Yinghui Kong

52 total papers · 413 total citations
35 papers, 294 citations indexed

About

Yinghui Kong is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Yinghui Kong has authored 35 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Electrical and Electronic Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in Yinghui Kong's work include Face and Expression Recognition (4 papers), Gait Recognition and Analysis (3 papers) and Video Surveillance and Tracking Methods (3 papers). Yinghui Kong is often cited by papers focused on Face and Expression Recognition (4 papers), Gait Recognition and Analysis (3 papers) and Video Surveillance and Tracking Methods (3 papers). Yinghui Kong collaborates with scholars based in China, United Kingdom and Macao. Yinghui Kong's co-authors include Ke Zhang, Zhenbing Zhao, Lei Zhang, Zhen Zhen, Yincheng Qi, Jinsha Yuan, Qiang Ni, Jungong Han, Feng Yan and Zhiye Chen and has published in prestigious journals such as PLoS ONE, Energies and Neural Computing and Applications.

In The Last Decade

Yinghui Kong

33 papers receiving 278 citations

Author Peers

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

Author						Papers	Cites
Yinghui Kong	157	71	48	46	38	35	294
Jaemin Kim	125 0.8×	55 0.8×	27 0.6×	52 1.1×	25 0.7×	29	327
Huanbing Gao	104 0.7×	47 0.7×	41 0.9×	64 1.4×	53 1.4×	21	340
Jingbo Zhou	199 1.3×	55 0.8×	35 0.7×	15 0.3×	42 1.1×	48	351
Jianqi Li	93 0.6×	97 1.4×	49 1.0×	43 0.9×	21 0.6×	39	286
Jiang Bian	112 0.7×	43 0.6×	113 2.4×	32 0.7×	37 1.0×	28	347
Zhengyu Xie	123 0.8×	44 0.6×	36 0.8×	16 0.3×	26 0.7×	30	339
Xu Liang	104 0.7×	53 0.7×	57 1.2×	17 0.4×	40 1.1×	21	313
Alireza Ahrary	125 0.8×	62 0.9×	83 1.7×	45 1.0×	21 0.6×	37	357
Nikolaos Dimitriou	132 0.8×	41 0.6×	28 0.6×	29 0.6×	56 1.5×	48	336
Jianqi Zhang	82 0.5×	35 0.5×	58 1.2×	36 0.8×	32 0.8×	24	283

Countries citing papers authored by Yinghui Kong

Since Specialization

Citations

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

Fields of papers citing papers by Yinghui Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghui Kong

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