Limao Zhang

13.7k total citations · 5 hit papers
278 papers, 9.8k citations indexed

About

Limao Zhang is a scholar working on Civil and Structural Engineering, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Limao Zhang has authored 278 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Civil and Structural Engineering, 78 papers in Building and Construction and 62 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Limao Zhang's work include Infrastructure Maintenance and Monitoring (62 papers), Tunneling and Rock Mechanics (49 papers) and Geotechnical Engineering and Analysis (48 papers). Limao Zhang is often cited by papers focused on Infrastructure Maintenance and Monitoring (62 papers), Tunneling and Rock Mechanics (49 papers) and Geotechnical Engineering and Analysis (48 papers). Limao Zhang collaborates with scholars based in China, Singapore and United States. Limao Zhang's co-authors include Yue Pan, Xianguo Wu, Mirosław J. Skibniewski, Xianlei Fu, Lieyun Ding, Hongyu Chen, Robert L. K. Tiong, Kai Guo, Simaan AbouRizk and Penghui Lin and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Environmental Health Perspectives.

In The Last Decade

Limao Zhang

271 papers receiving 9.5k citations

Hit Papers

5 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.

Roles of artificial intelligence in construction engineering and management: A critical review and future trends

2020 687 citations Limao Zhang et al. Automation in Construction profile →
A BIM-data mining integrated digital twin framework for advanced project management

2021 317 citations Limao Zhang et al. Automation in Construction profile →
Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions

2022 201 citations Limao Zhang et al. profile →
Data-driven estimation of building energy consumption and GHG emissions using explainable artificial intelligence

2022 120 citations Yan Zhang, Limao Zhang et al. Energy profile →
Advanced informatic technologies for intelligent construction: A review

2024 53 citations Limao Zhang et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Limao Zhang China	53	3.5k	2.9k	1.4k	1.4k	1.1k	278	9.8k
Lieyun Ding China	56	3.2k 0.9×	3.1k 1.1×	1.1k 0.8×	1.2k 0.9×	457 0.4×	181	9.0k
Hanbin Luo China	52	2.8k 0.8×	3.1k 1.1×	761 0.5×	1.1k 0.8×	300 0.3×	159	8.3k
Mirosław J. Skibniewski United States	55	2.0k 0.6×	3.6k 1.3×	801 0.6×	3.5k 2.6×	368 0.3×	335	10.1k
Tarek Zayed Hong Kong	53	5.0k 1.4×	3.1k 1.1×	311 0.2×	2.1k 1.5×	1.5k 1.3×	497	10.5k
Xianguo Wu China	38	1.5k 0.4×	1.2k 0.4×	987 0.7×	577 0.4×	415 0.4×	110	4.1k
Solomon Tesfamariam Canada	44	4.1k 1.2×	1.4k 0.5×	287 0.2×	753 0.6×	659 0.6×	265	7.1k
Jui‐Sheng Chou Taiwan	49	2.6k 0.7×	2.3k 0.8×	330 0.2×	1.3k 1.0×	396 0.4×	190	8.5k
Paolo Gardoni United States	55	8.1k 2.3×	1.6k 0.6×	965 0.7×	198 0.1×	738 0.7×	338	10.9k
Sankaran Mahadevan United States	71	4.9k 1.4×	675 0.2×	1.7k 1.2×	2.7k 2.0×	458 0.4×	521	18.1k
Bilal M. Ayyub United States	37	2.6k 0.7×	743 0.3×	484 0.3×	697 0.5×	339 0.3×	243	5.2k

Countries citing papers authored by Limao Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Limao Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limao Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Limao Zhang. A scholar is included among the top collaborators of Limao Zhang 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 Limao Zhang. Limao Zhang 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

Chen, Chao, et al.. (2025). Physics-informed explainable encoder-decoder deep learning for predictive estimation of building carbon emissions. Renewable and Sustainable Energy Reviews. 213. 115478–115478. 5 indexed citations

