Jin Zhu

1.3k total citations · 1 hit paper
62 papers, 962 citations indexed

About

Jin Zhu is a scholar working on Management Science and Operations Research, Civil and Structural Engineering and Building and Construction. According to data from OpenAlex, Jin Zhu has authored 62 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 18 papers in Civil and Structural Engineering and 12 papers in Building and Construction. Recurrent topics in Jin Zhu's work include Construction Project Management and Performance (18 papers), Infrastructure Resilience and Vulnerability Analysis (12 papers) and BIM and Construction Integration (8 papers). Jin Zhu is often cited by papers focused on Construction Project Management and Performance (18 papers), Infrastructure Resilience and Vulnerability Analysis (12 papers) and BIM and Construction Integration (8 papers). Jin Zhu collaborates with scholars based in United States, China and Canada. Jin Zhu's co-authors include Ali Mostafavi, Dezhi Li, Guanying Huang, Mysore G. Satish, Sudipta Chowdhury, Wei Zhang, Amvrossios C. Bagtzoglou, Edward J. Jaselskis, Mostafa Batouli and Hao Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Applied Mechanics.

In The Last Decade

Jin Zhu

57 papers receiving 927 citations

Hit Papers

Influencing factors and their influencing mechanisms on u... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Zhu United States 16 258 234 192 186 134 62 962
Nazli Yonca Aydin Netherlands 13 261 1.0× 135 0.6× 113 0.6× 142 0.8× 318 2.4× 27 1.1k
Samuel A. Markolf United States 14 241 0.9× 90 0.4× 69 0.4× 139 0.7× 190 1.4× 21 800
Soheil Sabri Australia 18 170 0.7× 76 0.3× 392 2.0× 136 0.7× 83 0.6× 60 1.1k
B.J.M. Ale Netherlands 28 225 0.9× 197 0.8× 61 0.3× 90 0.5× 261 1.9× 96 2.5k
Ye Xu China 20 145 0.6× 215 0.9× 74 0.4× 164 0.9× 100 0.7× 81 1.3k
Hsi-Hsien Wei Hong Kong 22 271 1.1× 129 0.6× 464 2.4× 130 0.7× 165 1.2× 70 1.3k
Daniela Fuchs-Hanusch Austria 16 360 1.4× 271 1.2× 57 0.3× 161 0.9× 49 0.4× 54 1.1k
Stefan Hirschberg Switzerland 25 185 0.7× 85 0.4× 83 0.4× 403 2.2× 260 1.9× 63 1.8k
Yan Tu China 20 107 0.4× 301 1.3× 54 0.3× 70 0.4× 192 1.4× 65 1.0k
Pengyu Chen China 7 103 0.4× 211 0.9× 62 0.3× 69 0.4× 41 0.3× 16 856

Countries citing papers authored by Jin Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Zhu. A scholar is included among the top collaborators of Jin Zhu 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 Jin Zhu. Jin Zhu 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.
Zhu, Jin, et al.. (2025). Analyzing structural inequalities in natural hazard-induced power outages: A spatial-statistical approach. International Journal of Disaster Risk Reduction. 117. 105184–105184. 3 indexed citations
3.
Chowdhury, Sudipta, et al.. (2024). Exploring Sustainability in Resource Management: Implementation of a Water–Energy–Human Nexus Framework at a University Campus. Journal of Construction Engineering and Management. 150(10). 2 indexed citations
5.
Huang, Yuankai, et al.. (2023). Next generation decentralized water systems: a water-energy-infrastructure-human nexus (WEIHN) approach. Environmental Science Water Research & Technology. 9(10). 2446–2471. 15 indexed citations
6.
Zhu, Jin, et al.. (2023). Personalized Vulnerability Assessment of Customized Low-Rise Wood-Frame Residential Structures under Hurricane Wind Loads: A Flexible Scenario-Based Simulation Approach. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 9(3). 4 indexed citations
7.
Zhang, Wei, et al.. (2022). A Fragility-Weighted Topological Network for Resilient Assessment of Overhead Power Distribution System Subjected to Hurricane Winds. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 8(2). 5 indexed citations
8.
Chowdhury, Sudipta & Jin Zhu. (2022). The Usage of Association Rule Mining towards Future-Proofed Transportation Infrastructure Planning. 18. 753–761. 2 indexed citations
10.
Zhu, Jin & Sudipta Chowdhury. (2019). Towards the Ontology Development for Smart Transportation Infrastructure Planning via Topic Modeling. Proceedings of the ... ISARC. 5 indexed citations
11.
Batouli, Mostafa, et al.. (2019). Critical Factors for Improving Reliability of Project Control Metrics throughout Project Life Cycle. Journal of Management in Engineering. 36(1). 24 indexed citations
12.
Zhu, Jin, et al.. (2017). Assessment of Infrastructure Resilience in the 2015 Gorkha, Nepal, Earthquake. Earthquake Spectra. 33(1S). 147–165. 27 indexed citations
13.
Zhu, Jin & Ali Mostafavi. (2017). Performance Assessment in Complex Engineering Projects Using a System-of-Systems Framework. IEEE Systems Journal. 12(1). 262–273. 30 indexed citations
14.
Zhu, Jin & Ali Mostafavi. (2015). Ex-ante assessment of vulnerability to uncertainty in complex construction project organizations. Open Collections. 5 indexed citations
15.
Batouli, Mostafa, Omar Swei, Jin Zhu, et al.. (2015). A Simulation Framework for Network Level Cost Analysis in Infrastructure Systems. 12. 588–595. 7 indexed citations
16.
Zhu, Jin & Ali Mostafavi. (2014). Integrated simulation approach for assessment of performance in construction projects: a system-of-systems framework. Winter Simulation Conference. 3284–3295. 5 indexed citations
17.
Zhu, Jin & Ali Mostafavi. (2014). Towards a new paradigm for management of complex engineering projects: A system-of-systems framework. 213–219. 23 indexed citations
18.
Zhu, Jin & Ali Mostafavi. (2014). Integrated simulation approach for assessment of performance in construction projects: A system-of-systems framework. Proceedings of the Winter Simulation Conference 2014. 103. 3284–3295. 1 indexed citations
19.
Nie, Suping, Jin Zhu, & Yiqi Luo. (2011). Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: identical twin experiments. Hydrology and earth system sciences. 15(8). 2437–2457. 28 indexed citations
20.
Li, Dezhi, et al.. (2011). An emergy analysis-based methodology for eco-efficiency evaluation of building manufacturing. Ecological Indicators. 11(5). 1419–1425. 46 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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