Limin Wang

1.9k citations
66 papers · 1.4k · h-index 15

Impact in

Papers in

Limin Wang

57 papers receiving 1.3k citations

Peers

Limin Wang
Comparison fields: 5 of 91
  • Computer Networks and Communications 1.0k
  • Statistical and Nonlinear Physics 135
  • Artificial Intelligence 318
  • Management Information Systems 64
  • Electrical and Electronic Engineering 390
Replace Haruhisa Takahashi with:
Haruhisa Takahashi Japan
Ahmed Elmokashfi Norway
Jing Xie China
Vinay J. Ribeiro India
Kevin L. Mills United States
Matteo Sereno Italy
Yantai Shu China
P. R. Kumar India
Yafeng Li China
Joel Sommers United States
Limin Wang relative to Haruhisa Takahashi Japan Haruhisa Takahashi's profile →
Citations per field
00.5×2.7×
Haruhisa Takahashi · 1×
Citations per year

Countries citing papers authored by Limin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Limin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002212
2
Understanding Vegas: a duality model
2002160
3
Reliability and security in the CoDeeN content distribution network
2004134
4 2002102
5 201793
6 200167
7 201756
8 200554
9 201747
10 201746
11 201942
12 202138
13 200230
14 201516
15 200716
16 200114
17 202212
18 201912
19 202012
20 201112

About Limin Wang

Limin Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Statistical and Nonlinear Physics, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (17 papers), Face and Expression Recognition (11 papers), Complex Network Analysis Techniques (9 papers), Caching and Content Delivery (9 papers), Mobile Ad Hoc Networks (8 papers), Network Traffic and Congestion Control (6 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Statistical and Nonlinear Physics (135 citations), Artificial Intelligence (318 citations), Management Information Systems (64 citations) and Electrical and Electronic Engineering (390 citations). Limin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Larry Peterson, Steven H. Low, Vivek S. Pai, Xuming Han, Fuad E. Alsaadi, Yurong Liu, Zhenjiang Zhao, Qiankun Song, Ruoming Pang and Kyong Soo Park. Their work appears in journals such as Knowledge-Based Systems, IEEE Access, Tehnicki vjesnik - Technical Gazette, Neurocomputing and Information Sciences.

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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