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:
Optimization of Tuff Stones Content in Lightweight Concrete Using Artificial Neural Networks
Amjad A. Yasin, Mohammad T. Awwad, Ahmad B. Malkawi, et al.
Civil Engineering Journal (2023) Vol. 9, Iss. 11, pp. 2823-2833
Open Access | Times Cited: 6
Amjad A. Yasin, Mohammad T. Awwad, Ahmad B. Malkawi, et al.
Civil Engineering Journal (2023) Vol. 9, Iss. 11, pp. 2823-2833
Open Access | Times Cited: 6
Showing 6 citing articles:
A machine learning approach to predicting pervious concrete properties: a review
Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 2
Closed Access
Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam
Innovative Infrastructure Solutions (2025) Vol. 10, Iss. 2
Closed Access
Enhancement of artificial tuff sand by permeated nano crystallization and the application on ecological UHPC as aggregate
Rui Ma, Hu Xun, Zhan Hanzhang, et al.
Case Studies in Construction Materials (2025), pp. e04524-e04524
Open Access
Rui Ma, Hu Xun, Zhan Hanzhang, et al.
Case Studies in Construction Materials (2025), pp. e04524-e04524
Open Access
Prediction of the Dynamic Properties of Concrete Using Artificial Neural Networks
Amjad A. Yasin
Civil Engineering Journal (2024) Vol. 10, Iss. 1, pp. 249-264
Open Access | Times Cited: 3
Amjad A. Yasin
Civil Engineering Journal (2024) Vol. 10, Iss. 1, pp. 249-264
Open Access | Times Cited: 3
Artificial Neural Network-Based Prediction of Physical and Mechanical Properties of Concrete Containing Glass Aggregates
Faroq Maraqa, Amjad A. Yasin, Eid Al-Sahawneh, et al.
Civil Engineering Journal (2024) Vol. 10, Iss. 5, pp. 1627-1644
Open Access | Times Cited: 1
Faroq Maraqa, Amjad A. Yasin, Eid Al-Sahawneh, et al.
Civil Engineering Journal (2024) Vol. 10, Iss. 5, pp. 1627-1644
Open Access | Times Cited: 1
Prediction of compressive strength of concrete under various curing conditions: a comparison of machine learning models and empirical mathematical models
Bochao Sun, Yuxiang Huang, Gaoyang Liu, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 7
Closed Access | Times Cited: 1
Bochao Sun, Yuxiang Huang, Gaoyang Liu, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 7
Closed Access | Times Cited: 1
Prediction of mechanical properties of manufactured sand polymer-modified mortar based on swarm intelligence algorithm
Haozheng Tian, Yunsheng Zhang, Hongxia Qiao, et al.
Journal of Building Engineering (2024), pp. 111093-111093
Closed Access
Haozheng Tian, Yunsheng Zhang, Hongxia Qiao, et al.
Journal of Building Engineering (2024), pp. 111093-111093
Closed Access
Prediction of fresh and hardened concrete properties using machine learning algorithms
Pranjal V. Chechani, Shashi Bhushan Kumar, Subhro Chakraborty, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 12
Closed Access
Pranjal V. Chechani, Shashi Bhushan Kumar, Subhro Chakraborty, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 12
Closed Access
