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:

Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods
Kerim Koç, Ömer Ekmekcioğlu, Aslı Pelin Gürgün
Engineering Construction & Architectural Management (2022) Vol. 30, Iss. 9, pp. 4486-4517
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications
Ahmed Bin Kabir Rabbi, Idris Jeelani
Automation in Construction (2024) Vol. 164, pp. 105443-105443
Closed Access | Times Cited: 18

Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities
Kayode O. Kazeem, Timothy O. Olawumi, Temidayo Oluwasola Osunsanmi
Buildings (2023) Vol. 13, Iss. 8, pp. 2061-2061
Open Access | Times Cited: 27

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: 23

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: 22

A Review on Challenges and Solutions in the Implementation of Ai, IoT and Blockchain in Construction Industry
Vishnuprasad V Prabhakar, C.S. Belarmin Xavier, K.M. Abubeker
Materials Today Proceedings (2023)
Closed Access | Times Cited: 21

The roles of patient‐derived xenograft models and artificial intelligence toward precision medicine
Venkatachalababu Janitri, K.N. ArulJothi, Vijay Murali Ravi Mythili, et al.
MedComm (2024) Vol. 5, Iss. 10
Open Access | Times Cited: 6

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: 25

Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions
Quoc Bao Pham, Ömer Ekmekcioğlu, Sk Ajim Ali, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110429-110429
Closed Access | Times Cited: 12

Role of National Conditions in Occupational Fatal Accidents in the Construction Industry Using Interpretable Machine Learning Approach
Kerim Koç
Journal of Management in Engineering (2023) Vol. 39, Iss. 6
Closed Access | Times Cited: 12

Exploring the metro construction accidents and causations for improving safety management based on data mining and network theory
Yongliang Deng, Zedong Liu, Liangliang Song, et al.
Engineering Construction & Architectural Management (2023) Vol. 31, Iss. 9, pp. 3508-3532
Closed Access | Times Cited: 11

Predicting Safety Accident Costs in Construction Projects Using Ensemble Data-Driven Models
Xin Xia, Pengcheng Xiang, Sadegh Khanmohammadi, et al.
Journal of Construction Engineering and Management (2024) Vol. 150, Iss. 7
Closed Access | Times Cited: 4

The Role of Artificial Intelligence in Improving Workplace Well-Being: A Systematic Review
Miguel-Ángel García-Madurga, Ana Isabel Gil‐Lacruz, María Isabel Saz Gil, et al.
Businesses (2024) Vol. 4, Iss. 3, pp. 389-410
Open Access | Times Cited: 4

A review of machine learning for analysing accident reports in the construction industry
May Shayboun, Dimosthenis Kifokeris, Christian Koch
Journal of Information Technology in Construction (2025) Vol. 30, pp. 439-460
Open Access

Artificial intelligence for enhanced decision-making in construction
Hosam Hegazy, Jiansong Zhang
Elsevier eBooks (2025), pp. 441-462
Closed Access

Fall-portent detection for construction sites based on computer vision and machine learning
X. Liu, Feng Xu, Zhipeng Zhang, et al.
Engineering Construction & Architectural Management (2023)
Closed Access | Times Cited: 9

Discovering the Research Topics on Construction Safety and Health Using Semi-Supervised Topic Modeling
Kai Zhou, Jun Wang, Baabak Ashuri, et al.
Buildings (2023) Vol. 13, Iss. 5, pp. 1169-1169
Open Access | Times Cited: 8

Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning
Kerim Koç, Cenk Budayan, Ömer Ekmekcioğlu, et al.
Journal of Construction Engineering and Management (2023) Vol. 150, Iss. 1
Closed Access | Times Cited: 8

Exploring associations between accident types and activities in construction using natural language processing
Numan Khan, Sylvie Nadeau, Xuan-Tan Pham, et al.
Automation in Construction (2024) Vol. 164, pp. 105457-105457
Open Access | Times Cited: 3

Recognizing sitting activities of excavator operators using multi-sensor data fusion with machine learning and deep learning algorithms
Jue Li, Gaotong Chen, Maxwell Fordjour Antwi‐Afari
Automation in Construction (2024) Vol. 165, pp. 105554-105554
Closed Access | Times Cited: 3

Role of Shapley Additive Explanations and Resampling Algorithms for Contract Failure Prediction of Public–Private Partnership Projects
Kerim Koç
Journal of Management in Engineering (2023) Vol. 39, Iss. 5
Closed Access | Times Cited: 7

Enhancing safety of construction workers in Korea: an integrated text mining and machine learning framework for predicting accident types
Joon Woo Yoo, Junsung Park, Heejun Park
International Journal of Injury Control and Safety Promotion (2024) Vol. 31, Iss. 2, pp. 203-215
Closed Access | Times Cited: 2

Determining susceptible body parts of construction workers due to occupational injuries using inclusive modelling
Kerim Koç, Ömer Ekmekcioğlu, Aslı Pelin Gürgün
Safety Science (2023) Vol. 164, pp. 106157-106157
Closed Access | Times Cited: 4

SGD-YOLOv5: A Small Object Detection Model for Complex Industrial Environments
Jiabin Pei, Xiaoming Wu, Xiangzhi Liu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 1, pp. 1-10
Closed Access | Times Cited: 1

İstanbul İçin CBS Tabanlı Makine Öğrenmesi İle Sel Duyarlılık Haritasının Oluşturulması
Zehra KOYUNCU, Ömer Ekmekcioğlu
Doğal Afetler ve Çevre Dergisi (2024) Vol. 10, Iss. 1, pp. 1-15
Open Access | Times Cited: 1

Barriers to the Application of Digital Technologies in Construction Health and Safety: A Systematic Review
Emmanuel Daniel, Olalekan Shamsideen Oshodi, Nnaemeka Nwankwo, et al.
Buildings (2024) Vol. 14, Iss. 8, pp. 2386-2386
Open Access | Times Cited: 1

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