Wang Hu

1.4k citations
58 papers · 884 · h-index 13

Impact in

Papers in

Wang Hu

50 papers receiving 852 citations

Peers

Wang Hu
Comparison fields: 5 of 110
  • Industrial and Manufacturing Engineering 210
  • Computational Theory and Mathematics 262
  • Management of Technology and Innovation 83
  • Artificial Intelligence 322
  • Automotive Engineering 64
Replace Tao Zhu with:
Tao Zhu China
Vahideh Hayyolalam Iran
Ali Asghar Pourhaji Kazem Iran
Andreas Beham Austria
Man Ieee Systems
Jianhua Xiao China
Hernán Aguirre Japan
P Kumar India
Kwang-Hoon Kim South Korea
Wang Hu relative to Tao Zhu China Tao Zhu's profile →
Citations per field
00.5×10×20×30×41.5×
Tao Zhu · 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 2014226
2 1994138
3 201666
4 202258
5 201956
6 201246
7 199132
8 202226
9 202226
10 200825
11 202116
12 201915
13 201012
14 202411
15 202311
16 199911
17 201111
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 884 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 Educational Technology and Assessment (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (210 citations), Computational Theory and Mathematics (262 citations), Management of Technology and Innovation (83 citations), Artificial Intelligence (322 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, Zengzhao Chen, Jiawen Li and Yuxuan Li. Their work appears in journals such as IEEE Transactions on Cybernetics, Expert Systems with Applications, IEEE Transactions on Evolutionary Computation, Information Sciences and IEEE Transactions on Systems Man and Cybernetics Systems.

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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