Hexiang Yan

1.1k total citations
52 papers, 770 citations indexed

About

Hexiang Yan is a scholar working on Civil and Structural Engineering, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, Hexiang Yan has authored 52 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Civil and Structural Engineering, 16 papers in Environmental Engineering and 10 papers in Ocean Engineering. Recurrent topics in Hexiang Yan's work include Water Systems and Optimization (30 papers), Urban Stormwater Management Solutions (13 papers) and Flood Risk Assessment and Management (10 papers). Hexiang Yan is often cited by papers focused on Water Systems and Optimization (30 papers), Urban Stormwater Management Solutions (13 papers) and Flood Risk Assessment and Management (10 papers). Hexiang Yan collaborates with scholars based in China, Hong Kong and France. Hexiang Yan's co-authors include Tao Tao, Kunlun Xin, Huan‐Feng Duan, Fei Li, Jiaying Wang, Xiao Zhou, Gislain Lipeme Kouyi, Shuping Li, Jia Liu and Arthur R. Schmidt and has published in prestigious journals such as The Science of The Total Environment, Water Research and Journal of Cleaner Production.

In The Last Decade

Hexiang Yan

49 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hexiang Yan China 15 401 335 194 181 171 52 770
Jaber Soltani Iran 11 216 0.5× 249 0.7× 131 0.7× 271 1.5× 139 0.8× 29 615
T. R. Neelakantan India 17 416 1.0× 244 0.7× 126 0.6× 343 1.9× 321 1.9× 56 858
F. Javier Martínez-Solano Spain 16 441 1.1× 221 0.7× 86 0.4× 169 0.9× 219 1.3× 65 709
Siti Fatin Mohd Razali Malaysia 17 207 0.5× 506 1.5× 371 1.9× 432 2.4× 277 1.6× 69 1.3k
Ahmed M. A. Sattar Egypt 19 673 1.7× 439 1.3× 233 1.2× 407 2.2× 145 0.8× 39 1.3k
Andrea Menapace Italy 15 263 0.7× 210 0.6× 116 0.6× 251 1.4× 154 0.9× 49 717
Giovanni de Marinis Italy 23 568 1.4× 718 2.1× 427 2.2× 568 3.1× 235 1.4× 64 1.5k
Angela Marchi Australia 17 505 1.3× 161 0.5× 53 0.3× 219 1.2× 317 1.9× 33 725
C. R. Suribabu India 14 494 1.2× 222 0.7× 126 0.6× 122 0.7× 189 1.1× 58 708
Mohammed Majeed Hameed Iraq 18 298 0.7× 580 1.7× 234 1.2× 410 2.3× 66 0.4× 47 1.2k

Countries citing papers authored by Hexiang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hexiang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hexiang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Hexiang Yan. A scholar is included among the top collaborators of Hexiang Yan 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 Hexiang Yan. Hexiang Yan 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.
Yan, Hexiang, Wenchong Tian, Fei Li, et al.. (2025). A Hybrid Model Coupling Data and Hydraulic Transient Laws for Water Distribution Systems. Water Resources Research. 61(2). 2 indexed citations
2.
Yan, Hexiang, et al.. (2024). Novel drainage pipeline breakages detection based on MEMS inertial sensor: From mechanism to application. Journal of Cleaner Production. 473. 143546–143546. 1 indexed citations
3.
Hu, Jiamin, et al.. (2024). Ice slurry pigging technology in drinking water distribution system: From flow mechanisms to pipelines cleaning application. Process Safety and Environmental Protection. 191. 75–84. 4 indexed citations
4.
Wang, Jiaying, et al.. (2024). Enhancing real-time urban drainage network modeling through Crossformer algorithm and online continual learning. Water Research. 268(Pt A). 122614–122614. 4 indexed citations
5.
Tian, Wenchong, et al.. (2024). Modeling transient mixed flows in sewer systems with data fusion via physics-informed machine learning. Water Research X. 25. 100266–100266. 3 indexed citations
6.
7.
Yan, Hexiang, et al.. (2024). Modeling Transient Mixed Flows in Drainage Networks With Smoothed Particle Hydrodynamics. Water Resources Management. 38(3). 861–879. 8 indexed citations
8.
9.
Xin, Kunlun, et al.. (2024). A deep-level decomposed model to accelerate hydraulic simulations in large water distribution networks. Water Research. 266. 122318–122318. 2 indexed citations
10.
Yan, Hexiang, Fei Li, Tao Tao, et al.. (2023). Development of Smoothed Particle Hydrodynamics based water hammer model for water distribution systems. Engineering Applications of Computational Fluid Mechanics. 17(1). 14 indexed citations
11.
Li, Fei, et al.. (2023). GIS-based fuzzy comprehensive evaluation of urban flooding risk with socioeconomic index system development. Environmental Science and Pollution Research. 30(18). 53635–53647. 4 indexed citations
12.
Li, Zhaomin, Lu Bai, Wenchong Tian, et al.. (2023). Online Control of the Raw Water System of a High-Sediment River Based on Deep Reinforcement Learning. Water. 15(6). 1131–1131. 8 indexed citations
13.
Tao, Tao, et al.. (2023). An optimized long short-term memory (LSTM)-based approach applied to early warning and forecasting of ponding in the urban drainage system. Hydrology and earth system sciences. 27(10). 2035–2050. 6 indexed citations
14.
Zhang, Xiangwei, Jiaying Wang, Tao Tao, et al.. (2023). Optimal sensor placement for the routine monitoring of urban drainage systems: A re-clustering method. Journal of Environmental Management. 335. 117579–117579. 11 indexed citations
15.
Guan, Xiaohong, et al.. (2022). A novel design of in‐line static mixer for permanganate/bisulfite process: Numerical simulations and pilot‐scale testing. Water Environment Research. 94(5). e10725–e10725. 2 indexed citations
16.
Zhou, Xiao, et al.. (2022). Sensitivity‐Oriented Clustering Method for Parameter Grouping in Water Network Model Calibration. Water Resources Research. 58(5). 8 indexed citations
17.
Zhou, Xiao, et al.. (2022). Maintaining the long-term accuracy of water distribution models with data assimilation methods: A comparative study. Water Research. 226. 119268–119268. 12 indexed citations
18.
Yan, Hexiang, et al.. (2019). Contamination source identification in water distribution networks using convolutional neural network. Environmental Science and Pollution Research. 26(36). 36786–36797. 22 indexed citations
19.
Li, Jiada, et al.. (2019). Construction Cost-Based Effectiveness Analysis of Green and Grey Infrastructure in Controlling Flood Inundation: A Case Study. Journal of Water Management Modeling. 11 indexed citations
20.
Yan, Hexiang, et al.. (2014). Computational fluid dynamics modelling of flow and particulate contaminants sedimentation in an urban stormwater detention and settling basin. Environmental Science and Pollution Research. 21(8). 5347–5356. 27 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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