Peng Yue

259 total papers · 4.1k total citations
170 papers, 2.8k citations indexed

About

Peng Yue is a scholar working on Information Systems, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Peng Yue has authored 170 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Information Systems, 51 papers in Computer Networks and Communications and 47 papers in Information Systems and Management. Recurrent topics in Peng Yue's work include Data Management and Algorithms (46 papers), Scientific Computing and Data Management (44 papers) and Geographic Information Systems Studies (43 papers). Peng Yue is often cited by papers focused on Data Management and Algorithms (46 papers), Scientific Computing and Data Management (44 papers) and Geographic Information Systems Studies (43 papers). Peng Yue collaborates with scholars based in China, United States and Italy. Peng Yue's co-authors include Liangcun Jiang, Liping Di, Chenxiao Zhang, Boyi Shangguan, Deodato Tapete, Li Huang, Guangchao Liu, Jianya Gong, Peisheng Zhao and Zhenyu Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Peng Yue

151 papers receiving 2.7k citations

Hit Papers

A deeply supervised image... 2020 2026 2022 2024 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Peng Yue 972 640 604 553 539 170 2.8k
Huayi Wu 315 0.3× 302 0.5× 375 0.6× 330 0.6× 370 0.7× 210 2.9k
Qunying Huang 145 0.1× 227 0.4× 487 0.8× 139 0.3× 462 0.9× 112 3.4k
Yunqiang Zhu 223 0.2× 341 0.5× 357 0.6× 414 0.7× 235 0.4× 103 2.4k
Min Chen 104 0.1× 523 0.8× 437 0.7× 262 0.5× 849 1.6× 269 4.7k
J.L. van Genderen 2.0k 2.1× 554 0.9× 532 0.9× 890 1.6× 278 0.5× 135 4.8k
Ricardo da Silva Torres 684 0.7× 203 0.3× 936 1.5× 500 0.9× 68 0.1× 279 4.5k
Yan Ma 260 0.3× 166 0.3× 236 0.4× 322 0.6× 65 0.1× 109 2.0k
Qing Zhu 504 0.5× 413 0.6× 287 0.5× 212 0.4× 293 0.5× 208 3.6k
Peng Liu 733 0.8× 402 0.6× 475 0.8× 357 0.6× 28 0.1× 183 2.7k
Stefano Nativi 82 0.1× 126 0.2× 447 0.7× 196 0.4× 466 0.9× 136 1.9k

Countries citing papers authored by Peng Yue

Since Specialization
Citations

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

Fields of papers citing papers by Peng Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Yue

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