Yang Zhi

151 total papers · 412 total citations
65 papers, 265 citations indexed

About

Yang Zhi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yang Zhi has authored 65 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 11 papers in Control and Systems Engineering. Recurrent topics in Yang Zhi's work include Face and Expression Recognition (7 papers), Visual Attention and Saliency Detection (7 papers) and Anomaly Detection Techniques and Applications (6 papers). Yang Zhi is often cited by papers focused on Face and Expression Recognition (7 papers), Visual Attention and Saliency Detection (7 papers) and Anomaly Detection Techniques and Applications (6 papers). Yang Zhi collaborates with scholars based in China, United States and Taiwan. Yang Zhi's co-authors include Haitao Gan, Yingle Fan, Aihua Mao, Rui Huang, Yong‐Jin Liu, Yanfei Chen, Xuan Li, Zhizeng Luo, Jinwen Tian and Weiwei Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Desalination.

In The Last Decade

Yang Zhi

53 papers receiving 257 citations

Author Peers

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

Author						Papers	Cites
Yang Zhi	157	82	40	29	18	65	265
Tohru Kamiya	98 0.6×	83 1.0×	37 0.9×	22 0.8×	26 1.4×	71	320
Tarek M. Hamdani	152 1.0×	155 1.9×	27 0.7×	32 1.1×	19 1.1×	55	321
Koushlendra Kumar Singh	83 0.5×	109 1.3×	32 0.8×	38 1.3×	7 0.4×	47	315
Luwen Huangfu	115 0.7×	109 1.3×	13 0.3×	32 1.1×	10 0.6×	40	321
Hyun‐Soo Kang	223 1.4×	45 0.5×	74 1.9×	37 1.3×	5 0.3×	72	321
Wei Zhang	185 1.2×	107 1.3×	105 2.6×	8 0.3×	16 0.9×	41	311
Lili Wan	132 0.8×	34 0.4×	9 0.2×	20 0.7×	18 1.0×	54	267
Songsong Wu	191 1.2×	57 0.7×	31 0.8×	35 1.2×	27 1.5×	42	272
Xi Yang	119 0.8×	120 1.5×	37 0.9×	9 0.3×	8 0.4×	34	280
Puneet Garg	69 0.4×	89 1.1×	40 1.0×	7 0.2×	15 0.8×	38	283

Countries citing papers authored by Yang Zhi

Since Specialization

Citations

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

Fields of papers citing papers by Yang Zhi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Zhi

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