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 novel hybrid model of augmented grey wolf optimizer and artificial neural network for predicting shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 2, pp. 2327-2347
Closed Access | Times Cited: 19

Showing 19 citing articles:

Prediction of permeability coefficient of soil using hybrid artificial neural network models
Majid M. Kharnoob, Tarak Vora, A K Dasarathy, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 1
Implementing ensemble learning models for the prediction of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 7, pp. 2103-2119
Closed Access | Times Cited: 25
Utilization of Tree-Based Ensemble Models for Predicting the Shear Strength of Soil
Ahsan Rabbani, Jan Afzal Muslih, Mukul Saxena, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 4, pp. 2382-2405
Closed Access | Times Cited: 11
Optimized ANN-based approach for estimation of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3627-3640
Closed Access | Times Cited: 16
Optimization of an Artificial Neural Network Using Four Novel Metaheuristic Algorithms for the Prediction of Rock Fragmentation in Mine Blasting
Ahsan Rabbani, Divesh Ranjan Kumar, Yewuhalashet Fissha, et al.
Journal of The Institution of Engineers (India) Series D (2024)
Closed Access | Times Cited: 5
Machine learning techniques and multivariable mathematical models for predicting modified soil compaction parameters based on particle size and consistency limits
Bashdar Omer
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access
Sustainable Method for Determining Shear Strength Parameters by Machine Learning
Jnanendra Vijay Kumar Chorapalli, Soukat Kumar Das
Lecture notes in civil engineering (2025), pp. 1437-1450
Closed Access
Optimization of artificial neural network for predicting radon exhalation rates and effective radium content in soil samples
Selin Erzin
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations
Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting backbreak due to blasting using LSSVM optimized by metaheuristic algorithms
Niaz Muhammad Shahani, Xigui Zheng
Environmental Earth Sciences (2025) Vol. 84, Iss. 6
Closed Access
Particle swarm and grey wolf optimization: enhancing groundwater quality models through artificial neural networks
Soheil Sahour, Matin Khanbeyki, Vahid Gholami, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 3, pp. 993-1007
Closed Access | Times Cited: 12
A comprehensive study on the application of soft computing methods in predicting and evaluating rock fragmentation in an opencast mining
Ahsan Rabbani, Hanan Samadi, Yewuhalashet Fissha, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 3
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1708-1729
Closed Access | Times Cited: 10
Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach
Masoud Samaei, Morteza Alinejad Omran, Mohsen Keramati, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4507-4526
Closed Access | Times Cited: 2
Predicting the Power Requirement of Agricultural Machinery Using ANN and Regression Models and the Optimization of Parameters Using an ANN–PSO Technique
Ganesh Upadhyay, Neeraj Kumar, Hifjur Raheman, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 185-204
Open Access | Times Cited: 1
Uncertainty reduction with Hyperparameter Optimization in mineral prospectivity mapping: A Regularized Artificial Neural Network approach
Mirakbar Seyedhamzeh, Abbas Maghsoudi, Reza Ghezelbash, et al.
Research Square (Research Square) (2024)
Open Access
A hybrid learning approach for simulating settlement of shallow foundation
Jiaman Li, Jundong Wu, Wei Hu
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access
Assessment of soil classification using soft computing approaches for Erenler (Afyonkarahisar) region
Sami Serkan İşoğlu, Ahmet Yıldız, Mahmut Mutlutürk, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Optimized ANN-based Approach for Estimation of Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Research Square (Research Square) (2023)
Open Access
Page 1

Scroll to top