Long Wang

43.7k total citations · 15 hit papers
1.2k papers, 33.1k citations indexed

About

Long Wang is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Sociology and Political Science. According to data from OpenAlex, Long Wang has authored 1.2k papers receiving a total of 33.1k indexed citations (citations by other indexed papers that have themselves been cited), including 303 papers in Computer Networks and Communications, 230 papers in Control and Systems Engineering and 186 papers in Sociology and Political Science. Recurrent topics in Long Wang's work include Distributed Control Multi-Agent Systems (231 papers), Evolutionary Game Theory and Cooperation (183 papers) and Stability and Control of Uncertain Systems (165 papers). Long Wang is often cited by papers focused on Distributed Control Multi-Agent Systems (231 papers), Evolutionary Game Theory and Cooperation (183 papers) and Stability and Control of Uncertain Systems (165 papers). Long Wang collaborates with scholars based in China, United States and Canada. Long Wang's co-authors include Guangming Xie, Feng Xiao, Feng Fu, Yuanshi Zheng, Xiaojie Chen, Tianguang Chu, Yuan Sun, Yanping Gao, Te Wu and Zhang Li and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Long Wang

1.1k papers receiving 32.3k citations

Hit Papers

Finite-Time Consensus Problems for Networks of Dynamic Ag... 2006 2026 2012 2019 2010 2009 2016 2008 2008 250 500 750

Peers

Long Wang
Comparison fields: 5 of 227
  • Computer Networks and Communications 15.0k
  • Control and Systems Engineering 8.8k
  • Sociology and Political Science 6.5k
  • Public Health, Environmental and Occupational Health 5.0k
  • Genetics 3.8k
Replace Matjaž Perc with:
Matjaž Perc Slovenia
Zhen Wang China
Anil K. Jain United States
Guanrong Chen Hong Kong
Qiang Yang Hong Kong
Demis Hassabis United Kingdom
Yamir Moreno Spain
Marco Dorigo Belgium
Vito Latora Italy
Stefano Boccaletti Italy
Matjaž Perc Slovenia View profile →
Citations per field, relative to Long Wang
Long Wang · 1×
Citations per year, relative to Long Wang
Long Wang · 1×

Countries citing papers authored by Long Wang

Since Specialization
Citations

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

Fields of papers citing papers by Long Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Long Wang. A scholar is included among the top collaborators of Long Wang 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 Long Wang. Long Wang 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 2
2 5
3 0
4 1
5 4
6 0
7 11
8 4
9 3
10 0
11 1
12 8
13 5
14 2
15 1
16 12
17 4
18 65
19 3
20 49

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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