Peipei Yang

48 total papers · 403 total citations
28 papers, 241 citations indexed

About

Peipei Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Peipei Yang has authored 28 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 5 papers in Aerospace Engineering. Recurrent topics in Peipei Yang's work include Domain Adaptation and Few-Shot Learning (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Peipei Yang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Neural Network Applications (5 papers). Peipei Yang collaborates with scholars based in China, United Kingdom and United States. Peipei Yang's co-authors include Cheng‐Lin Liu, Kaizhu Huang, Xu-Yao Zhang, Amir Hussain, Ting-Bing Xu, Kaiqi Huang, Soujanya Poria, Alexander Gelbukh, Erik Cambria and T.S. Durrani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Peipei Yang

27 papers receiving 235 citations

Author Peers

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

Author						Papers	Cites
Peipei Yang	129	121	16	15	14	28	241
Tianshi Gao	122 0.9×	171 1.4×	25 1.6×	14 0.9×	17 1.2×	20	278
Tao Li	85 0.7×	146 1.2×	11 0.7×	20 1.3×	10 0.7×	24	230
D. Narain Ponraj	136 1.1×	82 0.7×	9 0.6×	29 1.9×	26 1.9×	28	277
Jie Luo	199 1.5×	225 1.9×	19 1.2×	16 1.1×	7 0.5×	17	329
Xu Zhang	55 0.4×	127 1.0×	59 3.7×	15 1.0×	14 1.0×	31	236
Liyu Gong	123 1.0×	110 0.9×	6 0.4×	19 1.3×	11 0.8×	19	313
Lingxiao Yang	62 0.5×	99 0.8×	11 0.7×	6 0.4×	14 1.0×	27	214
Ziyang Zhang	54 0.4×	123 1.0×	16 1.0×	11 0.7×	28 2.0×	33	261
Sorin Moga	83 0.6×	87 0.7×	14 0.9×	9 0.6×	68 4.9×	19	254
Nanyang Ye	146 1.1×	144 1.2×	5 0.3×	10 0.7×	11 0.8×	35	283

Countries citing papers authored by Peipei Yang

Since Specialization

Citations

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

Fields of papers citing papers by Peipei Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipei Yang

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