Meng Hu

1.4k citations
77 papers · 813 · h-index 14

Impact in

Papers in

Meng Hu

71 papers receiving 797 citations

Peers

Meng Hu
Comparison fields: 5 of 125
  • Computational Theory and Mathematics 280
  • Building and Construction 110
  • Information Systems 155
  • Artificial Intelligence 206
  • Transportation 38
Replace Pedro J. Zufiria with:
Pedro J. Zufiria Spain
José R. Dorronsoro Spain
Liang Sun China
H. Ichihashi Japan
M. Martínez Spain
Russell C. Eberhart United States
Roy W. Dobbins United States
Abdellah Salhi United Kingdom
Lorenzo Stella Belgium
Meng Hu relative to Pedro J. Zufiria Spain Pedro J. Zufiria's profile →
Citations per field
00.5×5.4×
Pedro J. Zufiria · 1×
Citations per year

Countries citing papers authored by Meng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 201975
3 202170
4 201467
5 201954
6 201548
7 202138
8 201931
9 201825
10 201625
11 202323
12 202415
13 202115
14 201214
15 201413
16 202211
17
Triple positive solutions for an impulsive dynamic equation with integral boundary condition on time scales
201310
18 201110
19 201210
20
Rolling Bearing Fault Diagnosis Method Based on LMD Multi-scale Entropy and Probabilistic Neural Network
20169

About Meng Hu

Meng Hu is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Artificial Intelligence, Numerical Analysis and Control and Systems Engineering, having authored 77 papers that have together received 813 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (16 papers), Rough Sets and Fuzzy Logic (13 papers), Differential Equations and Numerical Methods (9 papers), Data Mining Algorithms and Applications (8 papers), Fractional Differential Equations Solutions (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Neural Networks and Applications (4 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Computational Theory and Mathematics (280 citations), Building and Construction (110 citations), Information Systems (155 citations), Artificial Intelligence (206 citations) and Transportation (38 citations). Meng Hu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yanting Guo, Eric C.C. Tsang, Weihua Xu, Degang Chen, Jiyao An, Jiawei Zhan, Werner Brack, Weihong Chen, Jan Liebetrau and Hans H. Richnow. Their work appears in journals such as Knowledge-Based Systems, Advances in Difference Equations, Information Sciences, IEEE Access and Analytical and Bioanalytical Chemistry.

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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