Keyang Cheng

93 total papers · 422 total citations
44 papers, 252 citations indexed

About

Keyang Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Keyang Cheng has authored 44 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Keyang Cheng's work include Video Surveillance and Tracking Methods (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Face and Expression Recognition (7 papers). Keyang Cheng is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Face and Expression Recognition (7 papers). Keyang Cheng collaborates with scholars based in China, United Kingdom and Pakistan. Keyang Cheng's co-authors include Maozhen Li, Yongzhao Zhan, Xiaoyang Tan, Lei Cui, Man Qi, Shi Qiu, Shaohua Wan, Yi Ding, Fei Tao and Kenli Li and has published in prestigious journals such as Fuel, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Keyang Cheng

38 papers receiving 248 citations

Author Peers

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

Author						Papers	Cites
Keyang Cheng	135	57	29	21	19	44	252
Huiying Xu	135 1.0×	63 1.1×	19 0.7×	34 1.6×	14 0.7×	40	286
Ziyang Zhang	123 0.9×	54 0.9×	22 0.8×	16 0.8×	48 2.5×	33	261
Xu Zhang	127 0.9×	55 1.0×	14 0.5×	17 0.8×	14 0.7×	31	236
Eui-Young Cha	152 1.1×	39 0.7×	26 0.9×	35 1.7×	10 0.5×	34	320
Honghong Yang	157 1.2×	44 0.8×	24 0.8×	11 0.5×	18 0.9×	44	297
Purnawarman Musa	131 1.0×	47 0.8×	11 0.4×	22 1.0×	23 1.2×	34	270
E. S. Gopi	86 0.6×	59 1.0×	24 0.8×	28 1.3×	29 1.5×	34	225
Junliang Chen	108 0.8×	109 1.9×	20 0.7×	21 1.0×	22 1.2×	29	263
Min Jiang	122 0.9×	64 1.1×	14 0.5×	24 1.1×	23 1.2×	56	327
Yang Hong	122 0.9×	39 0.7×	38 1.3×	14 0.7×	13 0.7×	33	308

Countries citing papers authored by Keyang Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Keyang Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyang Cheng

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