Haipeng Peng

7.8k total citations · 1 hit paper
233 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 233 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, 75 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

219 papers receiving 5.7k citations

Hit Papers

A new fixed-time stability theorem and its application to... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks
    2020 201 citations Lixiang Li, Haipeng Peng et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haipeng Peng China 44 2.8k 1.7k 1.7k 1.5k 768 233 5.9k
Chunguang Li China 38 2.7k 1.0× 795 0.5× 2.1k 1.3× 1.3k 0.9× 1.1k 1.5× 201 6.2k
K.S. Tang Hong Kong 43 2.5k 0.9× 1.6k 0.9× 2.6k 1.5× 2.2k 1.5× 1.5k 1.9× 230 8.7k
Yixian Yang China 54 4.2k 1.5× 1.7k 1.0× 1.7k 1.0× 5.2k 3.6× 1.3k 1.7× 526 10.7k
Alejandro Ribeiro United States 50 5.6k 2.0× 3.0k 1.8× 1.0k 0.6× 4.1k 2.8× 699 0.9× 385 9.9k
Petros Faloutsos United States 25 2.3k 0.8× 301 0.2× 2.7k 1.6× 1.0k 0.7× 1.4k 1.9× 101 6.4k
Mark Coates Canada 40 2.4k 0.9× 990 0.6× 393 0.2× 2.0k 1.4× 351 0.5× 185 4.8k
Matthew Roughan Australia 34 4.5k 1.6× 1.5k 0.9× 617 0.4× 1.9k 1.3× 207 0.3× 139 5.9k
Sergio Barbarossa Italy 47 6.0k 2.2× 5.9k 3.5× 484 0.3× 1.6k 1.1× 816 1.1× 274 10.4k
Patrick Thiran Switzerland 45 5.6k 2.0× 2.4k 1.4× 1.1k 0.7× 793 0.5× 205 0.3× 189 8.0k
Xiaofeng Liao China 57 5.2k 1.9× 1.4k 0.8× 3.1k 1.8× 4.0k 2.7× 4.1k 5.4× 321 11.0k

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

20 of 20 papers shown
1.
Wang, Licheng, et al.. (2025). Redactable Blockchain Supporting Rewriting Authorization Without Trapdoor Exposure. IEEE Transactions on Dependable and Secure Computing. 22(5). 4971–4987.
2.
Zhao, Dawei, et al.. (2025). An intrusion response approach based on multi-objective optimization and deep Q network for industrial control systems. Expert Systems with Applications. 272. 126664–126664. 1 indexed citations
3.
Peng, Haipeng, et al.. (2025). Sublinear smart semantic search based on knowledge graph over encrypted database. Computers & Security. 151. 104319–104319.
4.
Peng, Haipeng, et al.. (2024). MVC-RSN: A Malware Classification Method With Variant Identification Ability. IEEE Internet of Things Journal. 11(21). 35654–35668. 1 indexed citations
5.
Wang, Licheng, et al.. (2024). Redactable Blockchain Based on Decentralized Trapdoor Verifiable Delay Functions. IEEE Transactions on Information Forensics and Security. 19. 7492–7507. 4 indexed citations
6.
7.
Xu, Lijuan, et al.. (2024). TFHSVul:A Fine-Grained Hybrid Semantic Vulnerability Detection Method Based on Self-Attention Mechanism in IOT. IEEE Internet of Things Journal. 1–1. 1 indexed citations
8.
Li, Lixiang, et al.. (2024). A multi-level privacy-preserving scheme for extracting traffic images. Signal Processing. 220. 109445–109445. 5 indexed citations
9.
Xia, Chao, et al.. (2023). Multitiered Reversible Data Privacy Protection Scheme for IoT Based on Compression Sensing and Digital Watermarking. IEEE Internet of Things Journal. 11(7). 11524–11539. 7 indexed citations
10.
Peng, Haipeng, et al.. (2023). A secure and effective image encryption scheme by combining parallel compressed sensing with secret sharing scheme. Journal of Information Security and Applications. 75. 103487–103487. 19 indexed citations
11.
Li, Lixiang, et al.. (2023). Honeywords Generation Mechanism Based on Zero-Divisor Graph Sequences. IEEE Transactions on Services Computing. 16(6). 4567–4579.
12.
Wang, Lanlan, et al.. (2023). Flexible Visually Meaningful Image Transmission Scheme in WSNs Using Fourier Optical Speckle-Based Compressive Sensing. IEEE Internet of Things Journal. 11(8). 13524–13539. 1 indexed citations
13.
Peng, Haipeng, et al.. (2022). Novel Secure Data Transmission Methods for IoT Based on STP-CS With Multilevel Critical Information Concealment Function. IEEE Internet of Things Journal. 10(5). 4557–4578. 8 indexed citations
14.
Li, Lixiang, et al.. (2022). An efficient secure data transmission and node authentication scheme for wireless sensing networks. Journal of Systems Architecture. 133. 102760–102760. 5 indexed citations
15.
16.
Li, Lixiang, et al.. (2021). Impact of Sudden Global Events on Cross-Field Research Cooperation. Information. 12(1). 26–26. 2 indexed citations
17.
Li, Lixiang, et al.. (2020). Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications. Applied Sciences. 10(17). 5909–5909. 61 indexed citations
18.
Li, Lixiang, et al.. (2020). Bagged Tree Based Frame-Wise Beforehand Prediction Approach for HEVC Intra-Coding Unit Partitioning. Electronics. 9(9). 1523–1523. 5 indexed citations
19.
Li, Lixiang, et al.. (2020). Low Energy Consumption Compressed Spectrum Sensing Based on Channel Energy Reconstruction in Cognitive Radio Network. Sensors. 20(5). 1264–1264. 14 indexed citations
20.
Li, Lixiang, et al.. (2013). A Reconfigurable Logic Cell Based on a Simple Dynamical System. Mathematical Problems in Engineering. 2013. 1–7. 4 indexed citations

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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