
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:
Random forest algorithm and support vector machine for nondestructive assessment of mass moisture content of brick walls in historic buildings
Anna Hoła, Sławomir Czarnecki
Automation in Construction (2023) Vol. 149, pp. 104793-104793
Closed Access | Times Cited: 32
Anna Hoła, Sławomir Czarnecki
Automation in Construction (2023) Vol. 149, pp. 104793-104793
Closed Access | Times Cited: 32
Showing 1-25 of 32 citing articles:
An Ultrasonic-AI Hybrid Approach for Predicting Void Defects in Concrete-Filled Steel Tubes via Enhanced XGBoost with Bayesian Optimization
Shuai Wan, Shaozhi Li, George Z. Chen, et al.
Case Studies in Construction Materials (2025), pp. e04359-e04359
Open Access | Times Cited: 6
Shuai Wan, Shaozhi Li, George Z. Chen, et al.
Case Studies in Construction Materials (2025), pp. e04359-e04359
Open Access | Times Cited: 6
Artificial intelligence-enhanced non-destructive defect detection for civil infrastructure
Yong‐Wei Zhang, Cheuk Lun Chow, Denvid Lau
Automation in Construction (2025) Vol. 171, pp. 105996-105996
Open Access | Times Cited: 2
Yong‐Wei Zhang, Cheuk Lun Chow, Denvid Lau
Automation in Construction (2025) Vol. 171, pp. 105996-105996
Open Access | Times Cited: 2
Predicting the performance and emissions of an HCCI-DI engine powered by waste cooking oil biodiesel with Al2O3 and FeCl3 nano additives and gasoline injection – A random forest machine learning approach
G. M. Lionus Leo, Ravikumar Jayabal, Dheepa Srinivasan, et al.
Fuel (2023) Vol. 357, pp. 129914-129914
Closed Access | Times Cited: 38
G. M. Lionus Leo, Ravikumar Jayabal, Dheepa Srinivasan, et al.
Fuel (2023) Vol. 357, pp. 129914-129914
Closed Access | Times Cited: 38
Fuzzy logic type-2 intelligent moisture control system
Marcin Woźniak, Józef Szczotka, Andrzej Sikora, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121581-121581
Open Access | Times Cited: 24
Marcin Woźniak, Józef Szczotka, Andrzej Sikora, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121581-121581
Open Access | Times Cited: 24
Burr constitution analysis in ultrasonic-assisted drilling of CFRP/nano-graphene via experimental and data-driven methodologies
Mohammad Baraheni, Behzad Hashemi Soudmand, Saeid Amini, et al.
Journal of Reinforced Plastics and Composites (2024)
Closed Access | Times Cited: 12
Mohammad Baraheni, Behzad Hashemi Soudmand, Saeid Amini, et al.
Journal of Reinforced Plastics and Composites (2024)
Closed Access | Times Cited: 12
A Hybrid Artificial Neural Network—Particle Swarm Optimization Algorithm Model for the Determination of Target Displacements in Mid-Rise Regular Reinforced-Concrete Buildings
Mehmet Fatih Işık, Fatih Avcil, Ehsan Harirchian, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9715-9715
Open Access | Times Cited: 18
Mehmet Fatih Işık, Fatih Avcil, Ehsan Harirchian, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9715-9715
Open Access | Times Cited: 18
Novel base predictive model of resilient modulus of compacted subgrade soils by using interpretable approaches with graphical user interface
Loai Alkhattabi, Kiran Arif
Materials Today Communications (2024) Vol. 40, pp. 109764-109764
Closed Access | Times Cited: 8
Loai Alkhattabi, Kiran Arif
Materials Today Communications (2024) Vol. 40, pp. 109764-109764
Closed Access | Times Cited: 8
Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods
Lili Zhou, Chenwei Nie, Tao Su, et al.
Agriculture (2023) Vol. 13, Iss. 4, pp. 895-895
Open Access | Times Cited: 15
Lili Zhou, Chenwei Nie, Tao Su, et al.
