Song-Shun Lin

1.5k total citations · 2 hit papers
26 papers, 1.2k citations indexed

About

Song-Shun Lin is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Building and Construction. According to data from OpenAlex, Song-Shun Lin has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 11 papers in Safety, Risk, Reliability and Quality and 10 papers in Building and Construction. Recurrent topics in Song-Shun Lin's work include Geotechnical Engineering and Analysis (9 papers), Underground infrastructure and sustainability (8 papers) and Infrastructure Maintenance and Monitoring (6 papers). Song-Shun Lin is often cited by papers focused on Geotechnical Engineering and Analysis (9 papers), Underground infrastructure and sustainability (8 papers) and Infrastructure Maintenance and Monitoring (6 papers). Song-Shun Lin collaborates with scholars based in China, Australia and Singapore. Song-Shun Lin's co-authors include Annan Zhou, Shui‐Long Shen, Hai‐Min Lyu, Ye‐Shuang Xu, Ning Zhang, Pierre Guy Atangana Njock, Xu Zheng, Takenori Hino, Xiangsheng Chen and Muhammet Deveci 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

Song-Shun Lin

25 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessment and management of lake eutrophication: A case study in Lake Erhai, China

2020 269 citations Song-Shun Lin, Shui‐Long Shen et al. The Science of The Total Environment profile →
Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods

2020 194 citations Song-Shun Lin, Shui‐Long Shen et al. Automation in Construction profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Song-Shun Lin China	16	390	261	240	161	149	26	1.2k
Morteza Osanloo Iran	27	368 0.9×	168 0.6×	81 0.3×	97 0.6×	310 2.1×	58	1.9k
Lars Rosén Sweden	19	216 0.6×	77 0.3×	184 0.8×	44 0.3×	124 0.8×	78	1.3k
M. K. Ghose India	24	117 0.3×	91 0.3×	142 0.6×	90 0.6×	272 1.8×	127	2.0k
Ezzeddin Bakhtavar Iran	20	224 0.6×	92 0.4×	84 0.3×	50 0.3×	152 1.0×	71	1.1k
Mitthan Lal Kansal India	20	485 1.2×	55 0.2×	511 2.1×	32 0.2×	57 0.4×	97	1.7k
Ashraf Ahmed United Kingdom	19	356 0.9×	34 0.1×	200 0.8×	54 0.3×	511 3.4×	58	1.9k
Qingkun Tan China	30	227 0.6×	39 0.1×	780 3.3×	99 0.6×	181 1.2×	68	3.1k
Akira Kawamura Japan	23	159 0.4×	44 0.2×	449 1.9×	83 0.5×	107 0.7×	162	1.5k

Countries citing papers authored by Song-Shun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Song-Shun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song-Shun Lin. 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 Song-Shun Lin. The network helps show where Song-Shun Lin may publish in the future.

Co-authorship network of co-authors of Song-Shun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Song-Shun Lin. A scholar is included among the top collaborators of Song-Shun Lin 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 Song-Shun Lin. Song-Shun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lin, Song-Shun, Xu Zheng, & Muhammet Deveci. (2025). Innovative decision-making modelling for risk analysis in industrial informatization of infrastructure project. Journal of Industrial Information Integration. 45. 100849–100849. 1 indexed citations

Lin, Song-Shun, et al.. (2025). A Decision Support Approach for Safety Risk Analysis and Management in Large-Scale Shield Cutter Head Hoisting Operations. Journal of Construction Engineering and Management. 151(11).

