Wang Peng

780 total citations · 1 hit paper
12 papers, 524 citations indexed

About

Wang Peng is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wang Peng has authored 12 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 6 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wang Peng's work include Distributed and Parallel Computing Systems (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Cloud Computing and Resource Management (2 papers). Wang Peng is often cited by papers focused on Distributed and Parallel Computing Systems (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Cloud Computing and Resource Management (2 papers). Wang Peng collaborates with scholars based in China, Australia and South Korea. Wang Peng's co-authors include Hung-Lin Chi, Xiangyu Wang, Jun Wang, Peng Wu, Shuqiao Chen, Yuxiang Hu, Hua Peng, Huang Yan, Dongling Zhang and Kun Li and has published in prestigious journals such as International Journal of Environmental Research and Public Health, IEEE Transactions on Vehicular Technology and Computer.

In The Last Decade

Wang Peng

12 papers receiving 497 citations

Hit Papers

A Critical Review of the Use of Virtual Reality in Constr... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wang Peng China 3 259 183 105 85 80 12 524
Quang Tuan Le South Korea 9 270 1.0× 175 1.0× 213 2.0× 99 1.2× 184 2.3× 10 754
Ricardo Eiris United States 14 247 1.0× 151 0.8× 148 1.4× 105 1.2× 201 2.5× 41 666
Daniel Paes New Zealand 12 244 0.9× 146 0.8× 135 1.3× 100 1.2× 111 1.4× 33 526
Dragana Nikolić United Kingdom 13 174 0.7× 128 0.7× 150 1.4× 86 1.0× 27 0.3× 39 432
Fadi Castronovo United States 12 178 0.7× 137 0.7× 134 1.3× 78 0.9× 40 0.5× 32 397
Fábio Matoseiro Dinis Portugal 9 117 0.5× 148 0.8× 200 1.9× 117 1.4× 29 0.4× 13 401
Hai Chien Pham South Korea 12 103 0.4× 82 0.4× 120 1.1× 40 0.5× 100 1.3× 22 481
Akeem Pedro South Korea 14 277 1.1× 179 1.0× 273 2.6× 110 1.3× 220 2.8× 24 922
Alcı́nia Zita Sampaio Portugal 13 152 0.6× 148 0.8× 406 3.9× 280 3.3× 43 0.5× 89 721
Ahmad Hadavi United States 10 156 0.6× 160 0.9× 325 3.1× 171 2.0× 66 0.8× 20 627

Countries citing papers authored by Wang Peng

Since Specialization
Citations

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

Fields of papers citing papers by Wang Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Peng. A scholar is included among the top collaborators of Wang Peng 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 Wang Peng. Wang Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Peng, Wang. (2021). Digital multimedia signal processing via AIoT and its application in smart home. Internet Technology Letters. 6(5). 1 indexed citations
2.
Peng, Hua, et al.. (2019). Iterative Processing Structure for the Single-Channel Mixture of Digital-Modulated Adjacent-Frequency Source Signals. IEEE Transactions on Vehicular Technology. 69(2). 1639–1650. 2 indexed citations
3.
Peng, Wang, Peng Wu, Jun Wang, Hung-Lin Chi, & Xiangyu Wang. (2018). A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training. International Journal of Environmental Research and Public Health. 15(6). 1204–1204. 504 indexed citations breakdown →
4.
Qiang, Baohua, et al.. (2016). JMS Scheduling Model Design and Implementation Based on Priority Control in the SOA System. 14. 214–218. 2 indexed citations
5.
Zhang, Xiaotong, et al.. (2016). A energy-oriented distributed TDMA scheduling algorithm for wireless sensor networks. 36. 107–110. 2 indexed citations
6.
Peng, Wang, Julong Lan, Yuxiang Hu, & Shuqiao Chen. (2015). Towards locality-aware DHT for fast mapping service in future Internet. Computer Communications. 66. 14–24. 3 indexed citations
7.
Peng, Wang, et al.. (2014). Load Balancing Degree First Algorithm on Phase Space for Cloud Computing Cluster. 51(5). 1095. 4 indexed citations
8.
9.
Peng, Wang, et al.. (2008). Grey Relation Degree Analysis for the Facility's Location of Logistics Distribution Network. 26. 615–619. 2 indexed citations
10.
Zhang, Dan, et al.. (2008). Wasp Algorithm for Dynamic Scheduling Based on Manufacturing Grid. 83–87. 1 indexed citations
11.
Peng, Wang, et al.. (2004). A new RPR fairness algorithm based on deficit round robin scheduling algorithm. 698–702 Vol.1. 1 indexed citations
12.
Chin, Y.H., et al.. (1975). Special Feature: An Automated Chinese Telephone Directory. Computer. 8(5). 49–54. 1 indexed citations

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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