Pei Ren

23 total papers · 808 total citations
18 papers, 577 citations indexed

About

Pei Ren is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Pei Ren has authored 18 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Pei Ren's work include IoT and Edge/Fog Computing (13 papers), Augmented Reality Applications (10 papers) and Caching and Content Delivery (5 papers). Pei Ren is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Augmented Reality Applications (10 papers) and Caching and Content Delivery (5 papers). Pei Ren collaborates with scholars based in China, United States and Austria. Pei Ren's co-authors include Xiuquan Qiao, Junliang Chen, Schahram Dustdar, Ling Liu, Yakun Huang, Huadóng Ma, Calton Pu, Guoshun Nan, Jian Tang and M. Brian Blake and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Pei Ren

18 papers receiving 563 citations

Author Peers

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

Author Last Decade Papers Cites
Pei Ren 334 332 117 84 71 18 577
Zhanpeng Huang 171 0.5× 361 1.1× 71 0.6× 48 0.6× 200 2.8× 38 590
Abdullah Alshahrani 186 0.6× 181 0.5× 102 0.9× 66 0.8× 30 0.4× 34 508
Hongyu Li 182 0.5× 304 0.9× 88 0.8× 29 0.3× 26 0.4× 13 508
Francesco Furfari 209 0.6× 256 0.8× 265 2.3× 33 0.4× 44 0.6× 38 583
Gurminder Singh 154 0.5× 194 0.6× 39 0.3× 59 0.7× 146 2.1× 37 591
Joseph Newman 128 0.4× 353 1.1× 209 1.8× 27 0.3× 164 2.3× 13 576
Fumio Kishino 95 0.3× 384 1.2× 57 0.5× 57 0.7× 244 3.4× 12 630
Sugang Li 247 0.7× 130 0.4× 153 1.3× 154 1.8× 52 0.7× 18 593
Tomás Sánchez López 343 1.0× 79 0.2× 149 1.3× 74 0.9× 21 0.3× 22 659
Teemu Leppänen 447 1.3× 118 0.4× 121 1.0× 196 2.3× 34 0.5× 33 654

Countries citing papers authored by Pei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Pei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Ren

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