Meng-Hsi Chen

809 citations
10 papers · 602 · h-index 7

Impact in

Papers in

Meng-Hsi Chen

10 papers receiving 587 citations

Peers

Meng-Hsi Chen
Comparison fields: 5 of 24
  • Computer Networks and Communications 578
  • Information Systems 194
  • Electrical and Electronic Engineering 319
  • Computer Science Applications 22
  • Computer Vision and Pattern Recognition 62
Replace Arash Bozorgchenani with:
Arash Bozorgchenani Italy
Abdallah Jarray Canada
Sabrina Klos Germany
Ping Lang China
Tayebeh Bahreini United States
Olga Muñoz Spain
Karim Habak United States
Slađana Jošilo Sweden
Hanlin Meng China
Yajuan Qin China
Meng-Hsi Chen relative to Arash Bozorgchenani Italy Arash Bozorgchenani's profile →
Citations per field
00.5×9.3×
Arash Bozorgchenani · 1×
Citations per year

Countries citing papers authored by Meng-Hsi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meng-Hsi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Meng-Hsi 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 Meng-Hsi Chen Line = papers co-authored together Meng-Hsi Chen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2017154
2 2016139
3 2018131
4 201671
5 201559
6 201629
7 201310
8 20113
9 20113
10 20183

About Meng-Hsi Chen

Meng-Hsi Chen is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 10 papers that have together received 602 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), IoT Networks and Protocols (4 papers), Cloud Computing and Resource Management (4 papers), Age of Information Optimization (3 papers), Cooperative Communication and Network Coding (2 papers), Caching and Content Delivery (2 papers), Distributed and Parallel Computing Systems (2 papers) and Wireless Communication Security Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (578 citations), Information Systems (194 citations), Electrical and Electronic Engineering (319 citations), Computer Science Applications (22 citations) and Computer Vision and Pattern Recognition (62 citations). Meng-Hsi Chen has collaborated with scholars based in Canada, Taiwan and China. Frequent co-authors include Ben Liang, Min Dong, Y.-W. Peter Hong, Shih‐Chun Lin, Xiangyun Zhou, Zexi Yang, Zhisheng Niu, Yang Wang, Long Luo and Shizhong Xu. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Information Forensics and Security and IEEE Communications Letters.

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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