Wang, Jiaqi, et al.. (2025). Multi-source information fusion for dynamic safety risk prediction of aerial building machine using spatial–temporal multi-graph convolution network. Advanced Engineering Informatics. 65. 103261–103261. 5 indexed citations

Wang, Lulu, Penghui Lin, Yongsheng Li, Hui Luo, & Limao Zhang. (2025). Physics-informed online deep learning for advanced control of shield tail clearance in tunnel construction. Frontiers of Engineering Management. 12(4). 828–853. 1 indexed citations

Zhang, Zhaoxiang, et al.. (2025). Unsupervised seepage segmentation pipeline based on point cloud projection with large vision model. Tunnelling and Underground Space Technology. 158. 106410–106410.

Pan, Yue, et al.. (2024). Deep reinforcement learning for multi-objective optimization in BIM-based green building design. Automation in Construction. 166. 105598–105598. 42 indexed citations

Lin, Penghui, et al.. (2024). Automated position control of tunnel boring machine during excavation using deep reinforcement learning. Applied Soft Computing. 167. 112234–112234. 8 indexed citations

Zhang, Limao, et al.. (2024). Dual hierarchical attention-enhanced transfer learning for semantic segmentation of point clouds in building scene understanding. Automation in Construction. 168. 105799–105799. 6 indexed citations

Fu, Xianlei, Robert L. K. Tiong, & Limao Zhang. (2024). EMNet: An ensemble deep learning approach for geological condition detection in tunnel excavation. Expert Systems with Applications. 261. 125484–125484. 4 indexed citations

Zhang, Yan, et al.. (2024). Data-driven optimization for mitigating energy consumption and GHG emissions in buildings. Environmental Impact Assessment Review. 107. 107571–107571. 10 indexed citations

10.

Zhang, Limao, et al.. (2024). Zone-based many-objective building decarbonization considering outdoor temperature and occupation uncertainty. Renewable and Sustainable Energy Reviews. 208. 115003–115003. 3 indexed citations

11.

Ji, Ankang, Renfei He, Weiyi Chen, & Limao Zhang. (2024). Computational methodologies for critical infrastructure resilience modeling: A review. Advanced Engineering Informatics. 62. 102663–102663. 17 indexed citations

12.

Zhang, Limao, et al.. (2024). Estimating urban land subsidence with satellite data using a spatially multiscale geographically weighted regression approach. Measurement. 228. 114387–114387. 8 indexed citations

13.

Zhang, Yan, et al.. (2024). Multi-objective optimization for energy-efficient building design considering urban heat island effects. Applied Energy. 376. 124117–124117. 30 indexed citations

14.

Wang, Yongqi, et al.. (2023). Resilience-oriented design for complex MEP systems in BIM. Advanced Engineering Informatics. 55. 101902–101902. 9 indexed citations

15.

Zhang, Yan, et al.. (2023). Exploring driving force factors of building energy use and GHG emission using a spatio-temporal regression method. Energy. 269. 126747–126747. 19 indexed citations

16.

He, Renfei, Limao Zhang, & Alvin Wei Ze Chew. (2023). Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning. Expert Systems with Applications. 235. 121160–121160. 40 indexed citations

17.

Xie, Nenggang, et al.. (2023). A simulation-aided approach in examining the viability of passive daylighting techniques on inclined windows. Energy and Buildings. 282. 112739–112739. 9 indexed citations

18.

Guo, Kai, et al.. (2023). Simulation-based multi-objective optimization towards proactive evacuation planning at metro stations. Engineering Applications of Artificial Intelligence. 120. 105858–105858. 11 indexed citations

19.

Zhang, Zhaoxiang, et al.. (2023). Deep learning for large-scale point cloud segmentation in tunnels considering causal inference. Automation in Construction. 152. 104915–104915. 20 indexed citations

20.

Chang, Leilei, et al.. (2023). Safety assessment of tunnel construction based on counterintuitivity detection using multi-profile multi-model ensemble learning. Expert Systems with Applications. 240. 122459–122459. 1 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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