Yimin Wen

73 total papers · 527 total citations
28 papers, 289 citations indexed

About

Yimin Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yimin Wen has authored 28 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Yimin Wen's work include Data Stream Mining Techniques (8 papers), Machine Learning and Data Classification (5 papers) and Face and Expression Recognition (4 papers). Yimin Wen is often cited by papers focused on Data Stream Mining Techniques (8 papers), Machine Learning and Data Classification (5 papers) and Face and Expression Recognition (4 papers). Yimin Wen collaborates with scholars based in China and Australia. Yimin Wen's co-authors include Hang Yu, Jie Lü, Guangquan Zhang, Guoyong Cai, Qingyong Zhang, Yun Xue, Tianyu Liu, Qing Zhou, Ye Tian and Bin Zou and has published in prestigious journals such as International Journal of Molecular Sciences, Pattern Recognition and Information Sciences.

In The Last Decade

Yimin Wen

24 papers receiving 280 citations

Author Peers

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

Author						Papers	Cites
Yimin Wen	200	47	37	35	34	28	289
Kalyan Kumar Jena	72 0.4×	27 0.6×	41 1.1×	19 0.5×	70 2.1×	32	263
Nikos Fazakis	189 0.9×	33 0.7×	18 0.5×	11 0.3×	33 1.0×	25	310
Ilyes Jenhani	125 0.6×	17 0.4×	45 1.2×	31 0.9×	89 2.6×	18	293
Lule Ahmedi	114 0.6×	12 0.3×	67 1.8×	26 0.7×	71 2.1×	39	240
Anurag Sharma	146 0.7×	7 0.1×	31 0.8×	14 0.4×	40 1.2×	35	303
Qinghua Liu	98 0.5×	11 0.2×	28 0.8×	29 0.8×	18 0.5×	22	207
Radha Senthilkumar	47 0.2×	16 0.3×	61 1.6×	23 0.7×	69 2.0×	38	235
Souhaib Aammou	110 0.6×	106 2.3×	16 0.4×	7 0.2×	49 1.4×	28	295
Hao Wang	138 0.7×	16 0.3×	41 1.1×	25 0.7×	21 0.6×	24	301
Rixin Xu	186 0.9×	24 0.5×	60 1.6×	34 1.0×	86 2.5×	25	330

Countries citing papers authored by Yimin Wen

Since Specialization

Citations

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

Fields of papers citing papers by Yimin Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yimin Wen

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