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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Application of machine learning techniques for predicting the consequences of construction accidents in China
Rongchen Zhu, Xiaofeng Hu, Jiaqi Hou, et al.
Process Safety and Environmental Protection (2020) Vol. 145, pp. 293-302
Closed Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Multi-objective optimization for improved project management: Current status and future directions
Kai Guo, Limao Zhang
Automation in Construction (2022) Vol. 139, pp. 104256-104256
Closed Access | Times Cited: 113
Causal analysis of accidents on construction sites: A hybrid fuzzy Delphi and DEMATEL approach
Saeed Reza Mohandes, Haleh Sadeghi, Abdulwahed Fazeli, et al.
Safety Science (2022) Vol. 151, pp. 105730-105730
Closed Access | Times Cited: 80
Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction
Irfan Ullah, Kai Liu, Toshiyuki Yamamoto, et al.
Travel Behaviour and Society (2022) Vol. 31, pp. 78-92
Closed Access | Times Cited: 74
Determining the critical risk factors for predicting the severity of ship collision accidents using a data-driven approach
He Lan, Xiaoxue Ma, Weiliang Qiao, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108934-108934
Closed Access | Times Cited: 62
Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4050-4050
Open Access | Times Cited: 43
Enhancing construction safety: Machine learning-based classification of injury types
Maryam Alkaissy, Mehrdad Arashpour, Emadaldin Mohammadi Golafshani, et al.
Safety Science (2023) Vol. 162, pp. 106102-106102
Open Access | Times Cited: 32
Construction safety predictions with multi-head attention graph and sparse accident networks
Fatemeh Mostofi, Vedat Toğan
Automation in Construction (2023) Vol. 156, pp. 105102-105102
Closed Access | Times Cited: 26
Managing Safety Risks from Overlapping Construction Activities: A BIM Approach
Armin Rashidi Nasab, Hassan Malekitabar, Hazem Elzarka, et al.
Buildings (2023) Vol. 13, Iss. 10, pp. 2647-2647
Open Access | Times Cited: 22
Modification of HFACS model for path identification of causal factors of collapse accidents in the construction industry
Haonan Qi, Zhipeng Zhou, Javier Irizarry, et al.
Engineering Construction & Architectural Management (2024)
Closed Access | Times Cited: 13
A novel hybrid model combined with ensemble embedded feature selection method for estimating reference evapotranspiration in the North China Plain
Hanmi Zhou, Linshuang Ma, Xiaoli Niu, et al.
Agricultural Water Management (2024) Vol. 296, pp. 108807-108807
Open Access | Times Cited: 8
Implication of novel hybrid machine learning model for flood subsidence susceptibility mapping: A representative case study in Saudi Arabia
Ahmed M. Al‐Areeq, Radhwan A. A. Saleh, Mustafa Ghaleb, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130692-130692
Closed Access | Times Cited: 7
Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction
Kerim Koç, Ömer Ekmekcioğlu, Aslı Pelin Gürgün
Journal of Construction Engineering and Management (2023) Vol. 149, Iss. 4
Closed Access | Times Cited: 21
Computer vision and IoT research landscape for health and safety management on construction sites
Sameen Arshad, Olúgbénga O. Akinadé, Sururah A. Bello, et al.
Journal of Building Engineering (2023) Vol. 76, pp. 107049-107049
Open Access | Times Cited: 20
Using cased based reasoning for automated safety risk management in construction industry
Ying Lu, Le Yin, Yunxuan Deng, et al.
Safety Science (2023) Vol. 163, pp. 106113-106113
Closed Access | Times Cited: 19
A Bibliometric Review on Safety Risk Assessment of Construction Based on CiteSpace Software and WoS Database
Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11803-11803
Open Access | Times Cited: 18
Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches
Haonan Qi, Zhipeng Zhou, Javier Irizarry, et al.
Journal of Management in Engineering (2023) Vol. 40, Iss. 1
Closed Access | Times Cited: 18
Critical review on data-driven approaches for learning from accidents: Comparative analysis and future research
Yi Niu, Yunxiao Fan, Xing Ju
Safety Science (2023) Vol. 171, pp. 106381-106381
Closed Access | Times Cited: 17
Causative factors and risk prediction model of hydrogen leakage accidents: Machine learning based on case evidence
Ying Lu, Xibei Zhang, Jingwen Wang, et al.
International Journal of Hydrogen Energy (2024) Vol. 63, pp. 294-307
Closed Access | Times Cited: 7
A novel voting ensemble model empowered by metaheuristic feature selection for accurate flash flood susceptibility mapping
Radhwan A. A. Saleh, Ahmed M. Al‐Areeq, Amran A. Al Aghbari, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Examining safety conditions in the construction sector across Chinese provinces: an input-output analysis
Liangguo Kang
Environment Development and Sustainability (2025)
Closed Access
Comparative Analysis of Deep Learning Algorithms for Predicting Construction Project Delays in Saudi Arabia
Saleh Alsulamy
Applied Soft Computing (2025), pp. 112890-112890
Closed Access
Classification of Damage on Wind Turbine Blades Using Automatic Machine Learning and Pressure Coefficient
Javier A. Carmona‐Troyo, Leonardo Trujillo, J. Enríquez‐Zárate, et al.
Expert Systems (2025) Vol. 42, Iss. 4
Closed Access
Fault detection of petrochemical process based on space-time compressed matrix and Naive Bayes
Zhenyu Deng, Te Han, Zhonghai Cheng, et al.
Process Safety and Environmental Protection (2022) Vol. 160, pp. 327-340
Closed Access | Times Cited: 25
Construction Safety Risk Model with Construction Accident Network: A Graph Convolutional Network Approach
Fatemeh Mostofi, Vedat Toğan, Yunus Emre Ayözen, et al.
Sustainability (2022) Vol. 14, Iss. 23, pp. 15906-15906
Open Access | Times Cited: 24
Classification machine learning models for urban flood hazard mapping: case study of Zaio, NE Morocco
Maelaynayn El baida, Farid Boushaba, Mimoun Chourak, et al.
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 10013-10041
Closed Access | Times Cited: 4
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