Kun Meng
Impact in
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- Geotechnical Engineering and Underground Structures
- Geotechnical Engineering and Soil Mechanics
- Geotechnical Engineering and Soil Stabilization
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- Geotechnical Engineering and Analysis
Papers in
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- Geotechnical Engineering and Underground Structures 24
- Geotechnical Engineering and Soil Mechanics 20
- Structural Load-Bearing Analysis 9
- Co-authors
- Chunyi CuiHaijiang LiZhimeng LiangHuafu PeiChengshun XuBenlong WangDavid ChapmanChuang Lin
- Journals
- Soil Dynamics and Earthquake Engineering (5 papers)Buildings (4 papers)Discrete Applied Mathematics (3 papers)Computers and Geotechnics (3 papers)International Journal for Numerical and Analytical Methods in Geomechanics (3 papers)
- Partner nations
- ChinaUnited KingdomUzbekistan
In The Last Decade
Kun Meng
80 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Civil and Structural Engineering 858
- Safety, Risk, Reliability and Quality 91
- Computational Mechanics 193
- General Engineering 9
- Information Systems 157
Countries citing papers authored by Kun Meng
This map shows the geographic impact of Kun Meng'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 Kun Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Meng more than expected).
Fields of papers citing papers by Kun Meng
This network shows the impact of papers produced by Kun Meng. 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 Kun Meng. The network helps show where Kun Meng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 1 | |
| 16 | 2021 | 2 | |
| 17 | 2020 | 3 | |
| 18 | 2018 | 105 | |
| 19 | 2018 | 55 | |
| 20 | 2011 | 1 |
About Kun Meng
Kun Meng is a scholar working on General Engineering, Civil and Structural Engineering, Information Systems, Computer Networks and Communications and Building and Construction, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geotechnical Engineering and Underground Structures (24 papers), Geotechnical Engineering and Soil Mechanics (20 papers), Cloud Computing and Resource Management (11 papers), Fluid Dynamics Simulations and Interactions (11 papers), Structural Load-Bearing Analysis (9 papers), Structural Behavior of Reinforced Concrete (8 papers), Network Security and Intrusion Detection (8 papers) and Vibration and Dynamic Analysis (8 papers). The work is most often cited by research in Civil and Structural Engineering (858 citations), Safety, Risk, Reliability and Quality (91 citations), Computational Mechanics (193 citations), General Engineering (9 citations) and Information Systems (157 citations). Kun Meng has collaborated with scholars based in China, United Kingdom and Uzbekistan. Frequent co-authors include Chunyi Cui, Haijiang Li, Zhimeng Liang, Huafu Pei, Chengshun Xu, Benlong Wang, David Chapman, Chuang Lin, Xinjie Yu and Shiping Zhang. Their work appears in journals such as Soil Dynamics and Earthquake Engineering, Buildings, Discrete Applied Mathematics, Computers and Geotechnics and International Journal for Numerical and Analytical Methods in Geomechanics.
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.