Lingguang Song

1.5k total citations
48 papers, 1.2k citations indexed

About

Lingguang Song is a scholar working on Building and Construction, Civil and Structural Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Lingguang Song has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Building and Construction, 15 papers in Civil and Structural Engineering and 14 papers in Industrial and Manufacturing Engineering. Recurrent topics in Lingguang Song's work include BIM and Construction Integration (19 papers), Manufacturing Process and Optimization (8 papers) and Advanced Manufacturing and Logistics Optimization (8 papers). Lingguang Song is often cited by papers focused on BIM and Construction Integration (19 papers), Manufacturing Process and Optimization (8 papers) and Advanced Manufacturing and Logistics Optimization (8 papers). Lingguang Song collaborates with scholars based in United States, China and Canada. Lingguang Song's co-authors include Simaan AbouRizk, Mingchao Li, Neil N. Eldin, Qiubing Ren, Yasser Mohamed, Daan Liang, Denghua Zhong, Heng Li, Han Liu and Xiaoling Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Journal of Environmental Management.

In The Last Decade

Lingguang Song

46 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
Lingguang Song United States 18 456 441 361 149 110 48 1.2k
Ashraf Ahmed United Kingdom 19 511 1.1× 356 0.8× 185 0.5× 117 0.8× 42 0.4× 58 1.9k
Abdollah Ardeshir Iran 22 309 0.7× 456 1.0× 342 0.9× 66 0.4× 72 0.7× 71 1.3k
Mohsen Shahandashti United States 19 378 0.8× 473 1.1× 327 0.9× 97 0.7× 52 0.5× 121 1.2k
Ali Shehadeh Jordan 26 506 1.1× 428 1.0× 190 0.5× 89 0.6× 41 0.4× 49 1.3k
Cheng Zhang China 22 907 2.0× 356 0.8× 179 0.5× 212 1.4× 55 0.5× 114 1.6k
Susan M. Bogus United States 19 414 0.9× 171 0.4× 323 0.9× 95 0.6× 118 1.1× 64 1.1k
Odey Alshboul Jordan 23 442 1.0× 373 0.8× 182 0.5× 79 0.5× 40 0.4× 37 1.2k
Morteza Osanloo Iran 27 310 0.7× 368 0.8× 256 0.7× 33 0.2× 70 0.6× 58 1.9k
Zhen Hu China 25 1.1k 2.5× 463 1.0× 336 0.9× 220 1.5× 34 0.3× 92 2.0k
Janaka Y. Ruwanpura Canada 23 771 1.7× 386 0.9× 630 1.7× 117 0.8× 144 1.3× 105 1.6k

Countries citing papers authored by Lingguang Song

Since Specialization
Citations

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

Fields of papers citing papers by Lingguang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingguang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Lingguang Song. A scholar is included among the top collaborators of Lingguang Song 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 Lingguang Song. Lingguang Song 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.
Liang, Daan, et al.. (2022). Probabilistic Modeling of Small Business Recovery after a Hurricane: A Case Study of 2017 Hurricane Harvey. Natural Hazards Review. 24(1). 10 indexed citations
2.
Song, Lingguang, et al.. (2021). Productivity estimation of cutter suction dredger operation through data mining and learning from real-time big data. Engineering Construction & Architectural Management. 28(7). 2023–2041. 8 indexed citations
3.
Zhang, Jiawen, et al.. (2020). Nonlinear Dynamic Response of a CC-RCC Combined Dam Structure under Oblique Incidence of Near-Fault Ground Motions. Applied Sciences. 10(3). 885–885. 15 indexed citations
4.
Song, Lingguang, et al.. (2020). Pavement Condition Index Estimation Using Smartphone Based Accelerometers for City of Houston. Construction Research Congress 2020. 522–531. 4 indexed citations
5.
Bai, Shuo, et al.. (2020). Developing a Common Library of Prefabricated Structure Components through Graphic Media Mapping to Improve Design Efficiency. Journal of Construction Engineering and Management. 147(1). 19 indexed citations
6.
Ren, Qiubing, Mingchao Li, Lingguang Song, & Han Liu. (2020). An optimized combination prediction model for concrete dam deformation considering quantitative evaluation and hysteresis correction. Advanced Engineering Informatics. 46. 101154–101154. 85 indexed citations
7.
Kim, Kyungki, et al.. (2019). Using Immersive Augmented Reality to Assess the Effectiveness of Construction Safety Training. 9(4). 16–33. 11 indexed citations
8.
Song, Lingguang, et al.. (2016). State of Art on Site Space Modeling in Construction Projects. Proceedings of the ... ISARC. 2 indexed citations
9.
Song, Lingguang, et al.. (2016). Dynamic Space Conflict Modeling for Construction Operations. Proceedings of the ... ISARC. 1 indexed citations
10.
Song, Lingguang, et al.. (2015). A Cost Effective Material Tracking and Locating Solution for Material Laydown Yard. Procedia Engineering. 123. 538–545. 11 indexed citations
11.
Liang, Daan, et al.. (2012). Comparison of Sampling Methods for Post-Hurricane Damage Survey. Journal of Homeland Security and Emergency Management. 9(2). 4 indexed citations
12.
Song, Lingguang & Sang‐Hoon Lee. (2012). Stochastic Look-ahead Scheduling Method for Linear Construction Projects. SHILAP Revista de lepidopterología. 2(4). 252–252. 4 indexed citations
13.
Song, Lingguang & Daan Liang. (2011). Lean construction implementation and its implication on sustainability: a contractor’s case study. Canadian Journal of Civil Engineering. 38(3). 350–359. 43 indexed citations
14.
Wang, Xiaoling, et al.. (2009). An eco-environmental water demand based model for optimising water resources using hybrid genetic simulated annealing algorithms. Part II. Model application and results. Journal of Environmental Management. 90(8). 2612–2619. 22 indexed citations
15.
Song, Lingguang, et al.. (2009). Real-Time Simulation for Look-Ahead Scheduling of Heavy Construction Projects. 1318–1327. 8 indexed citations
16.
Wang, Xiaoling, et al.. (2009). An eco-environmental water demand based model for optimising water resources using hybrid genetic simulated annealing algorithms. Part I. Model development. Journal of Environmental Management. 90(8). 2628–2635. 26 indexed citations
17.
Song, Lingguang & Simaan AbouRizk. (2008). Measuring and Modeling Labor Productivity Using Historical Data. Journal of Construction Engineering and Management. 134(10). 786–794. 111 indexed citations
18.
Song, Lingguang & Simaan AbouRizk. (2006). Virtual Shop Model for Experimental Planning of Steel Fabrication Projects. Journal of Computing in Civil Engineering. 20(5). 308–316. 30 indexed citations
19.
Song, Lingguang & Simaan AbouRizk. (2003). Construction engineering and project management I: building a virtual shop model for steel fabrication. Winter Simulation Conference. 1510–1517. 2 indexed citations
20.
Song, Lingguang, Michael Allouche, & Simaan AbouRizk. (2003). Measuring and Estimating Steel Drafting Productivity. 1–9. 7 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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