Peng Chen

4.5k citations
247 papers · 2.7k · 2 hit papers · h-index 27

Impact in

Papers in

Peng Chen

213 papers receiving 2.6k citations

Peng Chen's Hit Papers

Effectively detecting and diagnosing distributed multivariate time series anomalies via Unsupervised Federated Hypernetwork 2025 · 21 citations
210+2+4Years since publication50100150200

Peers

Peng Chen
Comparison fields: 5 of 185
  • Computer Networks and Communications 688
  • Signal Processing 275
  • Artificial Intelligence 676
  • Information Systems 405
  • Software 57
Replace Janmenjoy Nayak with:
Janmenjoy Nayak India
Farman Ali South Korea
Raghvendra Kumar India
Joanna Hodge United Kingdom
Shah Nazir Pakistan
Valentina Emilia Bălaş Romania
Aida Mustapha Malaysia
Chen Wang China
Miriam A. M. Capretz Canada
Rubén González Crespo Spain
Peng Chen relative to Janmenjoy Nayak India Janmenjoy Nayak's profile →
Citations per field
00.5×1.6×
Janmenjoy Nayak · 1×
Citations per year

Countries citing papers authored by Peng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Peng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peng Chen Line = papers co-authored together Peng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 247 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning
Hit paper breakdown →
2019221
2 2017143
3 2017112
4 202293
5 201792
6 201988
7 201673
8 201867
9 202362
10 202256
11
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
202154
12 201954
13 201652
14 200247
15 201545
16 201944
17 202042
18 201742
19 202441
20 202237

About Peng Chen

Peng Chen is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 247 papers that have together received 2.7k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (23 papers), IoT and Edge/Fog Computing (21 papers), Cloud Computing and Resource Management (19 papers), Anomaly Detection Techniques and Applications (17 papers), Time Series Analysis and Forecasting (12 papers), Software System Performance and Reliability (12 papers), Advanced MIMO Systems Optimization (10 papers) and Caching and Content Delivery (10 papers). The work is most often cited by research in Computer Networks and Communications (688 citations), Signal Processing (275 citations), Artificial Intelligence (676 citations), Information Systems (405 citations) and Software (57 citations). Peng Chen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yunni Xia, Ruyue Xin, Wanbo Zheng, Zhiming Zhao, Zhaoxia Guo, Yawen Li, Haitao Liu, Yuandou Wang, Hong Xie and Zhen Han. Their work appears in journals such as IEEE Access, Future Generation Computer Systems, Journal of Cloud Computing Advances Systems and Applications, International Journal of Computational Intelligence Systems and Proceedings of the VLDB Endowment.

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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