Zhen Peng

1.2k total citations · 1 hit paper
30 papers, 730 citations indexed

About

Zhen Peng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhen Peng has authored 30 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Zhen Peng's work include Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (9 papers) and Network Security and Intrusion Detection (5 papers). Zhen Peng is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (9 papers) and Network Security and Intrusion Detection (5 papers). Zhen Peng collaborates with scholars based in China, United States and Australia. Zhen Peng's co-authors include Minnan Luo, Qinghua Zheng, Wenbing Huang, Junzhou Huang, Yu Rong, Tingyang Xu, Jundong Li, Huan Liu, Tian Wang and Yiqiao Cai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and Neurocomputing.

In The Last Decade

Zhen Peng

25 papers receiving 719 citations

Hit Papers

Graph Representation Learning via Graphical Mutual Inform... 2020 2026 2022 2024 2020 100 200 300
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. Graph Representation Learning via Graphical Mutual Information Maximization
    2020 339 citations Zhen Peng, Wenbing Huang 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
Zhen Peng China 11 530 246 179 179 99 30 730
Jiawei Zhang China 17 372 0.7× 183 0.7× 309 1.7× 74 0.4× 104 1.1× 53 663
Maurizio Patrignani Italy 13 170 0.3× 335 1.4× 86 0.5× 195 1.1× 213 2.2× 80 727
Xiaoxiong Zhong China 13 181 0.3× 352 1.4× 64 0.4× 69 0.4× 47 0.5× 66 563
Bentian Li China 11 297 0.6× 229 0.9× 69 0.4× 93 0.5× 29 0.3× 18 500
Qiang-Sheng Hua China 18 206 0.4× 633 2.6× 148 0.8× 85 0.5× 183 1.8× 61 913
Xupeng Miao China 16 415 0.8× 129 0.5× 91 0.5× 37 0.2× 257 2.6× 44 617
Ronghui Hou China 14 213 0.4× 375 1.5× 74 0.4× 98 0.5× 56 0.6× 74 741

Countries citing papers authored by Zhen Peng

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Peng. A scholar is included among the top collaborators of Zhen 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 Zhen Peng. Zhen 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.
2.
Peng, Zhen, Yunfan Wang, Qiang Lin, Bo Dong, & Chao Shen. (2025). When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute. Neural Networks. 185. 107194–107194. 1 indexed citations
3.
Peng, Zhen, et al.. (2024). Learning dynamic graph representations through timespan view contrasts. Neural Networks. 176. 106384–106384. 1 indexed citations
4.
Luo, Minnan, et al.. (2023). Heterogeneous graph attention network with motif clique. Neurocomputing. 555. 126608–126608. 4 indexed citations
5.
6.
Zheng, Qinghua, Zhen Peng, Linchao Zhu, et al.. (2023). Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks. IEEE Transactions on Knowledge and Data Engineering. 35(9). 9715–9727. 3 indexed citations
7.
Wang, Qihan, Zhen Peng, Bin Ren, Jie Chen, & Robert G. Edwards. (2022). MemHC: An Optimized GPU Memory Management Framework for Accelerating Many-body Correlation. ACM Transactions on Architecture and Code Optimization. 19(2). 1–26. 6 indexed citations
8.
Peng, Ivy, et al.. (2020). ATMem: adaptive data placement in graph applications on heterogeneous memories. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 293–304. 22 indexed citations
9.
Lin, Zhongping, Minnan Luo, Zhen Peng, Jundong Li, & Qinghua Zheng. (2020). Nonlinear feature selection on attributed networks. Neurocomputing. 410. 161–173. 7 indexed citations
10.
Peng, Zhen, Wenbing Huang, Minnan Luo, et al.. (2020). Graph Representation Learning via Graphical Mutual Information Maximization. 259–270. 339 indexed citations breakdown →
11.
Jin, Ruoming, et al.. (2020). Parallelizing pruned landmark labeling. 1–13. 5 indexed citations
12.
Wang, Tian, Zhen Peng, Sheng Wen, et al.. (2019). A Survey of Fog Computing in Wireless Sensor Networks: Concepts, Frameworks, Applications and Issues.. Swinburne Research Bank (Swinburne University of Technology). 44. 109–130. 10 indexed citations
13.
Peng, Zhen, Alexander M. Powell, Bo Wu, Tekin Biçer, & Bin Ren. (2018). Graphphi. 1–14. 14 indexed citations
14.
Peng, Zhen, Wenzheng Xu, Junbin Liang, et al.. (2017). Cascading Target Tracking Control in Wireless Camera Sensor and Actuator Networks. Asian Journal of Control. 19(4). 1350–1364. 5 indexed citations
15.
Peng, Zhen, Tim Genewein, Felix Leibfried, & Daniel A. Braun. (2017). An information-theoretic on-line update principle for perception-action coupling. 7. 789–796. 3 indexed citations
16.
Wang, Tian, Zhen Peng, Junbin Liang, et al.. (2016). Following Targets for Mobile Tracking in Wireless Sensor Networks. ACM Transactions on Sensor Networks. 12(4). 1–24. 49 indexed citations
17.
Peng, Zhen, Tim Genewein, & Daniel A. Braun. (2014). Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences. Frontiers in Human Neuroscience. 8. 17 indexed citations
18.
Wang, Tian, Zhen Peng, Yonghong Chen, Yiqiao Cai, & Hui Tian. (2014). Continuous tracking for mobile targets with mobility nodes in WSNs. 42. 261–268. 9 indexed citations
19.
Peng, Zhen. (2012). Efficient matching of robust features for embedded SLAM. OPUS Publication Server of the University of Stuttgart (University of Stuttgart). 4 indexed citations
20.
Peng, Zhen, Bingru Yang, & Lifeng Wu. (2011). The Construction of Fuzzy Cognitive Map Classification Model based on Relational Database. International Journal of Digital Content Technology and its Applications. 5(5). 33–41. 2 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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