Peiying Zhang

340 total papers · 6.0k total citations
235 papers, 4.0k citations indexed

About

Peiying Zhang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Peiying Zhang has authored 235 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Computer Networks and Communications, 60 papers in Electrical and Electronic Engineering and 57 papers in Artificial Intelligence. Recurrent topics in Peiying Zhang's work include Software-Defined Networks and 5G (84 papers), IoT and Edge/Fog Computing (54 papers) and Network Security and Intrusion Detection (34 papers). Peiying Zhang is often cited by papers focused on Software-Defined Networks and 5G (84 papers), IoT and Edge/Fog Computing (54 papers) and Network Security and Intrusion Detection (34 papers). Peiying Zhang collaborates with scholars based in China, India and Taiwan. Peiying Zhang's co-authors include Haipeng Yao, Chunxiao Jiang, Neeraj Kumar, Chao Wang, Yunjie Liu, Maozhen Li, Ning Chen, Zhu Han, Sheng Wu and Jingjing Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Carbon.

In The Last Decade

Peiying Zhang

201 papers receiving 4.0k citations

Hit Papers

Highly Reversible Zinc An... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Peiying Zhang 2.4k 1.4k 972 581 491 235 4.0k
Yulei Wu 2.6k 1.1× 2.0k 1.5× 1.4k 1.5× 1.0k 1.8× 198 0.4× 201 5.2k
Xiaojie Wang 3.8k 1.6× 2.8k 2.1× 1.4k 1.4× 1.4k 2.4× 680 1.4× 207 7.2k
Hongyang Du 1.4k 0.6× 1.6k 1.2× 909 0.9× 478 0.8× 820 1.7× 192 4.4k
Junliang Chen 3.1k 1.3× 1.4k 1.1× 720 0.7× 1.7k 2.9× 160 0.3× 407 5.8k
Xiaofei Wang 4.9k 2.0× 2.2k 1.6× 1.8k 1.8× 1.3k 2.3× 500 1.0× 326 7.7k
Yunjie Liu 3.9k 1.6× 1.3k 1.0× 821 0.8× 1.5k 2.5× 538 1.1× 293 5.6k
Changle Li 2.3k 1.0× 2.1k 1.6× 625 0.6× 637 1.1× 445 0.9× 302 5.1k
Lexi Xu 1.2k 0.5× 1.9k 1.4× 536 0.6× 448 0.8× 577 1.2× 214 3.0k
Xavier Costa‐Pérez 4.9k 2.0× 3.4k 2.5× 474 0.5× 301 0.5× 332 0.7× 206 6.0k
Ruidong Li 1.9k 0.8× 978 0.7× 908 0.9× 631 1.1× 474 1.0× 252 3.6k

Countries citing papers authored by Peiying Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Peiying Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiying Zhang

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