Guosheng Hao

990 citations
34 papers · 798 indexed · 1 hit paper · h-index 8
Topics
Metaheuristic Optimization Algorithms Research (11 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Evolutionary Algorithms and Applications (7 papers)

In The Last Decade

Guosheng Hao

27 papers receiving 776 citations

Hit Papers

Chaotic Krill Herd algorithm20142026201820222014100200300400

Peers

Guosheng Hao
Comparison fields: 5 of 92
  • Artificial Intelligence 498
  • Computational Theory and Mathematics 241
  • Control and Systems Engineering 121
  • Electrical and Electronic Engineering 117
  • Computer Vision and Pattern Recognition 75
Replace Eugene Semenkin with:
Eugene Semenkin Russia
Marco A. Montes de Belgium
Souvik Kundu United States
Anan Banharnsakun Thailand
Giacomo Nannicini United States
Sen Zhao China
K.N. Krishnanand India
Bernhard Moser Austria
Cai Dai China
Kunyuan Hu China
Guosheng Hao relative to Eugene Semenkin Russia Eugene Semenkin's profile →
Citations per field
00.5×3.9×
Eugene Semenkin · 1×
Citations per year

Countries citing papers authored by Guosheng Hao

Since Specialization
Citations

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

Fields of papers citing papers by Guosheng Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guosheng Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Guosheng Hao. A scholar is included among the top collaborators of Guosheng Hao 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 Guosheng Hao. Guosheng Hao 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 0
2 0
3 1
4 2
5 0
6 1
7 0
8 21
9 0
10 7
11 12
12 1
13 16
14
Chaotic Krill Herd algorithmbreakdown →
481
15 2
16 15
17 3
18
Research and Improved Implementation of AES Algorithm in OpenSSL
3
19 3
20
Search Space Partition Based on Autonomous Genetic Algorithm and Its Application
2

About Guosheng Hao

Guosheng Hao is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics, having authored 34 papers that have together received 798 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Artificial Intelligence (498 citations), Computational Theory and Mathematics (241 citations) and Industrial and Manufacturing Engineering (57 citations). Guosheng Hao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Gai‐Ge Wang, Amir H. Gandomi, Heqi Wang, Lihong Guo, Amir H. Alavi, Dunwei Gong, Yong Zhou, Zhang Yon, Xiaoyan Sun and Feng Gu. Their work appears in journals such as IEEE Access, Information Sciences and Journal of the Franklin Institute.

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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