Chenbo Fu

35 papers receiving 710 citations

Peers

Chenbo Fu
Comparison fields: 5 of 78
  • Statistical and Nonlinear Physics 359
  • Computational Mathematics 10
  • Computer Networks and Communications 252
  • Artificial Intelligence 258
  • Signal Processing 65
Replace Mehrdad Farajtabar with:
Mehrdad Farajtabar United States
H. Vicky Zhao China
Lixin Han China
Zhen Peng China
Zhixiao Wang China
Xiaofei Zhu China
Masoud Asadpour Iran
Kaize Ding United States
Chenbo Fu relative to Mehrdad Farajtabar United States Mehrdad Farajtabar's profile →
Citations per field
00.5×3.8×
Mehrdad Farajtabar · 1×
Citations per year

Countries citing papers authored by Chenbo Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chenbo Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019125
2 2017109
3 201878
4 201753
5 201940
6 201533
7 201327
8 201426
9 201223
10 201223
11 201919
12 201816
13 201916
14 201816
15 201813
16 202312
17 201412
18 201111
19 202111
20 202211

About Chenbo Fu

Chenbo Fu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems, Artificial Intelligence and Sociology and Political Science, having authored 37 papers that have together received 725 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (11 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Bioinformatics and Genomic Networks (5 papers), Software Engineering Research (4 papers), Neural Networks Stability and Synchronization (4 papers), Advanced Graph Neural Networks (3 papers) and Expert finding and Q&A systems (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (359 citations), Computational Mathematics (10 citations), Computer Networks and Communications (252 citations), Artificial Intelligence (258 citations) and Signal Processing (65 citations). Chenbo Fu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qi Xuan, Jinyin Chen, Zhefu Wu, Xingang Wang, Yun Xiang, Vladimir Filkov, Qingpeng Zhang, Xuanheng Xu, Jian Zhang and Jianan Li. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Transactions on Network Science and Engineering, Physica A Statistical Mechanics and its Applications, IEEE Transactions on Systems Man and Cybernetics Systems and Applied 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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