Chenquan Gan

2.8k citations
87 papers · 2.0k indexed · 1 hit paper · h-index 22
Topics
Complex Network Analysis Techniques (26 papers)Opinion Dynamics and Social Influence (18 papers)Network Security and Intrusion Detection (16 papers)
Partner nations
ChinaAustraliaIndia

In The Last Decade

Chenquan Gan

81 papers receiving 1.9k citations

Hit Papers

Blockchain-enabled Federated Learning: A Survey2022202620232024202250100150

Peers

Chenquan Gan
Comparison fields: 5 of 113
  • Artificial Intelligence 907
  • Statistical and Nonlinear Physics 457
  • Computer Networks and Communications 418
  • Public Health, Environmental and Occupational Health 293
  • Information Systems 260
Replace Peican Zhu with:
Peican Zhu China
Xiaoming Wang China
Bo Yang China
Chao Luo China
Zhiming Zheng China
Duanbing Chen China
Xiaoyang Liu China
Shanshan Feng China
Aritra Ghosh United States
Mohammad Masoud Javidi Iran
Chenquan Gan relative to Peican Zhu China Peican Zhu's profile →
Citations per field
00.5×2.6×
Peican Zhu · 1×
Citations per year

Countries citing papers authored by Chenquan Gan

Since Specialization
Citations

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

Fields of papers citing papers by Chenquan Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenquan Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Chenquan Gan. A scholar is included among the top collaborators of Chenquan Gan 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 Chenquan Gan. Chenquan Gan 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
#WorkIndexed citations
1 13
2 0
3 1
4 0
5 9
6 3
7 11
8 11
9 7
10 4
11 3
12 12
13 2
14 20
15 34
16 17
17 18
18 11
19 37
20 22

About Chenquan Gan

Chenquan Gan is a scholar working on Statistical and Nonlinear Physics, Computational Mathematics and Signal Processing, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (26 papers), Opinion Dynamics and Social Influence (18 papers) and Network Security and Intrusion Detection (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (457 citations), Artificial Intelligence (907 citations) and Modeling and Simulation (114 citations). Chenquan Gan has collaborated with scholars based in China, Australia and India. Frequent co-authors include Zufan Zhang, Qingyi Zhu, Xiaofan Yang, Yong Xiang, Chun Wang, Wanping Liu, Yang Zou, Mengjun Wang, Shaohui Sun and Xulong Zhang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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