Ming Chang

1.4k total citations
48 papers, 1.1k citations indexed

About

Ming Chang is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Ming Chang has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management, Monitoring, Policy and Law, 24 papers in Global and Planetary Change and 8 papers in Atmospheric Science. Recurrent topics in Ming Chang's work include Landslides and related hazards (35 papers), Fire effects on ecosystems (14 papers) and Flood Risk Assessment and Management (13 papers). Ming Chang is often cited by papers focused on Landslides and related hazards (35 papers), Fire effects on ecosystems (14 papers) and Flood Risk Assessment and Management (13 papers). Ming Chang collaborates with scholars based in China, Netherlands and United Kingdom. Ming Chang's co-authors include Chuan Tang, Th.W.J. van Asch, Xiangyang Dou, Ming Chen, Xiong Jiang, Jing Zhu, Xin Qi, Jun Ding, Fei Cai and Chao Zhou and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Journal of Hydrology.

In The Last Decade

Ming Chang

46 papers receiving 1.1k citations

Peers

Ming Chang

MMPL

GPC

CSE

ECOLO

Richard Guthrie Canada

David Milledge United Kingdom

Paola Revellino Italy

Yong You China

Muhammad Shafique Pakistan

Vicente Medina Spain

Rainer Bell Austria

G. D’Amato Avanzi Italy

Giacomo Pepe Italy

Davide Tiranti Italy

Richard Guthrie Canada

Ming Chang

967 ×1.1

MMPL

439 ×0.9

GPC

376 ×1.6

166 ×0.8

CSE

233 ×1.1

ECOLO

Citations per year, relative to Ming Chang Ming Chang (= 1×) peers Richard Guthrie

Countries citing papers authored by Ming Chang

Since Specialization

Citations

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

Fields of papers citing papers by Ming Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Chang. A scholar is included among the top collaborators of Ming Chang 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 Chang. Ming Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chang, Ming, et al.. (2025). Quantitative risk assessment of rainstorm-induced flood disaster in Piedmont plain of Pakistan. Scientific Reports. 15(1). 775–775. 1 indexed citations

Xiao, Yi, et al.. (2025). Assessment of urban flood resilience and obstacle factors identification: A case study of three major urban agglomerations in China. Ecological Indicators. 176. 113659–113659. 5 indexed citations

Li, Ning, et al.. (2025). Spatial Heterogeneity of Dominant Controlling Factors for Seismic Landslide Susceptibility Zones: A Case Study of the Barkam Earthquake. Transactions in GIS. 29(6). 1 indexed citations

Chang, Ming, et al.. (2025). Multi-scenario simulations for quantitative assessment of debris flow chain hazards in southwestern China. CATENA. 253. 108900–108900. 1 indexed citations

Chen, Liang, et al.. (2024). Comprehensive evaluation and optimal management of extreme disaster risk in Chinese urban agglomerations by integrating resilience risk elements and set pair analysis. International Journal of Disaster Risk Reduction. 111. 104671–104671. 9 indexed citations

Wang, Ruonan, Yi Xiao, Huan Huang, & Ming Chang. (2024). Exploring the complex relationship between industrial upgrading and energy eco-efficiency in river basin cities: A case study of the Yellow River Basin in China. Energy. 312. 133498–133498. 17 indexed citations

Chang, Ming, et al.. (2024). Integrated risk assessment of landslide in karst terrains: Advancing landslides management in Beiliu City, China. International Journal of Applied Earth Observation and Geoinformation. 132. 104046–104046. 6 indexed citations

Xiao, Yi, et al.. (2024). Urban resilience assessment and multi-scenario simulation: A case study of three major urban agglomerations in China. Environmental Impact Assessment Review. 111. 107734–107734. 21 indexed citations

Chen, Liang, et al.. (2024). Exploring spatial pattern optimization path of urban building carbon emission based on low-carbon cities analytical framework: A case study of Xi'an, China. Sustainable Cities and Society. 111. 105551–105551. 16 indexed citations

10.

Chang, Ming, et al.. (2023). Identification and deformation analysis of potential landslides after the Jiuzhaigou earthquake by SBAS-InSAR. Environmental Science and Pollution Research. 30(13). 39093–39106. 10 indexed citations

11.

Jiang, Xiong, Huayong Chen, Chuan Tang, et al.. (2023). Application of remote sensing monitoring to the spatiotemporal variation in debris flow activity in the catastrophic Wenchuan seismic area. CATENA. 232. 107450–107450. 18 indexed citations

12.

Dong, Han, Liang Chen, Hao Wu, et al.. (2023). Evaluation on coupling coordinated development of population economy and eco-geological environment in the twin-city economic circle of Chengdu–Chongqing region. Scientific Reports. 13(1). 13459–13459. 13 indexed citations

13.

Chang, Ming, et al.. (2022). Risk assessment of multi-disaster in Mining Area of Guizhou, China. International Journal of Disaster Risk Reduction. 78. 103128–103128. 33 indexed citations

14.

Chang, Ming, et al.. (2022). Catastrophe process of outburst debris flow triggered by the landslide dam failure. Journal of Hydrology. 609. 127729–127729. 12 indexed citations

15.

Li, Ning, et al.. (2021). Characteristics of the disastrous debris flow of Chediguan gully in Yinxing town, Sichuan Province, on August 20, 2019. Scientific Reports. 11(1). 23666–23666. 17 indexed citations

16.

Chang, Ming, Peng Cui, Lu Xu, & Yu Zhou. (2021). The spatial distribution characteristics of coseismic landslides triggered by the Ms7.0 Lushan earthquake and Ms7.0 Jiuzhaigou earthquake in southwest China. Environmental Science and Pollution Research. 28(16). 20549–20569. 26 indexed citations

17.

Chang, Ming, Yu Zhou, Chao Zhou, & Tristram C. Hales. (2020). Coseismic landslides induced by the 2018 Mw 6.6 Iburi, Japan, Earthquake: spatial distribution, key factors weight, and susceptibility regionalization. Landslides. 18(2). 755–772. 31 indexed citations

18.

Chang, Ming, et al.. (2017). Analysis of River Blocking Induced by a Debris Flow. Geofluids. 2017. 1–8. 17 indexed citations

19.

Tang, Chuan, et al.. (2015). Survey and analysis of the"8.13"debris flows fan in Longchi Town of Dujiangyan City,Sichuan Province. 46(2). 197–207. 5 indexed citations

20.

Chang, Ming. (2012). A WebGIS-based warning system for debris flows. 1 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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