Penghui Lin

420 total citations
17 papers, 307 citations indexed

About

Penghui Lin is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering. According to data from OpenAlex, Penghui Lin has authored 17 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Civil and Structural Engineering, 5 papers in Safety, Risk, Reliability and Quality and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Penghui Lin's work include Tunneling and Rock Mechanics (7 papers), Infrastructure Maintenance and Monitoring (5 papers) and Geotechnical Engineering and Analysis (5 papers). Penghui Lin is often cited by papers focused on Tunneling and Rock Mechanics (7 papers), Infrastructure Maintenance and Monitoring (5 papers) and Geotechnical Engineering and Analysis (5 papers). Penghui Lin collaborates with scholars based in Singapore, China and United States. Penghui Lin's co-authors include Limao Zhang, Robert L. K. Tiong, Zhonghua Xiao, Jing Guo, Yue Pan, Jian Zuo, Mingliang Fang, Ankang Ji, Zheng Wang and Huili Du and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Environmental Health Perspectives and Applied Energy.

In The Last Decade

Penghui Lin

15 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penghui Lin Singapore 9 124 56 53 53 53 17 307
Haitao Bian China 10 136 1.1× 20 0.4× 36 0.7× 26 0.5× 73 1.4× 24 326
Bingyu Ren China 11 229 1.8× 73 1.3× 41 0.8× 51 1.0× 33 0.6× 36 358
Pengyu Wang China 8 129 1.0× 48 0.9× 27 0.5× 25 0.5× 46 0.9× 24 285
Jessica Boakye United States 5 150 1.2× 20 0.4× 31 0.6× 31 0.6× 52 1.0× 10 353
Saeed Nozhati United States 11 323 2.6× 41 0.7× 51 1.0× 34 0.6× 23 0.4× 14 404
Jafar Jafari‐Asl Iran 13 312 2.5× 60 1.1× 50 0.9× 16 0.3× 62 1.2× 27 448
Zijian Wang China 12 216 1.7× 139 2.5× 40 0.8× 70 1.3× 25 0.5× 25 506
Duc Nguyen United States 9 71 0.6× 29 0.5× 20 0.4× 16 0.3× 60 1.1× 25 332

Countries citing papers authored by Penghui Lin

Since Specialization
Citations

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

Fields of papers citing papers by Penghui Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghui Lin

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

All Works

17 of 17 papers shown
1.
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
2.
Zhang, Limao, et al.. (2025). Physics-informed ensemble learning for robust tunnel-induced building settlement with sparse field measurement. Reliability Engineering & System Safety. 265. 111604–111604.
3.
Zhang, Limao, Jing Guo, Chao Chen, Penghui Lin, & Robert L. K. Tiong. (2025). Robust deep reinforcement learning for improved energy-comfort performance in HVAC systems. Building and Environment. 287. 113895–113895.
4.
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
5.
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
6.
Lin, Penghui, et al.. (2024). Physics-guided deep reinforcement learning for improved operation of TBM considering kinetic inertia stability. Advanced Engineering Informatics. 63. 102943–102943. 10 indexed citations
7.
Zhang, Limao, Jing Guo, Penghui Lin, & Robert L. K. Tiong. (2024). Detecting energy consumption anomalies with dynamic adaptive encoder-decoder deep learning networks. Renewable and Sustainable Energy Reviews. 207. 114975–114975. 3 indexed citations
8.
Zhang, Limao, et al.. (2024). Geological risk prediction under uncertainty in tunnel excavation using online learning and hidden Markov model. Frontiers of Engineering Management. 12(3). 447–466. 5 indexed citations
9.
Wang, Yongqi, et al.. (2023). Resilience-oriented design for complex MEP systems in BIM. Advanced Engineering Informatics. 55. 101902–101902. 9 indexed citations
10.
Zhao, Fanrong, Li Li, Penghui Lin, et al.. (2023). HExpPredict: In Vivo Exposure Prediction of Human Blood Exposome Using a Random Forest Model and Its Application in Chemical Risk Prioritization. Environmental Health Perspectives. 131(3). 37009–37009. 21 indexed citations
11.
Lin, Penghui, Limao Zhang, & Robert L. K. Tiong. (2023). Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI. Reliability Engineering & System Safety. 234. 109172–109172. 54 indexed citations
12.
13.
Lin, Penghui, Limao Zhang, & Robert L. K. Tiong. (2023). Multi-objective optimization ensembled generative design for large-diameter tunnel passing underneath existing tunnels. Applied Soft Computing. 144. 110448–110448. 5 indexed citations
14.
Lin, Penghui, et al.. (2023). Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability. Automation in Construction. 158. 105234–105234. 26 indexed citations
15.
Guo, Jing, Penghui Lin, Limao Zhang, Yue Pan, & Zhonghua Xiao. (2023). Dynamic adaptive encoder-decoder deep learning networks for multivariate time series forecasting of building energy consumption. Applied Energy. 350. 121803–121803. 41 indexed citations
16.
Lin, Penghui, Limao Zhang, & Jian Zuo. (2022). Data-driven prediction of building energy consumption using an adaptive multi-model fusion approach. Applied Soft Computing. 129. 109616–109616. 15 indexed citations
17.
Zhang, Limao & Penghui Lin. (2021). Multi-objective optimization for limiting tunnel-induced damages considering uncertainties. Reliability Engineering & System Safety. 216. 107945–107945. 86 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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