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:

Prediction of Marshall stability of asphalt concrete reinforced with polypropylene fibre using different soft computing techniques
Samrity Jalota, Manju Suthar
Soft Computing (2023) Vol. 28, Iss. 2, pp. 1425-1444
Closed Access | Times Cited: 8

Showing 8 citing articles:

A Comparative Analysis of the Predictive Performance of Tree-Based and Artificial Neural Network Approaches for Compressive Strength of Concrete Utilising Waste
Suhaib Rasool Wani, Manju Suthar
International Journal of Pavement Research and Technology (2024)
Closed Access | Times Cited: 5

Performance evaluation of binders and bituminous concrete mixes modified with anti-stripping agents and polypropylene fibre
Samrity Jalota, Manju Suthar
Road Materials and Pavement Design (2025), pp. 1-23
Closed Access

Using soft computing to forecast the strength of concrete utilized with sustainable natural fiber reinforced polymer composites
Suhaib Rasool Wani, Manju Suthar
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 8, pp. 5847-5863
Closed Access | Times Cited: 4

Evaluating the efficiency of artificial neural networks and tree-based techniques for forecasting the flexural strength of concrete using waste foundry sand
Suhaib Rasool Wani, Manju Suthar
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 7, pp. 5481-5503
Closed Access | Times Cited: 3

A Deep Neural Network Approach towards Performance Prediction of Bituminous Mixtures Produced Using Secondary Raw Materials
Fabio Rondinella, Cristina Oreto, Francesco Abbondati, et al.
Coatings (2024) Vol. 14, Iss. 8, pp. 922-922
Open Access | Times Cited: 2

Influence of hybrid fibers on rheological properties of asphalt binders and its prediction with computing techniques
Haiqin Xu, Shaopeng Wu, Anqi Chen, et al.
Construction and Building Materials (2023) Vol. 401, pp. 132904-132904
Closed Access | Times Cited: 6

Modelling of Marshall stability of polypropylene fibre reinforced asphalt concrete using support vector machine and artificial neural network
Samrity Jalota, Manju Suthar
International Journal of Transportation Science and Technology (2024)
Open Access | Times Cited: 1

Utilising machine learning algorithms to predict the Marshall characteristics of asphalt pavement layers
Alyne Anak Tangga, Hussein A. L. Mufargi, Abdalrhman Milad, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 10
Closed Access | Times Cited: 1

Multi-objective optimization of MQL system parameters for the roller burnishing operation for energy saving, product quality and air pollution
An-Le Van, Trung-Thanh Nguyen, Dang Xuan Ba, et al.
Soft Computing (2023) Vol. 28, Iss. 2, pp. 1229-1254
Closed Access | Times Cited: 1

Page 1

Scroll to top