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

Lin, Song-Shun & Xu Zheng. (2024). Enhancing smart city assessment: An advanced MCDM approach for urban performance evaluation. Sustainable Cities and Society. 118. 105930–105930. 7 indexed citations

Lin, Song-Shun, Annan Zhou, & Shui‐Long Shen. (2023). Optimal construction method evaluation for underground infrastructure construction. Automation in Construction. 152. 104921–104921. 14 indexed citations

Lin, Song-Shun, Annan Zhou, & Shui‐Long Shen. (2023). Safety assessment of excavation system via TOPSIS-based MCDM modelling in fuzzy environment. Applied Soft Computing. 138. 110206–110206. 60 indexed citations

Lin, Song-Shun, Annan Zhou, & Shui‐Long Shen. (2023). A coupled deep learning approach for shield moving performance prediction of underground tunnel construction. Gondwana Research. 123. 125–139. 8 indexed citations

Njock, Pierre Guy Atangana, Shui‐Long Shen, Annan Zhou, & Song-Shun Lin. (2022). A VIKOR-based approach to evaluate river contamination risks caused by wastewater treatment plant discharges. Water Research. 226. 119288–119288. 20 indexed citations

Lin, Song-Shun, Shui‐Long Shen, & Annan Zhou. (2022). Real-time analysis and prediction of shield cutterhead torque using optimized gated recurrent unit neural network. Journal of Rock Mechanics and Geotechnical Engineering. 14(4). 1232–1240. 42 indexed citations

10.

Shen, Shui‐Long, Song-Shun Lin, & Annan Zhou. (2022). A cloud model-based approach for risk analysis of excavation system. Reliability Engineering & System Safety. 231. 108984–108984. 51 indexed citations

11.

Lin, Song-Shun, Ning Zhang, Annan Zhou, & Shui‐Long Shen. (2022). Risk evaluation of excavation based on fuzzy decision-making model. Automation in Construction. 136. 104143–104143. 51 indexed citations

12.

Lin, Song-Shun, Shui‐Long Shen, Ning Zhang, & Annan Zhou. (2021). Comprehensive environmental impact evaluation for concrete mixing station (CMS) based on improved TOPSIS method. Sustainable Cities and Society. 69. 102838–102838. 29 indexed citations

13.

Lin, Song-Shun, Shui‐Long Shen, Annan Zhou, & Ning Zhang. (2021). Ensemble model for risk status evaluation of excavation. Automation in Construction. 132. 103943–103943. 21 indexed citations

14.

Lin, Song-Shun, Shui‐Long Shen, Ning Zhang, & Annan Zhou. (2021). Method for lake eutrophication levels evaluation: TOPSIS-MCS. MethodsX. 8. 101311–101311. 1 indexed citations

15.

Lin, Song-Shun, Shui‐Long Shen, Ning Zhang, & Annan Zhou. (2021). Modelling the performance of EPB shield tunnelling using machine and deep learning algorithms. Geoscience Frontiers. 12(5). 101177–101177. 83 indexed citations

16.

Lin, Song-Shun, Ning Zhang, Annan Zhou, & Shui‐Long Shen. (2021). Time-series prediction of shield movement performance during tunneling based on hybrid model. Tunnelling and Underground Space Technology. 119. 104245–104245. 67 indexed citations

17.

Lin, Song-Shun, Shui‐Long Shen, Annan Zhou, & Ye‐Shuang Xu. (2020). Approach based on TOPSIS and Monte Carlo simulation methods to evaluate lake eutrophication levels. Water Research. 187. 116437–116437. 95 indexed citations

18.

Lin, Song-Shun, Shui‐Long Shen, Annan Zhou, & Ye‐Shuang Xu. (2020). Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods. Automation in Construction. 122. 103490–103490. 194 indexed citations breakdown →

19.

Lin, Song-Shun, Shui‐Long Shen, Annan Zhou, & Hai‐Min Lyu. (2020). Sustainable development and environmental restoration in Lake Erhai, China. Journal of Cleaner Production. 258. 120758–120758. 92 indexed citations

20.

Lin, Song-Shun, Shui‐Long Shen, Annan Zhou, & Hai‐Min Lyu. (2020). Assessment and management of lake eutrophication: A case study in Lake Erhai, China. The Science of The Total Environment. 751. 141618–141618. 269 indexed citations breakdown →

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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