Ming Wang

4.7k total citations · 1 hit paper
214 papers, 3.4k citations indexed

About

Ming Wang is a scholar working on Civil and Structural Engineering, Global and Planetary Change and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Wang has authored 214 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Civil and Structural Engineering, 50 papers in Global and Planetary Change and 33 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Wang's work include Flood Risk Assessment and Management (24 papers), Landslides and related hazards (22 papers) and Infrastructure Maintenance and Monitoring (18 papers). Ming Wang is often cited by papers focused on Flood Risk Assessment and Management (24 papers), Landslides and related hazards (22 papers) and Infrastructure Maintenance and Monitoring (18 papers). Ming Wang collaborates with scholars based in China, United States and United Kingdom. Ming Wang's co-authors include Kai Liu, Qian He, Liping Liu, Peijun Shi, Ziyu Jiang, Chengwei Xing, Weihua Zhu, Tingwei Zhou, Liang Fang and Zhigang Zang and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Advanced Energy Materials.

In The Last Decade

Ming Wang

191 papers receiving 3.2k citations

Hit Papers

Forest Fire Susceptibility Modeling Using a Convolutional... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
    2019 260 citations Ming Wang, Kai Liu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Wang China 30 1.0k 775 591 407 311 214 3.4k
Thomas Oommen United States 31 694 0.7× 441 0.6× 927 1.6× 338 0.8× 514 1.7× 129 2.8k
Hongxin Chen China 35 426 0.4× 1.4k 1.8× 1.0k 1.7× 607 1.5× 228 0.7× 165 3.2k
Zheng Han China 30 690 0.7× 977 1.3× 1.5k 2.5× 114 0.3× 367 1.2× 154 3.5k
Khaled Mohamed Khedher Saudi Arabia 31 795 0.8× 565 0.7× 291 0.5× 112 0.3× 281 0.9× 164 3.1k
Keli Zhang China 38 524 0.5× 394 0.5× 427 0.7× 897 2.2× 469 1.5× 216 4.7k
Jianmin Zhang China 28 230 0.2× 1.3k 1.6× 423 0.7× 242 0.6× 163 0.5× 212 3.0k
Mitchell J. Small United States 36 848 0.8× 397 0.5× 242 0.4× 220 0.5× 309 1.0× 221 4.8k
Zhongqiang Liu China 26 270 0.3× 894 1.2× 639 1.1× 228 0.6× 198 0.6× 164 3.3k
Francesca Pianosi United Kingdom 34 1.7k 1.7× 904 1.2× 277 0.5× 228 0.6× 451 1.5× 97 5.0k
Jessica Cariboni Italy 14 933 0.9× 1.1k 1.4× 150 0.3× 319 0.8× 296 1.0× 36 7.1k

Countries citing papers authored by Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wang. A scholar is included among the top collaborators of Ming Wang 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 Ming Wang. Ming Wang 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
1.
Liu, Xiaoming, et al.. (2025). Formation tracking control for unmanned vehicles using enhanced sequential convex programming-based model predictive control. Journal of the Franklin Institute. 362(6). 107571–107571. 1 indexed citations
2.
Liu, Kai, et al.. (2025). A 6-hourly 0.1° resolution freezing rain dataset of China during 2000–2019 based on deep kernel learning. Scientific Data. 12(1). 240–240. 1 indexed citations
3.
Wang, Ming, et al.. (2025). Social-ecological system sustainability in China from the perspective of supply-demand balance for ecosystem services. Journal of Cleaner Production. 497. 145039–145039. 14 indexed citations
4.
Wang, Dehui, et al.. (2024). Thaumasite sulfate attack characteristic of seawater and sea sand concrete with limestone powder in different sulfate environment at low temperature. Construction and Building Materials. 437. 136815–136815. 7 indexed citations
5.
Zhang, Zhengtao, et al.. (2024). Investigating the role of refining urban flood direct loss in enhancing the accuracy of indirect economic loss assessment. International Journal of Disaster Risk Reduction. 102. 104285–104285. 5 indexed citations
6.
Wu, Haodong, et al.. (2024). Effects of seawater concentration on the drying shrinkage of seawater concrete. Construction and Building Materials. 457. 139437–139437. 8 indexed citations
7.
Shen, Sheng, Yao Wang, Yajun Qi, et al.. (2024). Damaged mortise–tenon joint strengthened using an assembled spring–steel hoop based on a design of similar rotational stiffness. Journal of Building Engineering. 95. 110101–110101. 1 indexed citations
8.
Wang, Ming, et al.. (2024). Discovery of Late Cretaceous basalts in the Asuo area, Central Tibet: Implications for orogenic root removal beneath the Lhasa-Qiangtang orogenic belt. Journal of Asian Earth Sciences. 276. 106340–106340. 1 indexed citations
9.
Wang, Ming, et al.. (2024). Synergy between cellulose nanocrystals and calcium silicate hydrate-polycarboxylate ether enhances the strength and carbonation resistance of cement pastes. Construction and Building Materials. 435. 136914–136914. 9 indexed citations
10.
Wang, Ming, et al.. (2024). A novel method for DCS reservoir modeling with consideration of oil-water relationships. Marine and Petroleum Geology. 173. 107259–107259.
11.
Li, Kaiwen, et al.. (2024). Key propagation pathways of extreme precipitation events revealed by climate networks. npj Climate and Atmospheric Science. 7(1). 6 indexed citations
12.
Xu, Huidong, Ming Wang, Dongping He, & Tao Wang. (2023). Vibration transmission and energy dissipation of roll controlled by particle damping absorber. International Journal of Mechanical Sciences. 249. 108264–108264. 13 indexed citations
13.
Wang, Ming, et al.. (2023). Research on the security of China's oil resources supply based on the objective weight method. Journal of Safety Science and Resilience. 4(3). 265–273. 3 indexed citations
14.
Wang, Qianzhi, Kai Liu, Xiaoyong Ni, & Ming Wang. (2023). Extreme climate change and contemporary analogs for cities in mainland China in a 2.0 °C warmer climate. Climate Services. 30. 100348–100348. 5 indexed citations
15.
Liu, Kai, Jianxin Zhang, Junfei Liu, Ming Wang, & Qingrui Yue. (2023). Projection of land susceptibility to subsidence hazard in China using an interpretable CNN deep learning model. The Science of The Total Environment. 913. 169502–169502. 10 indexed citations
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18.
Ni, Xiaoyong, Hong Huang, Ruiqi Li, et al.. (2022). Synergistic Influence of Rainstorm and Waterlogging on Drivers’ Driving Behavior—An Experimental Study Based on High-Fidelity Driving Simulator. Sustainability. 14(14). 8517–8517. 1 indexed citations
19.
Zhou, Tingwei, Ming Wang, Zhigang Zang, & Liang Fang. (2019). Stable Dynamics Performance and High Efficiency of ABX3‐Type Super‐Alkali Perovskites First Obtained by Introducing H5O2 Cation. Advanced Energy Materials. 9(29). 125 indexed citations
20.
Ni, Haibin, Xiang Liu, Ying Zhou, et al.. (2018). Large area highly ordered monolayer composite microsphere arrays – fabrication and tunable surface plasmon linewidth. RSC Advances. 8(69). 39735–39741. 4 indexed citations

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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