Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A hybrid wavelet-optimally-pruned extreme learning machine model for the estimation of international roughness index of rigid pavements
Mosbeh R. Kaloop, Sherif M. El-Badawy, Jungkyu Ahn, et al.
International Journal of Pavement Engineering (2020) Vol. 23, Iss. 3, pp. 862-876
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

An ensemble learning model for asphalt pavement performance prediction based on gradient boosting decision tree
Runhua Guo, Donglei Fu, Giuseppe Sollazzo
International Journal of Pavement Engineering (2021) Vol. 23, Iss. 10, pp. 3633-3646
Closed Access | Times Cited: 66
International Roughness Index prediction for flexible pavements using novel machine learning techniques
Mosbeh R. Kaloop, Sherif M. El-Badawy, Jong Wan Hu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106007-106007
Closed Access | Times Cited: 25
Predicting the International Roughness Index of JPCP and CRCP Rigid Pavement: A Random Forest (RF) Model Hybridized with Modified Beetle Antennae Search (MBAS) for Higher Accuracy
Ji Zhou, Mengmeng Zhou, Qiang Wang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 139, Iss. 2, pp. 1557-1582
Open Access | Times Cited: 11
An Explainable XGBoost Model for International Roughness Index Prediction and Key Factor Identification
Bin Lv, Haixia Gong, Dong Bin, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1893-1893
Open Access | Times Cited: 1
Machine Learning Approach to Predict International Roughness Index Using Long-Term Pavement Performance Data
Farshid Damirchilo, Arash Hosseini, Mahour Mellat Parast, et al.
Journal of Transportation Engineering Part B Pavements (2021) Vol. 147, Iss. 4
Closed Access | Times Cited: 43
A review on empirical methods of pavement performance modeling
Aihui Hu, Qiang Bai, Lin Chen, et al.
Construction and Building Materials (2022) Vol. 342, pp. 127968-127968
Closed Access | Times Cited: 33
Pavement Roughness Prediction Using Explainable and Supervised Machine Learning Technique for Long-Term Performance
Kelum Sandamal, J.P.S. Shashiprabha Madushani, Nitin Muttil, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9617-9617
Open Access | Times Cited: 18
Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms
Abdelhalim Azam, Abidhan Bardhan, Mosbeh R. Kaloop, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 26
Soft computing approaches towards tensile strength estimation of GFRP rebars subjected to alkaline-concrete environment
Mosbeh R. Kaloop, Pijush Samui, Mudassir Iqbal, et al.
Case Studies in Construction Materials (2022) Vol. 16, pp. e00955-e00955
Open Access | Times Cited: 23
Advanced Hybrid CNN-GRU Model for IRI Prediction in Flexible Asphalt Pavements
Yanan Wu, Qifan Zhang, Yi Wang, et al.
Journal of Transportation Engineering Part B Pavements (2025) Vol. 151, Iss. 2
Closed Access
MODELING OF PAVEMENT ROUGHNESS UTILIZING ARTIFICIAL NEURAL NETWORK APPROACH FOR LAOS NATIONAL ROAD NETWORK
Mohamed Gharieb, Takafumi Nishikawa, Shozo Nakamura, et al.
Journal of Civil Engineering and Management (2022) Vol. 28, Iss. 4, pp. 261-277
Open Access | Times Cited: 20
Artificial intelligence techniques for pavement performance prediction: a systematic review
Jeonghyun Kang, Pejoohan Tavassoti, Muhammad Nuh Ali Reza Chaudhry, et al.
Road Materials and Pavement Design (2024), pp. 1-26
Closed Access | Times Cited: 4
Evolution of prediction models for road surface irregularity: Trends, methods and future
Yanan Wu, Yafeng Pang, Xingyi Zhu
Construction and Building Materials (2024) Vol. 449, pp. 138316-138316
Closed Access | Times Cited: 4
Predicting IRI Using Machine Learning Techniques
Ankit Sharma, Shruti Sachdeva, Praveen Aggarwal
International Journal of Pavement Research and Technology (2021) Vol. 16, Iss. 1, pp. 128-137
Closed Access | Times Cited: 23
Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings
Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, et al.
Alexandria Engineering Journal (2024) Vol. 111, pp. 610-627
Closed Access | Times Cited: 3
Developing an improved extreme gradient boosting model for predicting the international roughness index of rigid pavement
Changbai Wang, Xiao Wei, Jimin Liu
Construction and Building Materials (2023) Vol. 408, pp. 133523-133523
Closed Access | Times Cited: 8
Machine Learning-Based Prediction of International Roughness Index for Continuous Reinforced Concrete Pavements
Ragaa T. Abd El-Hakim, Ahmed N. Awaad, Sherif M. El-Badawy
مجلة کلية دار العلوم (2024) Vol. 49, Iss. 3
Open Access | Times Cited: 2
Using a Bike as a Probe Vehicle: Experimental Study to Determine Road Roughness with Piezoelectric Sensors
Mehmet Rizelioğlu, Turan Arslan, Enes Yiğit, et al.
Journal of Infrastructure Systems (2024) Vol. 30, Iss. 3
Closed Access | Times Cited: 2
Enhancing local road pavement condition prediction using Bayesian-optimized ensemble machine learning and adaptive synthetic sampling technique
Nehal Elshaboury, Mohamed S. Yamany, Samuel Labi, et al.
International Journal of Pavement Engineering (2024) Vol. 25, Iss. 1
Closed Access | Times Cited: 2
Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys?
Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3377-3377
Open Access | Times Cited: 17
Modelling coagulant dosage in drinking water treatment plant using advance machine learning model: Hybrid extreme learning machine optimized by Bat algorithm
Hemza Boumezbeur, Fares Laouacheria, Salim Heddam, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 28, pp. 72463-72483
Closed Access | Times Cited: 6
Predicting Pavement Structural Condition Using Machine Learning Methods
Nazmus Sakib Ahmed, Nathan Huynh, Sarah L. Gassman, et al.
Sustainability (2022) Vol. 14, Iss. 14, pp. 8627-8627
Open Access | Times Cited: 8
Modeling Pavement Deterioration and Pavement Maintenance Management Optimization Model
Eman Magdy, Sherif M. El-Badawy, Morad Ibrahim, et al.
Journal of Transportation Engineering Part B Pavements (2024) Vol. 150, Iss. 2
Closed Access | Times Cited: 1
Influence Analysis of Pavement Distress on International Roughness Index Using Machine Learning
Kibeom Kwon, Hangseok Choi, Khanh Pham, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 10, pp. 4344-4355
Closed Access | Times Cited: 1
An interpretation framework of machine learning models: prediction of pavement long-term performance
Jiantao Wu, Jiaqi Chen, Quan Liu, et al.
International Journal of Pavement Engineering (2024) Vol. 25, Iss. 1
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top