Xiao-Min Hu

2.0k citations
77 papers · 1.4k indexed · h-index 18
Topics
Metaheuristic Optimization Algorithms Research (33 papers)Advanced Multi-Objective Optimization Algorithms (19 papers)Evolutionary Algorithms and Applications (11 papers)

In The Last Decade

Xiao-Min Hu

71 papers receiving 1.4k citations

Peers

Xiao-Min Hu
Comparison fields: 5 of 135
  • Artificial Intelligence 472
  • Computer Networks and Communications 242
  • Computational Theory and Mathematics 231
  • General Health Professions 203
  • Electrical and Electronic Engineering 170
Replace Mark Wallace with:
Mark Wallace Australia
Mahmood M. Salih Iraq
Ellen J. Bass United States
Peter Lucas Netherlands
Mohamed A. Ahmed Iraq
David Gotz United States
Simon J. E. Taylor United Kingdom
Manfred Huber United States
S. Jiménez‐Fernández Spain
Sharan Srinivas United States
Xiao-Min Hu relative to Mark Wallace Australia Mark Wallace's profile →
Citations per field
00.5×2.9×
Mark Wallace · 1×
Citations per year

Countries citing papers authored by Xiao-Min Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Min Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Min Hu. 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 Xiao-Min Hu. The network helps show where Xiao-Min Hu may publish in the future.

Co-authorship network of co-authors of Xiao-Min Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao-Min Hu. A scholar is included among the top collaborators of Xiao-Min Hu 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 Xiao-Min Hu. Xiao-Min Hu 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 1
3 0
4 1
5 4
6 1
7 0
8 5
9 1
10 11
11 4
12 14
13 8
14 13
15 235
16 119
17 1
18 7
19 54
20 99

About Xiao-Min Hu

Xiao-Min Hu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (33 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Evolutionary Algorithms and Applications (11 papers). The work is most often cited by research in Human Factors and Ergonomics (42 citations), Industrial and Manufacturing Engineering (156 citations) and Artificial Intelligence (472 citations). Xiao-Min Hu has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Jun Zhang, Wei–Neng Chen, Yun Li, Jinghui Zhong, Yuantao Hao, Yong Lü, Xiaodong Zhuang, Li-Fen Feng, Xiaoliang Huang and Long Chen. Their work appears in journals such as PLoS ONE, Atmospheric Environment 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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