Agriculture (2023) Vol. 13, Iss. 4, pp. 895-895
Open Access | Times Cited: 15
Automated progress monitoring of land development projects using unmanned aerial vehicles and machine learning
Jen-Yu Han, Chin-Rou Hsu, Chun-Jia Huang
Automation in Construction (2024) Vol. 168, pp. 105827-105827
Closed Access | Times Cited: 4
Jen-Yu Han, Chin-Rou Hsu, Chun-Jia Huang
Automation in Construction (2024) Vol. 168, pp. 105827-105827
Closed Access | Times Cited: 4
Predicting and managing risk interactions and systemic risks in infrastructure projects using machine learning
Ahmed Moussa, Mohamed Ezzeldin, Wael El‐Dakhakhni
Automation in Construction (2024) Vol. 168, pp. 105836-105836
Open Access | Times Cited: 4
Ahmed Moussa, Mohamed Ezzeldin, Wael El‐Dakhakhni
Automation in Construction (2024) Vol. 168, pp. 105836-105836
Open Access | Times Cited: 4
Hybrid Predictive Maintenance for Building Systems: Integrating Rule-Based and Machine Learning Models for Fault Detection Using a High-Resolution Danish Dataset
Silvia Mazzetto
Buildings (2025) Vol. 15, Iss. 4, pp. 630-630
Open Access
Silvia Mazzetto
Buildings (2025) Vol. 15, Iss. 4, pp. 630-630
Open Access
A Novel PCA_ERF Method for Leakage Detection of District Heating System
Youen Zhao, Shoujun Zhou
Journal of Research in Science and Engineering (2025) Vol. 7, Iss. 3, pp. 42-50
Closed Access
Youen Zhao, Shoujun Zhou
Journal of Research in Science and Engineering (2025) Vol. 7, Iss. 3, pp. 42-50
Closed Access
An interpretable deep learning model for the accurate prediction of mean fragmentation size in blasting operations
Baoqian Huan, Xianglong Li, Jianguo Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Baoqian Huan, Xianglong Li, Jianguo Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Machine learning and optimization strategies for infrastructure projects risk management
Ahmed Moussa, Mohamed Ezzeldin, Wael El‐Dakhakhni
Construction Management and Economics (2025), pp. 1-26
Closed Access
Ahmed Moussa, Mohamed Ezzeldin, Wael El‐Dakhakhni
Construction Management and Economics (2025), pp. 1-26
Closed Access
Data-Driven Assessment of Complexity-Induced Risks in Infrastructure Projects
Ahmed Moussa, Mohamed Ezzeldin, Wael El‐Dakhakhni
Journal of Construction Engineering and Management (2025) Vol. 151, Iss. 7
Closed Access
Ahmed Moussa, Mohamed Ezzeldin, Wael El‐Dakhakhni
Journal of Construction Engineering and Management (2025) Vol. 151, Iss. 7
Closed Access
A hyperspectral band selection algorithm for identifying high oleic acid peanuts
Hui Shao, Xingyun Li, Long Sun, et al.
Journal of Near Infrared Spectroscopy (2024) Vol. 32, Iss. 1-2, pp. 10-17
Closed Access | Times Cited: 3
Hui Shao, Xingyun Li, Long Sun, et al.
Journal of Near Infrared Spectroscopy (2024) Vol. 32, Iss. 1-2, pp. 10-17
Closed Access | Times Cited: 3
Methodology of the quantitative assessment of the moisture content of saline brick walls in historic buildings using machine learning
Anna Hoła
Archives of Civil and Mechanical Engineering (2023) Vol. 23, Iss. 3
Open Access | Times Cited: 7
Anna Hoła
Archives of Civil and Mechanical Engineering (2023) Vol. 23, Iss. 3
Open Access | Times Cited: 7
Incorporating sparse model machine learning in designing cultural heritage landscapes
Parichehr Goodarzi, Mojtaba Ansari, Farzad Pour Rahimian, et al.
Automation in Construction (2023) Vol. 155, pp. 105058-105058
Closed Access | Times Cited: 7
Parichehr Goodarzi, Mojtaba Ansari, Farzad Pour Rahimian, et al.
Automation in Construction (2023) Vol. 155, pp. 105058-105058
Closed Access | Times Cited: 7
Non-destructive testing research on the surface damage faced by the Shanhaiguan Great Wall based on machine learning
Qian Li, Liang Zheng, Yile Chen, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 7
Qian Li, Liang Zheng, Yile Chen, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 7
Research on Diagnosis and Assessment Processes and Methods for Existing Residential Buildings Based on Intelligent Assistance Models
C.S. Liu, Qiong Zhang, Yue Fan, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3062-3062
Open Access | Times Cited: 2
C.S. Liu, Qiong Zhang, Yue Fan, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3062-3062
Open Access | Times Cited: 2
Visual Fatigue Prediction using Classification Model based on Physiological Responses of Occupants under Office Lightings
Dahyun Jung, Jongbaek An, Taehoon Hong, et al.
Journal of Building Engineering (2024), pp. 111146-111146
Closed Access | Times Cited: 2
Dahyun Jung, Jongbaek An, Taehoon Hong, et al.
Journal of Building Engineering (2024), pp. 111146-111146
Closed Access | Times Cited: 2
Identification of historic building “genes” based on deep learning: a case study on Chinese baroque architecture in Harbin, China
Long Shao, Jian‐Qiao Sun
Heritage Science (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Long Shao, Jian‐Qiao Sun
Heritage Science (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 4
A Novel Approach for Enhanced Real-Time Event Diagnosis for Grid Connected Microgrid with Multiple Distributed Energy Resources (DERs)
Bhuwan Pratap Singh, Sunil Kumar Goyal, Shahbaz Ahmed Siddiqui, et al.
International Journal of Mathematical Engineering and Management Sciences (2024) Vol. 9, Iss. 3, pp. 557-580
Open Access | Times Cited: 1
Bhuwan Pratap Singh, Sunil Kumar Goyal, Shahbaz Ahmed Siddiqui, et al.
International Journal of Mathematical Engineering and Management Sciences (2024) Vol. 9, Iss. 3, pp. 557-580
Open Access | Times Cited: 1
The Nitrate Cellulose Negatives: Degradation Study via Chemometric Methods
Anastasia Povolotckaia, Svetlana Kaputkina, I. V. Grigorieva, et al.
Heritage (2024) Vol. 7, Iss. 9, pp. 4712-4724
Open Access | Times Cited: 1
Anastasia Povolotckaia, Svetlana Kaputkina, I. V. Grigorieva, et al.
Heritage (2024) Vol. 7, Iss. 9, pp. 4712-4724
Open Access | Times Cited: 1
Verification of Non-Destructive Assessment of Moisture Content of Historical Brick Walls Using Random Forest Algorithm
Anna Hoła
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6006-6006
Open Access | Times Cited: 3
Anna Hoła
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 6006-6006
Open Access | Times Cited: 3