Haipeng Peng

279 total papers · 7.8k total citations
232 papers, 5.9k citations indexed

About

Haipeng Peng is a scholar working on Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Haipeng Peng has authored 232 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Computer Networks and Communications, 74 papers in Artificial Intelligence and 70 papers in Statistical and Nonlinear Physics. Recurrent topics in Haipeng Peng's work include Neural Networks Stability and Synchronization (64 papers), Nonlinear Dynamics and Pattern Formation (46 papers) and Sparse and Compressive Sensing Techniques (31 papers). Haipeng Peng is often cited by papers focused on Neural Networks Stability and Synchronization (64 papers), Nonlinear Dynamics and Pattern Formation (46 papers) and Sparse and Compressive Sensing Techniques (31 papers). Haipeng Peng collaborates with scholars based in China, Germany and United States. Haipeng Peng's co-authors include Yixian Yang, Lixiang Li, Lixiang Li, Jinghua Xiao, Jiejin Cai, Lixiang Li, Chuan Chen, Hui Zhao, Xiaoqian Ma and Mingwen Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Haipeng Peng

217 papers receiving 5.7k citations

Hit Papers

A new fixed-time stabilit... 2020 2026 2022 2024 2020 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
Haipeng Peng 2.7k 1.7k 1.7k 1.5k 753 232 5.9k
Chunguang Li 2.7k 1.0× 789 0.5× 2.1k 1.3× 1.3k 0.9× 1.1k 1.5× 199 6.2k
K.S. Tang 2.5k 0.9× 1.5k 0.9× 2.6k 1.5× 2.2k 1.5× 1.5k 2.0× 229 8.7k
Devavrat Shah 6.7k 2.4× 3.1k 1.9× 1.1k 0.7× 1.8k 1.3× 281 0.4× 239 10.1k
Yixian Yang 4.2k 1.5× 1.7k 1.0× 1.6k 1.0× 5.2k 3.6× 1.3k 1.7× 524 10.6k
K.F. Man 862 0.3× 2.0k 1.2× 616 0.4× 1.9k 1.3× 608 0.8× 187 6.5k
Nick Duffield 6.9k 2.5× 1.7k 1.0× 947 0.6× 3.0k 2.1× 436 0.6× 212 8.7k
Petros Faloutsos 2.3k 0.8× 332 0.2× 2.7k 1.6× 1.0k 0.7× 1.4k 1.9× 102 6.5k
Alejandro Ribeiro 5.6k 2.0× 3.0k 1.8× 1.0k 0.6× 4.1k 2.8× 685 0.9× 384 9.8k
Vikram Krishnamurthy 2.5k 0.9× 1.9k 1.2× 565 0.3× 2.2k 1.5× 256 0.3× 401 6.3k
Mark Coates 2.4k 0.9× 989 0.6× 391 0.2× 2.0k 1.4× 343 0.5× 185 4.8k

Countries citing papers authored by Haipeng Peng

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Peng

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