Shui‐Long Shen

26.3k total citations · 17 hit papers
428 papers, 22.0k citations indexed

About

Shui‐Long Shen is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Building and Construction. According to data from OpenAlex, Shui‐Long Shen has authored 428 papers receiving a total of 22.0k indexed citations (citations by other indexed papers that have themselves been cited), including 307 papers in Civil and Structural Engineering, 169 papers in Safety, Risk, Reliability and Quality and 53 papers in Building and Construction. Recurrent topics in Shui‐Long Shen's work include Geotechnical Engineering and Analysis (161 papers), Geotechnical Engineering and Underground Structures (120 papers) and Grouting, Rheology, and Soil Mechanics (99 papers). Shui‐Long Shen is often cited by papers focused on Geotechnical Engineering and Analysis (161 papers), Geotechnical Engineering and Underground Structures (120 papers) and Grouting, Rheology, and Soil Mechanics (99 papers). Shui‐Long Shen collaborates with scholars based in China, Australia and Japan. Shui‐Long Shen's co-authors include Annan Zhou, Ye‐Shuang Xu, Hai‐Min Lyu, Zhen‐Yu Yin, Huai-Na Wu, Suksun Horpibulsuk, Arul Arulrajah, Yong-Xia Wu, Song-Shun Lin and Wenjuan Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Shui‐Long Shen

416 papers receiving 21.7k citations

Hit Papers

Long-term settlement beha... 2011 2026 2016 2021 2013 2018 2012 2011 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shui‐Long Shen China 86 15.4k 7.7k 2.8k 2.4k 2.3k 428 22.0k
Annan Zhou China 64 9.0k 0.6× 2.9k 0.4× 1.6k 0.5× 1.5k 0.6× 1.5k 0.6× 385 13.7k
Zhen‐Yu Yin Hong Kong 71 13.4k 0.9× 4.7k 0.6× 801 0.3× 1.0k 0.4× 1.2k 0.5× 611 17.0k
Wengang Zhang China 58 7.9k 0.5× 5.2k 0.7× 452 0.2× 719 0.3× 1.1k 0.5× 374 13.1k
Danial Jahed Armaghani Iran 88 14.3k 0.9× 4.8k 0.6× 2.0k 0.7× 775 0.3× 4.8k 2.1× 361 21.7k
Limin Zhang China 77 12.7k 0.8× 6.6k 0.9× 337 0.1× 1.7k 0.7× 611 0.3× 661 21.2k
Kenichi Soga United Kingdom 64 9.8k 0.6× 2.9k 0.4× 614 0.2× 4.5k 1.9× 1.2k 0.5× 415 16.0k
Kok‐Kwang Phoon Singapore 69 13.8k 0.9× 11.4k 1.5× 471 0.2× 1.8k 0.7× 1.2k 0.5× 410 17.6k
Hossein Moayedi Vietnam 62 3.5k 0.2× 1.6k 0.2× 1.4k 0.5× 1.2k 0.5× 478 0.2× 274 11.4k
Jian Zhou China 65 7.4k 0.5× 2.5k 0.3× 1.6k 0.6× 626 0.3× 2.4k 1.0× 348 13.8k
Yunmin Chen China 55 7.6k 0.5× 1.9k 0.2× 623 0.2× 1.8k 0.7× 550 0.2× 738 13.1k

Countries citing papers authored by Shui‐Long Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shui‐Long Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shui‐Long Shen. 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 Shui‐Long Shen. The network helps show where Shui‐Long Shen may publish in the future.

Co-authorship network of co-authors of Shui‐Long Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Shui‐Long Shen. A scholar is included among the top collaborators of Shui‐Long Shen 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 Shui‐Long Shen. Shui‐Long Shen 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.
Zheng, Qian, Annan Zhou, & Shui‐Long Shen. (2025). Mapping bushfire risk based on scale division and factor analysis: A case study from Victoria, Australia. International Journal of Disaster Risk Reduction. 118. 105222–105222.
2.
Lyu, Hai‐Min, et al.. (2025). A novel framework incorporating machine learning into GIS for flood susceptibility prediction of urban metro systems. Science China Technological Sciences. 68(6).
3.
Shaban, Wafaa Mohamed, et al.. (2024). Real-time water quality prediction of wastewater treatment plants using advanced deep learning networks. Journal of Water Process Engineering. 65. 105775–105775. 8 indexed citations
4.
Shen, Shui‐Long, et al.. (2024). Intelligent approach for mucky soil identification during shield tunnelling by enhanced YOLO model. Journal of Rock Mechanics and Geotechnical Engineering. 17(6). 3327–3338. 5 indexed citations
5.
Chen, Yulin, et al.. (2024). Extraction of assembly quality information in shield tunnels from LiDAR data. Measurement. 245. 116541–116541.
6.
Lin, Song-Shun, Shui‐Long Shen, Annan Zhou, & Xiangsheng Chen. (2024). Smart Techniques Promoting Sustainability in Construction Engineering and Management. Engineering. 45. 262–282. 2 indexed citations
7.
Shen, Shui‐Long, et al.. (2024). Lowlands: Smart disaster prevention and sustainability. 2(1).
8.
Du, Jiapei, et al.. (2024). Molecular simulation on CO2 adsorption heterogeneity in montmorillonite nanopores with different surface charges in presence of water. Chemical Engineering Journal. 482. 148958–148958. 22 indexed citations
9.
Yan, Tao, Shui‐Long Shen, & Annan Zhou. (2023). GFII: A new index to identify geological features during shield tunnelling. Tunnelling and Underground Space Technology. 142. 105440–105440. 35 indexed citations
10.
Njock, Pierre Guy Atangana, Annan Zhou, Zhen‐Yu Yin, & Shui‐Long Shen. (2023). Integrated risk assessment approach for eutrophication in coastal waters: Case of Baltic Sea. Journal of Cleaner Production. 387. 135673–135673. 19 indexed citations
11.
12.
Zeng, Yi, et al.. (2023). Risks analysis of large diameter slurry shield tunneling in urban area. Underground Space. 13. 281–300. 20 indexed citations
13.
Yan, Tao, Shui‐Long Shen, Annan Zhou, & Hai‐Min Lyu. (2021). Data on performance and variation index for shield tunnelling through soft deposit. SHILAP Revista de lepidopterología. 36. 107103–107103. 10 indexed citations
14.
Zhang, Ning, et al.. (2020). A deep-learning method for evaluating shaft resistance of the cast-in-site pile on reclaimed ground using field data. Journal of Zhejiang University. Science A. 21(6). 496–508. 10 indexed citations
15.
17.
Shen, Shui‐Long, et al.. (2019). Environmentally sustainable groundwater control during dewatering with barriers: A case study in Shanghai. Underground Space. 6(1). 12–23. 20 indexed citations
18.
Xu, Ye‐Shuang, et al.. (2018). Hydraulic conductivity estimation by considering the existence of piles: A case study. Geomechanics and Engineering. 14(5). 467–477. 4 indexed citations
19.
Yin, Zhen‐Yu, Yin‐Fu Jin, Shui‐Long Shen, & Pierre‐Yves Hicher. (2017). Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement. International Journal for Numerical and Analytical Methods in Geomechanics. 42(1). 70–94. 232 indexed citations breakdown →
20.
Shen, Shui‐Long, et al.. (2005). MECHANISMS OF PROPERTY CHANGES OF SOFT CLAYS AROUND DEEP MIXING COLUMN. Chinese journal of rock mechanics and engineering. 6 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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