Yanpeng Qu

74 total papers · 663 total citations
49 papers, 383 citations indexed

About

Yanpeng Qu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanpeng Qu has authored 49 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yanpeng Qu's work include Rough Sets and Fuzzy Logic (19 papers), Data Mining Algorithms and Applications (8 papers) and Face and Expression Recognition (7 papers). Yanpeng Qu is often cited by papers focused on Rough Sets and Fuzzy Logic (19 papers), Data Mining Algorithms and Applications (8 papers) and Face and Expression Recognition (7 papers). Yanpeng Qu collaborates with scholars based in China, United Kingdom and Brazil. Yanpeng Qu's co-authors include Longzhi Yang, Qiang Shen, Changjing Shang, Fei Chao, Wei Wu, Neil Mac Parthaláin, Zheming Zuo, Jie Li, Graham Sexton and Wei Wu and has published in prestigious journals such as IEEE Access, Marine Pollution Bulletin and Information Sciences.

In The Last Decade

Yanpeng Qu

42 papers receiving 371 citations

Author Peers

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

Author						Papers	Cites
Yanpeng Qu	247	109	71	68	32	49	383
Shangzhu Jin	226 0.9×	141 1.3×	43 0.6×	87 1.3×	42 1.3×	57	415
Miho Ohsaki	198 0.8×	114 1.0×	94 1.3×	55 0.8×	21 0.7×	54	432
Ying Guo	206 0.8×	107 1.0×	40 0.6×	42 0.6×	14 0.4×	45	396
Zhen Liu	183 0.7×	94 0.9×	163 2.3×	46 0.7×	37 1.2×	47	444
Morteza Haghir Chehreghani	169 0.7×	73 0.7×	49 0.7×	38 0.6×	26 0.8×	52	397
T. V. Geetha	149 0.6×	59 0.5×	89 1.3×	78 1.1×	30 0.9×	38	387
Xiao Yang	262 1.1×	49 0.4×	27 0.4×	61 0.9×	42 1.3×	32	364
Sartra Wongthanavasu	155 0.6×	130 1.2×	128 1.8×	103 1.5×	24 0.8×	43	380
Nordin Zakaria	153 0.6×	63 0.6×	73 1.0×	37 0.5×	66 2.1×	68	406
Cheng-Fa Tsai	183 0.7×	54 0.5×	71 1.0×	48 0.7×	58 1.8×	35	339

Countries citing papers authored by Yanpeng Qu

Since Specialization

Citations

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

Fields of papers citing papers by Yanpeng Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanpeng Qu

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