Mingtao Ding

917 total citations
60 papers, 686 citations indexed

About

Mingtao Ding is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Mingtao Ding has authored 60 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Management, Monitoring, Policy and Law, 22 papers in Atmospheric Science and 21 papers in Global and Planetary Change. Recurrent topics in Mingtao Ding's work include Landslides and related hazards (36 papers), Cryospheric studies and observations (16 papers) and Flood Risk Assessment and Management (13 papers). Mingtao Ding is often cited by papers focused on Landslides and related hazards (36 papers), Cryospheric studies and observations (16 papers) and Flood Risk Assessment and Management (13 papers). Mingtao Ding collaborates with scholars based in China, United States and Canada. Mingtao Ding's co-authors include Cheng Miao, Tian Zheng, Hongye Cao, Haixia Xu, Kaiheng Hu, Liangzhi Li, Zhenhong Li, Xiewen Hu, Micha Heiser and Sven Fuchs and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Mingtao Ding

52 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingtao Ding China 17 346 230 147 108 67 60 686
Petra Füreder Austria 10 240 0.7× 173 0.8× 143 1.0× 77 0.7× 20 0.3× 24 544
Chengming Ye China 14 239 0.7× 183 0.8× 104 0.7× 49 0.5× 39 0.6× 46 535
Piero Boccardo Italy 16 91 0.3× 185 0.8× 129 0.9× 92 0.9× 34 0.5× 108 857
Lixia Chen China 19 867 2.5× 412 1.8× 306 2.1× 124 1.1× 332 5.0× 67 1.2k
Alessandro Crivellari Austria 12 204 0.6× 196 0.9× 78 0.5× 42 0.4× 19 0.3× 19 529
Paolo Allasia Italy 17 499 1.4× 153 0.7× 257 1.7× 69 0.6× 92 1.4× 38 844
Fabio Giulio Tonolo Italy 16 67 0.2× 194 0.8× 141 1.0× 134 1.2× 85 1.3× 64 1.1k
Cheng Zhong China 16 274 0.8× 280 1.2× 157 1.1× 15 0.1× 68 1.0× 36 687
Tom Robinson United Kingdom 18 544 1.6× 440 1.9× 451 3.1× 29 0.3× 100 1.5× 41 1.1k

Countries citing papers authored by Mingtao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Mingtao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingtao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Mingtao Ding. A scholar is included among the top collaborators of Mingtao Ding 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 Mingtao Ding. Mingtao Ding 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.
Ding, Mingtao, et al.. (2025). Spatiotemporal landslide susceptibility assessment integrating typhoon tracks: a case study of typhoon Lekima. Journal of Mountain Science. 22(8). 3017–3037.
2.
He, Yufeng, Mingtao Ding, Yu Duan, et al.. (2025). Exploring the dynamic impact of urbanization on landslide susceptibility in Sichuan Province using an explainable XGBoost model. Engineering Geology. 357. 108372–108372. 1 indexed citations
3.
He, Yufeng, Mingtao Ding, Yu Duan, et al.. (2025). Debris flows dynamic risk assessment and interpretable Shapley method-based driving mechanisms exploring – A case study of the upper reach of the Min River. Ecological Indicators. 173. 113400–113400. 2 indexed citations
4.
Ding, Mingtao, et al.. (2024). Spatiotemporal changes of landslide susceptibility in response to rainfall and its future prediction — A case study of Sichuan Province, China. Ecological Informatics. 84. 102862–102862. 7 indexed citations
5.
Ding, Mingtao, et al.. (2024). Identifying drivers of urban landuse changes in the Wenchuan earthquake-affected area by using night-time light data. Journal of Mountain Science. 21(4). 1140–1159.
6.
Li, Xinlong, et al.. (2024). Common-feature-track-matching approach for multi-epoch UAV photogrammetry co-registration. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 392–407. 2 indexed citations
7.
8.
Ding, Mingtao, et al.. (2021). HAZARD ASSESSMENT OF DEBRIS FLOW ALONG ZIRE-BOMI SECTION OF SICHUAN-TIBET RAILWAY. 工程地质学报. 29(2). 478–485.
9.
Ding, Mingtao, et al.. (2021). Check dam storage capacity calculation based on high-resolution topogrammetry: Case study of the Cutou Gully, Wenchuan County, China. The Science of The Total Environment. 790. 148083–148083. 25 indexed citations
10.
Ding, Mingtao, et al.. (2020). Respective influence of vertical mountain differentiation on debris flow occurrence in the Upper Min River, China. Scientific Reports. 10(1). 11689–11689. 17 indexed citations
11.
Huang, Chengmin, et al.. (2018). Assessment of Sustainable Livelihood and Geographic Detection of Settlement Sites in Ethnically Contiguous Poverty-Stricken Areas in the Aba Prefecture, China. ISPRS International Journal of Geo-Information. 7(1). 16–16. 26 indexed citations
12.
Ding, Mingtao. (2015). GIS and DWR based short-term and impending landslide forecasting for Liangshan prefecture (China). Tehnicki vjesnik - Technical Gazette. 22(3). 695–702. 2 indexed citations
13.
Ding, Mingtao, et al.. (2014). Coupling mechanism of rural settlements and mountain disasters in the upper reaches of Min River. Journal of Mountain Science. 11(1). 66–72. 16 indexed citations
14.
Ding, Mingtao & Kaiheng Hu. (2013). Susceptibility mapping of landslides in Beichuan County using cluster and MLC methods. Natural Hazards. 70(1). 755–766. 24 indexed citations
15.
Zheng, Tian, et al.. (2013). Improved Robust Kernel Subspace for Object-Based Registration and Change Detection. IEEE Geoscience and Remote Sensing Letters. 10(4). 791–795. 4 indexed citations
16.
Ding, Mingtao, Lihan He, David B. Dunson, & Lawrence Carin. (2012). Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process. Bayesian Analysis. 7(4). 813–840. 3 indexed citations
17.
Zheng, Tian, et al.. (2010). On-line monitoring parameter change in linear regression model. Systems Engineering - Theory & Practice. 30(6). 1 indexed citations
18.
Ding, Mingtao, et al.. (2010). Registration Using Robust Kernel Principal Component for Object-Based Change Detection. IEEE Geoscience and Remote Sensing Letters. 7(4). 761–765. 19 indexed citations
19.
Ding, Mingtao. (2007). Texture Feature-Based Segmentation of SAR Images Using a Multiresolution Pairwise Markov-GAR Model. Journal of Astronautics. 1 indexed citations
20.
Xu, Haixia, Tian Zheng, & Mingtao Ding. (2007). Graph Spectral Segmentation of SAR Image Based on Information Similarity Measure. 708–711. 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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