Peng Chen

4.6k citations
250 papers · 2.8k · 2 hit papers · h-index 28

Impact in

Papers in

Peng Chen

216 papers receiving 2.7k citations

Peng Chen's Hit Papers

Effectively detecting and diagnosing distributed multivariate time series anomalies via Unsupervised Federated Hypernetwork 2025 · 28 citations
280+2+4Years since publication50100150200

Peers

Peng Chen
Comparison fields: 5 of 177
  • Computer Networks and Communications 717
  • Artificial Intelligence 694
  • Signal Processing 221
  • Information Systems 415
  • Software 59
Replace Raghvendra Kumar with:
Raghvendra Kumar India
Shah Nazir Pakistan
Janmenjoy Nayak India
Valentina Emilia Bălaş Romania
Rubén González Crespo Spain
Aida Mustapha Malaysia
Miriam A. M. Capretz Canada
Emilio Corchado Spain
Tarik A. Rashid Iraq
Peng Chen relative to Raghvendra Kumar India Raghvendra Kumar's profile →
Citations per field
00.5×10×13×
Raghvendra Kumar · 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 250 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 →
2019225
2 2017150
3 2017115
4 201793
5 202293
6 201990
7 201868
8 202368
9 202263
10 201655
11
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
202154
12 201954
13 200247
14 201945
15 202044
16 201744
17 202442
18 202241
19 202441
20 201539

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 250 papers that have together received 2.8k 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), Software System Performance and Reliability (13 papers), Time Series Analysis and Forecasting (12 papers), Caching and Content Delivery (10 papers) and Advanced MIMO Systems Optimization (10 papers). The work is most often cited by research in Computer Networks and Communications (717 citations), Artificial Intelligence (694 citations), Signal Processing (221 citations), Information Systems (415 citations) and Software (59 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, Haitao Liu, Zhenggang He, Zhaoxia Guo, Yawen Li, Hong Xie and Yuandou Wang. Their work appears in journals such as Future Generation Computer Systems, IEEE Access, Journal of Cloud Computing Advances Systems and Applications, Proceedings of the VLDB Endowment and International Journal of Computational Intelligence Systems.

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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