Ming Zhong

786 total citations
44 papers, 567 citations indexed

About

Ming Zhong is a scholar working on Global and Planetary Change, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Zhong has authored 44 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 8 papers in Environmental Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Zhong's work include Flood Risk Assessment and Management (14 papers), Hydrological Forecasting Using AI (7 papers) and Hydrology and Watershed Management Studies (7 papers). Ming Zhong is often cited by papers focused on Flood Risk Assessment and Management (14 papers), Hydrological Forecasting Using AI (7 papers) and Hydrology and Watershed Management Studies (7 papers). Ming Zhong collaborates with scholars based in China, United States and United Kingdom. Ming Zhong's co-authors include Yang Hong, Tao Jiang, Kairong Lin, Qianxue Zhang, Yu Hao, Xiaohong Chen, Wenping Xu, Guoping Tang, Tsangyao Chang and Da Su and has published in prestigious journals such as Journal of Cleaner Production, Journal of Hydrology and Sustainability.

In The Last Decade

Ming Zhong

42 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zhong China 15 167 153 110 88 87 44 567
Yongsheng Wang China 15 256 1.5× 140 0.9× 37 0.3× 107 1.2× 61 0.7× 38 771
Robert Hope United Kingdom 15 101 0.6× 65 0.4× 72 0.7× 63 0.7× 204 2.3× 46 735
Christian Otto Germany 18 329 2.0× 221 1.4× 75 0.7× 136 1.5× 100 1.1× 47 1.1k
Sven Willner Germany 14 462 2.8× 178 1.2× 125 1.1× 174 2.0× 160 1.8× 30 874
Keith Williges Austria 14 226 1.4× 148 1.0× 72 0.7× 182 2.1× 29 0.3× 28 645
Md. Mahmudul Haque Bangladesh 16 184 1.1× 118 0.8× 178 1.6× 54 0.6× 199 2.3× 60 746
Wenting Chen China 20 135 0.8× 152 1.0× 54 0.5× 41 0.5× 34 0.4× 77 1.2k
Uwe Kunert Germany 10 287 1.7× 133 0.9× 37 0.3× 58 0.7× 89 1.0× 42 644
Jorge Rivas United States 6 208 1.2× 80 0.5× 151 1.4× 120 1.4× 43 0.5× 8 569
Shiyi Tang China 8 135 0.8× 64 0.4× 40 0.4× 27 0.3× 50 0.6× 21 394

Countries citing papers authored by Ming Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhong. A scholar is included among the top collaborators of Ming Zhong 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 Zhong. Ming Zhong 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.
Zhong, Ming, Xueyou Li, Lu Zhuo, et al.. (2025). Identifying Risk Transition Pattern of Compound Flooding Using the Copula Integrated Markov Chain. Water Resources Management. 39(14). 7727–7748.
2.
3.
Zhong, Ming, et al.. (2025). Measuring community resilience of flash floods using a multilevel interpretive structure model: Quantification and time-varying responses. Ecological Indicators. 173. 113335–113335. 1 indexed citations
4.
Jiang, Tao, et al.. (2024). An Objective Framework for Bivariate Risk Analysis of Flash Floods Under the Compound Effect of Rainfall Characteristics. Water Resources Management. 38(6). 2015–2037. 2 indexed citations
5.
Zhong, Ming, Xiao Lu, Yiwen Mei, et al.. (2023). A study on compound flood prediction and inundation simulation under future scenarios in a coastal city. Journal of Hydrology. 628. 130475–130475. 22 indexed citations
6.
Zhong, Ming, et al.. (2023). Investigating the Impact of Financial Inclusion on Energy Consumption: Does Corruption Matter?. Journal of the Knowledge Economy. 15(2). 8797–8814. 8 indexed citations
7.
Xiao, Lü, et al.. (2022). Runoff Forecasting Using Machine-Learning Methods: Case Study in the Middle Reaches of Xijiang River. Frontiers in Big Data. 4. 752406–752406. 16 indexed citations
8.
Li, Xiaohui, et al.. (2022). Various‐order soliton molecule evolution in a fiber laser with nonlinear polarization rotation effect. Microwave and Optical Technology Letters. 65(5). 1285–1291. 2 indexed citations
9.
Zhong, Ming. (2021). Research on the organizational resilience construction of SMEs under the background of VUCA. 3 indexed citations
10.
Xu, Wenping, Ming Zhong, Yang Hong, & Kairong Lin. (2020). Enhancing community resilience to urban floods with a network structuring model. Safety Science. 127. 104699–104699. 47 indexed citations
11.
Zhong, Ming, et al.. (2020). A Copula-Based Multivariate Probability Analysis for Flash Flood Risk under the Compound Effect of Soil Moisture and Rainfall. Water Resources Management. 35(1). 83–98. 29 indexed citations
12.
13.
Zhong, Ming, et al.. (2019). Multiple environmental factors analysis of flash flood risk in Upper Hanjiang River, southern China. Environmental Science and Pollution Research. 27(30). 37218–37228. 12 indexed citations
14.
Zhong, Ming, Jiao Wang, Liang Gao, Kairong Lin, & Yang Hong. (2019). Fuzzy Risk Assessment of Flash Floods Using a Cloud-Based Information Diffusion Approach. Water Resources Management. 33(7). 2537–2553. 9 indexed citations
15.
Zhong, Ming, et al.. (2016). The nexus between military expenditures and economic growth in the BRICS and the US: an empirical note. Defence and Peace Economics. 28(5). 609–620. 20 indexed citations
16.
Zhong, Ming, et al.. (2015). The causal nexus between military spending and unemployment in the G7: a bootstrap panel causality test. Defence and Peace Economics. 26(6). 609–622. 24 indexed citations
17.
Hao, Yu, et al.. (2015). Is there convergence in per capita SO2 emissions in China? An empirical study using city-level panel data. Journal of Cleaner Production. 108. 944–954. 82 indexed citations
18.
Zhong, Ming, et al.. (2012). Hydration Activity of Ceramic Polishing Powder at Autoclaved Condition. Advanced materials research. 568. 392–395. 1 indexed citations
19.
Zhong, Ming, et al.. (2012). DDoS defense system with turing test and neural network. 9 indexed citations
20.
Mason, I.G., et al.. (2004). Composting High Moisture Content Bovine Manure Using Passive Aeration. Compost Science & Utilization. 12(3). 249–267. 21 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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