0.8×	74 0.2×	242 0.9×	282 1.4×	102 0.6×	132	980

Countries citing papers authored by Yu Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yu Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shi

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