Pengfei Chen

796 citations
18 papers · 398 indexed · h-index 9

Impact in

    • Software System Performance and Reliability
    • Network Security and Intrusion Detection
    • Software-Defined Networks and 5G
    • IoT and Edge/Fog Computing
  • Software top 10%
    • Software Reliability and Analysis Research

Papers in

Pengfei Chen

16 papers receiving 386 citations

Peers

Pengfei Chen
Comparison fields: 5 of 43
  • Computer Networks and Communications 324
  • Software 51
  • Information Systems 158
  • Artificial Intelligence 154
  • Computer Vision and Pattern Recognition 36
Replace Ahmed Fawzi Otoom with:
Ahmed Fawzi Otoom Jordan
Yining Zhao China
L. S. S. Reddy India
Mingyang Geng China
Shigeru Imai United States
Anatoliy Gorbenko United Kingdom
Anyi Liu United States
Angang Zheng United States
Guangba Yu China
Pengfei Chen relative to Ahmed Fawzi Otoom Jordan Ahmed Fawzi Otoom's profile →
Citations per field
00.5×3.0×
Ahmed Fawzi Otoom · 1×
Citations per year

Countries citing papers authored by Pengfei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pengfei 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 Pengfei Chen Line = papers co-authored together Pengfei Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201485
2 201883
3 201758
4 201646
5 202124
6 201623
7 201721
8 201618
9 201711
10 20248
11 20177
12 20135
13 20154
14 20072
15 20212
16 20141
17 20180
18 20230

About Pengfei Chen

Pengfei Chen is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 18 papers that have together received 398 indexed citations. Recurring topics across this work include Software System Performance and Reliability (10 papers), Cloud Computing and Resource Management (6 papers), Network Security and Intrusion Detection (5 papers), Software Reliability and Analysis Research (4 papers), Software Engineering Research (4 papers), IoT and Edge/Fog Computing (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Networks and Communications (324 citations), Software (51 citations), Information Systems (158 citations), Artificial Intelligence (154 citations) and Computer Vision and Pattern Recognition (36 citations). Pengfei Chen has collaborated with scholars based in China, Taiwan and Romania. Frequent co-authors include Yong Qi, Di Hou, Jingmin Xu, Pengfei Zheng, Ping Wang, Lin Yang, Meng Ma, Yuan Wang, Tong Jia and Ying Li. Their work appears in journals such as IEEE Transactions on Services Computing, IEEE Transactions on Dependable and Secure Computing, Computers & Fluids, IEEE Transactions on Emerging Topics in Computing and Earth Science Informatics.

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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