Dapeng Yu

4.6k total citations · 2 hit papers
67 papers, 3.3k citations indexed

About

Dapeng Yu is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Dapeng Yu has authored 67 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Global and Planetary Change, 26 papers in Atmospheric Science and 14 papers in Water Science and Technology. Recurrent topics in Dapeng Yu's work include Flood Risk Assessment and Management (44 papers), Tropical and Extratropical Cyclones Research (22 papers) and Hydrology and Watershed Management Studies (13 papers). Dapeng Yu is often cited by papers focused on Flood Risk Assessment and Management (44 papers), Tropical and Extratropical Cyclones Research (22 papers) and Hydrology and Watershed Management Studies (13 papers). Dapeng Yu collaborates with scholars based in United Kingdom, China and United States. Dapeng Yu's co-authors include Stuart N. Lane, Jie Yin, Robert L. Wilby, Zhane Yin, R. J. Hardy, Mingfu Guan, Ning Lin, Min Liu, Qing He and Kaihua Guo and has published in prestigious journals such as Nature, The Science of The Total Environment and Acta Materialia.

In The Last Decade

Dapeng Yu

63 papers receiving 3.2k citations

Hit Papers

Evaluating the impact and risk of pluvial flash flood on ... 2016 2026 2019 2022 2016 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dapeng Yu United Kingdom 32 2.3k 1.1k 1.1k 447 438 67 3.3k
Michael Leonard Australia 26 3.7k 1.6× 1.6k 1.5× 1.6k 1.5× 466 1.0× 330 0.8× 65 5.0k
Mojtaba Sadegh United States 37 3.0k 1.3× 1.5k 1.4× 976 0.9× 987 2.2× 399 0.9× 113 5.2k
Alessandra Bianchi Italy 16 2.1k 0.9× 1.1k 0.9× 816 0.7× 239 0.5× 259 0.6× 27 2.7k
Zoran Vojinović Netherlands 34 2.6k 1.1× 934 0.8× 499 0.5× 1.4k 3.2× 309 0.7× 107 3.6k
Chengguang Lai China 33 3.1k 1.3× 1.5k 1.3× 1.3k 1.2× 958 2.1× 391 0.9× 89 4.1k
Satoshi WATANABE Japan 13 2.0k 0.9× 1.1k 0.9× 708 0.6× 269 0.6× 324 0.7× 73 2.7k
So Kazama Japan 26 968 0.4× 863 0.8× 441 0.4× 467 1.0× 325 0.7× 230 2.4k
Ali Torabi Haghighi Finland 36 2.4k 1.0× 2.1k 1.9× 613 0.6× 1.3k 3.0× 531 1.2× 206 4.8k
George D. Bathrellos Greece 31 1.7k 0.7× 536 0.5× 414 0.4× 594 1.3× 237 0.5× 62 3.2k
Lorenzo Alfieri Italy 39 5.7k 2.5× 3.4k 3.0× 2.2k 2.0× 942 2.1× 549 1.3× 91 7.1k

Countries citing papers authored by Dapeng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Dapeng Yu. A scholar is included among the top collaborators of Dapeng Yu 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 Dapeng Yu. Dapeng Yu 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.
Guan, Mingfu, et al.. (2025). SwinFlood: A hybrid CNN-Swin Transformer model for rapid spatiotemporal flood simulation. Journal of Hydrology. 660. 133280–133280.
2.
Guan, Mingfu, et al.. (2025). Dynamic flood risk modeling in urban metro systems considering station configuration. Reliability Engineering & System Safety. 266. 111760–111760. 2 indexed citations
3.
Guan, Mingfu, et al.. (2025). Rapid flood inundation mapping by integrating deep learning-based image super-resolution with coarse-grid hydrodynamic modeling. Engineering Applications of Computational Fluid Mechanics. 19(1). 2 indexed citations
4.
Yu, Dapeng, Jiang‐Wen Xiao, & Yan‐Wu Wang. (2025). Resilience-promoting day-ahead schedule in coastal integrated energy system considering subjective uncertainty. Energy. 328. 136450–136450. 1 indexed citations
5.
Cao, Jiamin, Tingting Wang, Dapeng Yu, et al.. (2024). MsDUF3700 overexpression enhances aluminum tolerance in alfalfa shoots. Plant Cell Reports. 43(12). 301–301. 1 indexed citations
6.
Yan, Haochen, Yao Gao, Robert L. Wilby, et al.. (2024). Urbanization Further Intensifies Short‐Duration Rainfall Extremes in a Warmer Climate. Geophysical Research Letters. 51(5). 18 indexed citations
7.
Yu, Dapeng, Bo Wan, & Qiang Sheng. (2024). Automated Generation of Urban Spatial Structures Based on Stable Diffusion and CoAtNet Models. Buildings. 14(12). 3720–3720. 2 indexed citations
8.
Wilby, Robert L., et al.. (2023). Spatial and temporal scaling of extreme rainfall in the United Kingdom. International Journal of Climatology. 44(1). 286–304. 5 indexed citations
9.
Guo, Kaihua, Mingfu Guan, & Dapeng Yu. (2021). Urban surface water flood modelling – a comprehensive review of current models and future challenges. Hydrology and earth system sciences. 25(5). 2843–2860. 169 indexed citations breakdown →
10.
Yu, Dapeng, et al.. (2020). From flooding to finance: NHS ambulance‐assisted evacuations of care home residents in Norfolk and Suffolk, UK. Journal of Flood Risk Management. 13(1). 6 indexed citations
11.
Wang, Chenglin, Dapeng Yu, Wenlong Zhou, et al.. (2020). The role of pyramidal 〈  +  〉 dislocations in the grain refinement mechanism in Ti-6Al-4V alloy processed by severe plastic deformation. Acta Materialia. 200. 101–115. 111 indexed citations
14.
Green, Daniel, Dapeng Yu, Ian Pattison, et al.. (2017). City-scale accessibility of emergency responders operating during flood events. Natural hazards and earth system sciences. 17(1). 1–16. 75 indexed citations
15.
May, Andrew, et al.. (2016). The motivations, enablers and barriers for voluntary participation in an online crowdsourcing platform. Computers in Human Behavior. 64. 923–931. 114 indexed citations
16.
Green, Daniel, Dapeng Yu, Ian Pattison, et al.. (2016). Flood Impacts on Emergency Responders Operating at a City-Scale. Loughborough University Institutional Repository (Loughborough University). 2 indexed citations
17.
Yang, Lili, Qun Liu, Shuang‐Hua Yang, & Dapeng Yu. (2015). Evacuation planning with flood inundation as inputs. Loughborough University Institutional Repository (Loughborough University). 3 indexed citations
18.
Yu, Dapeng, et al.. (2015). Coastal Flood Risks in the Bangkok Metropolitan Region, Thailand: Combined Impacts of Land Subsidence, Sea Level Rise and Storm Surge. AGU Fall Meeting Abstracts. 2015. 2 indexed citations
19.
Yu, Dapeng, Robert L. Wilby, Ian Pattison, et al.. (2015). Beyond ‘flood hotspots’: co-production of knowledge between academia and stakeholders for improved resilience of emergency response to flood disasters [abstract]. Loughborough University Institutional Repository (Loughborough University). 2015. 1 indexed citations
20.
Liu, Lin, Yao-Bin Liu, Dapeng Yu, et al.. (2015). Developing an effective 2-D urban flood inundation model for city emergency management based on cellular automata. Natural hazards and earth system sciences. 15(3). 381–391. 84 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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