Pei‐Yu Chen

1.5k total citations · 1 hit paper
43 papers, 1.1k citations indexed

About

Pei‐Yu Chen is a scholar working on Marketing, Signal Processing and Strategy and Management. According to data from OpenAlex, Pei‐Yu Chen has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Marketing, 11 papers in Signal Processing and 7 papers in Strategy and Management. Recurrent topics in Pei‐Yu Chen's work include Digital Filter Design and Implementation (9 papers), Consumer Market Behavior and Pricing (8 papers) and Digital Platforms and Economics (6 papers). Pei‐Yu Chen is often cited by papers focused on Digital Filter Design and Implementation (9 papers), Consumer Market Behavior and Pricing (8 papers) and Digital Platforms and Economics (6 papers). Pei‐Yu Chen collaborates with scholars based in United States, Taiwan and China. Pei‐Yu Chen's co-authors include Lorin M. Hitt, Yili Hong, Ying Liu, Chuan Qin, Chin‐Chen Chang, Tridas Mukhopadhyay, Lan-Da Van, Byung Cho Kim, I‐Hung Khoo and Chin‐Teng Lin and has published in prestigious journals such as Management Science, Chemical Engineering Journal and Journal of Materials Chemistry A.

In The Last Decade

Pei‐Yu Chen

38 papers receiving 973 citations

Hit Papers

Measuring Switching Costs and the Determinants of Custome... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers

Pei‐Yu Chen
Comparison fields: 5 of 101
  • Sociology and Political Science 384
  • Marketing 355
  • Information Systems and Management 303
  • Organizational Behavior and Human Resource Management 245
  • Strategy and Management 214
Replace Skander Essegaier with:
Skander Essegaier United States
Jeff Baker United States
Yi-Cheng Ku Taiwan
Michel Ballings Belgium
Patrali Chatterjee United States
Nabeel Al-Qirim United Arab Emirates
Mi Zhou China
Pirkko Walden Finland
Key Pousttchi Germany
Zixing Shen United States
Skander Essegaier United States View profile →
Citations per field, relative to Pei‐Yu Chen
Pei‐Yu Chen · 1×
Citations per year, relative to Pei‐Yu Chen
Pei‐Yu Chen · 1×

Countries citing papers authored by Pei‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei‐Yu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Yu Chen. A scholar is included among the top collaborators of Pei‐Yu Chen 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 Pei‐Yu Chen. Pei‐Yu Chen 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
# Work Indexed citations
1 0
2 3
3 1
4 2
5 0
6 1
7 11
8 8
9 2
10 1
11
Biomimetic Radar Target Recognition Based on Hypersausage Chains
5
12 3
13 1
14 2
15 121
16 5
17 46
18 6
19 7
20 34

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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2026