Changjin Xu

5.2k citations
241 papers · 4.3k indexed · 1 hit paper · h-index 40
Topics
Neural Networks Stability and Synchronization (112 papers)Mathematical and Theoretical Epidemiology and Ecology Models (96 papers)Neural Networks and Applications (54 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
Partner nations
ChinaPakistanLebanon

In The Last Decade

Changjin Xu

234 papers receiving 4.2k citations

Hit Papers

Analysis and chaotic behavior of a fish farming model wit...20232026202420252023204060

Peers

Changjin Xu
Comparison fields: 5 of 118
  • Computer Networks and Communications 2.0k
  • Statistical and Nonlinear Physics 1.4k
  • Modeling and Simulation 1.4k
  • Public Health, Environmental and Occupational Health 1.3k
  • Artificial Intelligence 904
Replace Ranchao Wu with:
Ranchao Wu China
Zhidong Teng China
Chuangxia Huang China
Ivanka Stamova United States
Zhen Wang China
Fathalla A. Rihan United Arab Emirates
Jitao Sun China
George Yin United States
Junjie Wei China
Peiluan Li China
Changjin Xu relative to Ranchao Wu China Ranchao Wu's profile →
Citations per field
00.5×3.1×
Ranchao Wu · 1×
Citations per year

Countries citing papers authored by Changjin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Changjin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Changjin Xu. A scholar is included among the top collaborators of Changjin Xu 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 Changjin Xu. Changjin Xu 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 2
2 6
3 8
4 1
5 2
6 16
7 24
8 0
9 22
10 12
11 53
12 7
13 26
14 58
15 2
16 1
17 2
18 6
19 25
20 49

About Changjin Xu

Changjin Xu is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 241 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (112 papers), Mathematical and Theoretical Epidemiology and Ecology Models (96 papers) and Neural Networks and Applications (54 papers). The work is most often cited by research in Modeling and Simulation (1.4k citations), Statistical and Nonlinear Physics (1.4k citations) and Computer Networks and Communications (2.0k citations). Changjin Xu has collaborated with scholars based in China, Pakistan and Lebanon. Frequent co-authors include Peiluan Li, Maoxin Liao, Zixin Liu, Yicheng Pang, Lingyun Yao, Qiming Zhang, Chaouki Aouiti, Muhammad Farman, Xianhua Tang and Yusen Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

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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