Kegong Diao

1.6k total citations
42 papers, 1.1k citations indexed

About

Kegong Diao is a scholar working on Civil and Structural Engineering, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, Kegong Diao has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Civil and Structural Engineering, 14 papers in Environmental Engineering and 10 papers in Ocean Engineering. Recurrent topics in Kegong Diao's work include Water Systems and Optimization (31 papers), Urban Stormwater Management Solutions (11 papers) and Water resources management and optimization (8 papers). Kegong Diao is often cited by papers focused on Water Systems and Optimization (31 papers), Urban Stormwater Management Solutions (11 papers) and Water resources management and optimization (8 papers). Kegong Diao collaborates with scholars based in United Kingdom, Austria and China. Kegong Diao's co-authors include David Butler, Raziyeh Farmani, Guangtao Fu, Sarah Ward, Wolfgang Rauch, Maryam Imani, Chris Sweetapple, Yuwen Zhou, Robert Sitzenfrei and Bogumił Ulanicki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Environmental Modelling & Software.

In The Last Decade

Kegong Diao

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kegong Diao United Kingdom 14 774 373 280 238 224 42 1.1k
Donghwi Jung South Korea 17 699 0.9× 287 0.8× 242 0.9× 223 0.9× 155 0.7× 85 998
Mashor Housh Israel 18 541 0.7× 181 0.5× 381 1.4× 429 1.8× 108 0.5× 71 1.0k
Paul Jowitt United Kingdom 19 696 0.9× 270 0.7× 682 2.4× 227 1.0× 340 1.5× 78 1.6k
Do Guen Yoo South Korea 18 515 0.7× 215 0.6× 185 0.7× 147 0.6× 103 0.5× 88 907
Doosun Kang South Korea 27 1.2k 1.6× 576 1.5× 543 1.9× 603 2.5× 207 0.9× 93 1.9k
Lina Sela United States 17 456 0.6× 149 0.4× 165 0.6× 187 0.8× 91 0.4× 65 710
Giovanni Francesco Santonastaso Italy 23 980 1.3× 371 1.0× 347 1.2× 383 1.6× 62 0.3× 65 1.4k
Kalyan R. Piratla United States 18 791 1.0× 175 0.5× 258 0.9× 190 0.8× 34 0.2× 83 1.2k
Bruno Brentan Brazil 23 787 1.0× 326 0.9× 427 1.5× 459 1.9× 125 0.6× 93 1.4k
Carlo Giudicianni Italy 18 627 0.8× 218 0.6× 196 0.7× 259 1.1× 62 0.3× 50 831

Countries citing papers authored by Kegong Diao

Since Specialization
Citations

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

Fields of papers citing papers by Kegong Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kegong Diao

This figure shows the co-authorship network connecting the top 25 collaborators of Kegong Diao. A scholar is included among the top collaborators of Kegong Diao 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 Kegong Diao. Kegong Diao 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.
2.
Alsalemi, Abdullah, et al.. (2023). Analyzing Gas Data Using Deep Learning and 2-D Gramian Angular Fields. IEEE Sensors Journal. 23(6). 6109–6116. 16 indexed citations
3.
Sitzenfrei, Robert, et al.. (2022). Dual graph characteristics of water distribution networks—how optimal are design solutions?. Complex & Intelligent Systems. 9(1). 147–160. 12 indexed citations
4.
Diao, Kegong, Luigi Berardi, Daniele Laucelli, Bogumił Ulanicki, & Orazio Giustolisi. (2022). Topological and hydraulic metrics-based search space reduction for optimal re-sizing of water distribution networks. Journal of Hydroinformatics. 24(3). 610–621. 9 indexed citations
5.
Alsalemi, Abdullah, et al.. (2022). Creating 3D Gramian Angular Field Representations for Higher Performance Energy Data Classification. 2022 IEEE International Conference on Image Processing (ICIP). 3586–3590. 1 indexed citations
6.
Diao, Kegong, Donghwi Jung, Raziyeh Farmani, et al.. (2021). Modular interdependency analysis for water distribution systems. Water Research. 201. 117320–117320. 13 indexed citations
7.
Diao, Kegong, et al.. (2021). Seismic Performance Assessment of Water Distribution Systems Based on Multi-Indexed Nodal Importance. Water. 13(17). 2362–2362. 12 indexed citations
8.
Diao, Kegong. (2021). Towards resilient water supply in centralized control and decentralized execution mode. Journal of Water Supply Research and Technology—AQUA. 70(4). 449–466. 12 indexed citations
9.
Diao, Kegong, David Butler, & Bogumił Ulanicki. (2021). Fractality in water distribution networks: application to criticality analysis and optimal rehabilitation. Urban Water Journal. 18(10). 885–895. 6 indexed citations
10.
Ward, Sarah, et al.. (2020). Animating inter-organisational resilience communication: A participatory social network analysis of water governance in the UK. Heliyon. 6(10). e05069–e05069. 5 indexed citations
11.
Diao, Kegong, Robert Sitzenfrei, & Wolfgang Rauch. (2019). The Impacts of Spatially Variable Demand Patterns on Water Distribution System Design and Operation. Water. 11(3). 567–567. 10 indexed citations
12.
Sweetapple, Chris, Kegong Diao, Raziyeh Farmani, Gaihua Fu, & David Butler. (2018). A Tool for Global Resilience Analysis of Water Distribution Systems. DMU Open Research Archive (De Montfort University). 7 indexed citations
13.
Diao, Kegong, David Butler, & Bogumił Ulanicki. (2017). CCWi2017: F35 'FRACTALITY IN WATER DISTRIBUTION NETWORKS'. DMU Open Research Archive (De Montfort University). 11 indexed citations
14.
Butler, David, Sarah Ward, Chris Sweetapple, et al.. (2016). Reliable, resilient and sustainable water management: the Safe & SuRe approach. SHILAP Revista de lepidopterología. 1(1). 63–77. 208 indexed citations
15.
Diao, Kegong, Guangtao Fu, Raziyeh Farmani, Michele Guidolin, & David Butler. (2015). Twin-Hierarchy Decomposition for Optimal Design of Water Distribution Systems. Journal of Water Resources Planning and Management. 142(5). 17 indexed citations
16.
Mugume, Seith N., Kegong Diao, Maryam Imani, et al.. (2015). Enhancing resilience in urban water systems for future cities. Water Science & Technology Water Supply. 15(6). 1343–1352. 42 indexed citations
17.
Diao, Kegong, Michele Guidolin, Guangtao Fu, Raziyeh Farmani, & David Butler. (2014). Hierarchical Decomposition of Water Distribution Systems for Background Leakage Assessment. Procedia Engineering. 89. 53–58. 8 indexed citations
18.
Sitzenfrei, Robert, M. Mair, Kegong Diao, & Wolfgang Rauch. (2014). Assessing Model Structure Uncertainties in Water Distribution Models. DMU Open Research Archive (De Montfort University). 515–524. 7 indexed citations
19.
Diao, Kegong & Wolfgang Rauch. (2013). Controllability analysis as a pre-selection method for sensor placement in water distribution systems. Water Research. 47(16). 6097–6108. 30 indexed citations
20.
Diao, Kegong, et al.. (2010). Study on the impacts of peaking factors on a water distribution system in Germany. Water Science & Technology Water Supply. 10(2). 165–172. 8 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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