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OpenAlex Citation Counts

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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:

Reliability and Prediction of Embedment Depth of Sheet pile Walls Using Hybrid ANN with Optimization Techniques
T. Pradeep, Anasua GuhaRay, Abidhan Bardhan, et al.
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 10, pp. 12853-12871
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Novel neural network-based metaheuristic models for the stability prediction of rectangular trapdoors in anisotropic and non-homogeneous clay
Kongtawan Sangjinda, Divesh Ranjan Kumar, Suraparb Keawsawasvong, et al.
Advances in Engineering Software (2024) Vol. 193, pp. 103668-103668
Closed Access | Times Cited: 11
Prediction of probability of liquefaction using hybrid ANN with optimization techniques
Divesh Ranjan Kumar, Pijush Samui, Avijit Burman
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 20
Closed Access | Times Cited: 35
Optimized neural network-based state-of-the-art soft computing models for the bearing capacity of strip footings subjected to inclined loading
Divesh Ranjan Kumar, Warit Wipulanusat, Manish Kumar, et al.
Intelligent Systems with Applications (2023) Vol. 21, pp. 200314-200314
Open Access | Times Cited: 20
Performance Evaluation and Triangle Diagram of Deep Learning Models for Embedment Depth Prediction in Cantilever Sheet Piles
Thalappil Pradeep, Divesh Ranjan Kumar, Nitish Kumar, et al.
Engineered Science (2024)
Open Access | Times Cited: 6
Performance comparison of machine learning algorithms for maximum displacement prediction in soldier pile wall excavation
Danial Sheini Dashtgoli, Mohammad Hossein Dehnad, Seyed Ahmad Mobinipour, et al.
Underground Space (2024) Vol. 16, pp. 301-313
Open Access | Times Cited: 5
Reliability-Based Design for Strip-Footing Subjected to Inclined Loading Using Hybrid LSSVM ML Models
Manish Kumar, Divesh Ranjan Kumar, Warit Wipulanusat
Geotechnical and Geological Engineering (2024)
Closed Access | Times Cited: 5
Optimizing compressive strength prediction of sustainable concrete using ternary‐blended agro‐waste ash, sugarcane bagasse ash, and rice husk ash with soft computing techniques
Pavan A. Nadgouda, Divesh Ranjan Kumar, Anil Kumar Sharma, et al.
Structural Concrete (2025)
Closed Access
Prediction of Rock Strain Using Hybrid Approach of Ann and Optimization Algorithms
T. Pradeep, Pijush Samui
Geotechnical and Geological Engineering (2022) Vol. 40, Iss. 9, pp. 4617-4643
Closed Access | Times Cited: 22
Intelligent computing hybrid models on estimating the consolidation settlement of shallow foundations
J. Jagan, Pijush Samui
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3579-3596
Closed Access | Times Cited: 3
A novel Hybrid XGBoost Methodology in Predicting Penetration Rate of Rotary Based on Rock-Mass and Material Properties
Mohammad Mirzehi, Zohre Nabavi, Danial Jahed Armaghani
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 4, pp. 5225-5241
Open Access | Times Cited: 9
Experimental Study on the Hydraulic Performance of Porous Broad-Crested Weirs with Sloping Crests
Mehrdad Doustkam, Mostafa Rahmanshahi, Manoochehr Fathi-Moghadam, et al.
Water Resources Management (2024) Vol. 38, Iss. 12, pp. 4783-4802
Closed Access | Times Cited: 3
Deep learning-based methods in structural reliability analysis: a review
Sajad Saraygord Afshari, Chuan Zhao, Xinchen Zhuang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 072001-072001
Open Access | Times Cited: 8
Analysis of discharge characteristics of a symmetrical stepped labyrinth side weir based on global sensitivity
Wuyi Wan, Guiying Shen, Shanshan Li, et al.
Journal of Hydroinformatics (2023) Vol. 26, Iss. 1, pp. 337-349
Open Access | Times Cited: 8
Hybrid Ensemble Model for Predicting the Strength of FRP Laminates Bonded to the Concrete
Anas Abdulalem Alabdullh, Rahul Biswas, Jitendra Gudainiyan, et al.
Polymers (2022) Vol. 14, Iss. 17, pp. 3505-3505
Open Access | Times Cited: 13
Optimization of backpropagation neural network models for reliability forecasting using the boxing match algorithm: Electro-mechanical case
Mehrab Tanhaeean, S.F. Ghaderi, Mohammad Sheikhalishahi
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 2, pp. 918-933
Open Access | Times Cited: 7
A Review on Application of Soft Computing Techniques in Geotechnical Engineering
T. Vamsi Nagaraju, Sireesha Mantena, B. M. Sunil, et al.
Lecture notes in civil engineering (2023), pp. 313-322
Closed Access | Times Cited: 7
Bending behaviour of steel–concrete composite beam with partial shear interface using MCS and ANN
Prashant Kumar, Ajay Kumar, Sanjay Kumar, et al.
Acta Mechanica (2024) Vol. 235, Iss. 7, pp. 4451-4471
Closed Access | Times Cited: 2
Ensemble unit and AI techniques for prediction of rock strain
T. Pradeep, Pijush Samui, Navid Kardani, et al.
Frontiers of Structural and Civil Engineering (2022) Vol. 16, Iss. 7, pp. 858-870
Closed Access | Times Cited: 9
Modelling Compression Strength of Waste PET and SCM Blended Cementitious Grout Using Hybrid of LSSVM Models
Kaffayatullah Khan, Jitendra Gudainiyan, Mudassir Iqbal, et al.
Materials (2022) Vol. 15, Iss. 15, pp. 5242-5242
Open Access | Times Cited: 8
Experimental Analysis of Sheet Pile Wall in Silty-sand Soil
Sunanda Debnath, Abhijit Debnath, Sujit Kumar Pal
Lecture notes in civil engineering (2024), pp. 529-537
Closed Access | Times Cited: 1
Prediction of compressive strength of granite: use of machine learning techniques and intelligent system
Zhi Yu, Jian Zhou, HU Liu-qing
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4113-4129
Closed Access | Times Cited: 3
PCA-Based Hybrid Intelligence Models for Estimating the Ultimate Bearing Capacity of Axially Loaded Concrete-Filled Steel Tubes
Kaffayatullah Khan, Rahul Biswas, Jitendra Gudainiyan, et al.
Materials (2022) Vol. 15, Iss. 18, pp. 6477-6477
Open Access | Times Cited: 5
Reliability assessment and forecasting of moment ratio/factor of safety for sheet pile walls utilizing hybrid ANFIS enhanced by optimization techniques
Furquan Ahmad, Pijush Samui, K K Keshav
Sadhana (2024) Vol. 49, Iss. 3
Closed Access
Hybrid Metaheuristic Optimization of Artificial Neural Networks for Liquefaction Probability Prediction Using Various Historical CPT Data
B. Dhilipkumar, Pijush Samui
Transportation Infrastructure Geotechnology (2024) Vol. 12, Iss. 1
Closed Access
Model Test Study of the Synergistic Interaction between New and Existing Components of Sheet Pile Walls
Wenhui Zhao, Xiaomin Wu, Xuening Ma
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1557-1557
Open Access | Times Cited: 1
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