Wang Hu

1.4k citations
58 papers · 913 · h-index 13

Impact in

Papers in

Wang Hu

52 papers receiving 887 citations

Peers

Wang Hu
Comparison fields: 5 of 108
  • Industrial and Manufacturing Engineering 211
  • Computational Theory and Mathematics 265
  • Management of Technology and Innovation 83
  • Artificial Intelligence 327
  • Automotive Engineering 64
Replace Sergio Damas with:
Sergio Damas Spain
Andreas Beham Austria
Vahideh Hayyolalam Iran
Ali Asghar Pourhaji Kazem Iran
Hernán Aguirre Japan
Halina Kwaśnicka Poland
Jianhua Xiao China
Tao Zhu China
Ender Sevinç Türkiye
Wang Hu relative to Sergio Damas Spain Sergio Damas's profile →
Citations per field
00.5×9.1×
Sergio Damas · 1×
Citations per year

Countries citing papers authored by Wang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Wang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014227
2 1994138
3 201666
4 202262
5 201958
6 201246
7 199132
8 202231
9 202227
10 200825
11 201916
12 202116
13 202312
14 201012
15 199911
16 201111
17 202411
18 201811
19 20209
20 20137

About Wang Hu

Wang Hu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Mechanical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 913 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (12 papers), Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (6 papers), Manufacturing Process and Optimization (5 papers), Landslides and related hazards (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Recommender Systems and Techniques (3 papers) and Technology and Security Systems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (211 citations), Computational Theory and Mathematics (265 citations), Management of Technology and Innovation (83 citations), Artificial Intelligence (327 citations) and Automotive Engineering (64 citations). Wang Hu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Gary G. Yen, Zuomin Dong, Deyi Xue, Guangchun Luo, Junjie Hu, Bolin Wu, Yu Zhang, Jiawen Li, Zengzhao Chen and Yuxuan Li. Their work appears in journals such as IEEE Transactions on Cybernetics, Expert Systems with Applications, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Systems Man and Cybernetics Systems and Swarm and Evolutionary Computation.

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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