Jianjun Jiao

120 papers receiving 2.6k citations

Jianjun Jiao's Hit Papers

An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization 2017 · 250 citations
2500+3+6Years since publication50100150200250

Peers

Jianjun Jiao
Comparison fields: 5 of 127
  • Modeling and Simulation 522
  • Public Health, Environmental and Occupational Health 1.0k
  • Artificial Intelligence 957
  • Computational Theory and Mathematics 363
  • Genetics 564
Replace Asier Ibeas with:
Asier Ibeas Spain
Ranchao Wu China
Grienggrai Rajchakit Thailand
Frédéric Mazenc France
Chun Yin China
Manoj Thakur India
Yi Zhao China
Meshal Shutaywi Saudi Arabia
Denis Efimov France
Lihong Huang China
Jianjun Jiao relative to Asier Ibeas Spain Asier Ibeas's profile →
Citations per field
00.5×7.4×
Asier Ibeas · 1×
Citations per year

Countries citing papers authored by Jianjun Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019318
2
An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization
Hit paper breakdown →
2017250
3 2018182
4 2018148
5 2019128
6 202090
7 201683
8 200871
9 202171
10 200663
11 202261
12 201458
13 201154
14 201951
15 202047
16 200646
17 202245
18 201942
19 200742
20 200839

About Jianjun Jiao

Jianjun Jiao is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Modeling and Simulation, Artificial Intelligence and Sociology and Political Science, having authored 128 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (83 papers), Evolution and Genetic Dynamics (44 papers), Mathematical Biology Tumor Growth (18 papers), Evolutionary Game Theory and Cooperation (16 papers), Metaheuristic Optimization Algorithms Research (15 papers), Nonlinear Differential Equations Analysis (14 papers), Fractional Differential Equations Solutions (13 papers) and Advanced Multi-Objective Optimization Algorithms (10 papers). The work is most often cited by research in Modeling and Simulation (522 citations), Public Health, Environmental and Occupational Health (1.0k citations), Artificial Intelligence (957 citations), Computational Theory and Mathematics (363 citations) and Genetics (564 citations). Jianjun Jiao has collaborated with scholars based in China, Thailand and United Kingdom. Frequent co-authors include Wen Long, Shaohong Cai, Lansun Chen, Ximing Liang, Mingzhu Tang, Ming Xu, Tiebin Wu, Xinzhu Meng, Yongli Cai and Yuting Liu. Their work appears in journals such as Advances in Difference Equations, Chaos Solitons & Fractals, International Journal of Biomathematics, Applied Mathematics and Computation and Nonlinear Analysis Real World 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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