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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:

Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models
Jitendra Khatti, Kamaldeep Singh Grover
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 3010-3038
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Assessment of the ground vibration during blasting in mining projects using different computational approaches
Shahab Hosseini, Jitendra Khatti, Blessing Olamide Taiwo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 57
Hybrid soft computing models for predicting unconfined compressive strength of lime stabilized soil using strength property of virgin cohesive soil
Ismehen Taleb Bahmed, Jitendra Khatti, Kamaldeep Singh Grover
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 1
Closed Access | Times Cited: 29
Prediction of bearing capacity of pile foundation using deep learning approaches
Manish Kumar, Divesh Ranjan Kumar, Jitendra Khatti, et al.
Frontiers of Structural and Civil Engineering (2024) Vol. 18, Iss. 6, pp. 870-886
Closed Access | Times Cited: 22
Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models
Muhammad Hasnain Ayub Khan, Turab H. Jafri, Sameer Ud-Din, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 4
Closed Access | Times Cited: 18
Assessment of the uniaxial compressive strength of intact rocks: an extended comparison between machine and advanced machine learning models
Jitendra Khatti, Kamaldeep Singh Grover
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3301-3325
Closed Access | Times Cited: 17
Assessment of hydraulic conductivity of compacted clayey soil using artificial neural network: an investigation on structural and database multicollinearity
Jitendra Khatti, Kamaldeep Singh Grover
Earth Science Informatics (2024)
Closed Access | Times Cited: 13
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
Estimation of Settlement of Pile Group in Clay Using Soft Computing Techniques
Jitendra Khatti, Hanan Samadi, Kamaldeep Singh Grover
Geotechnical and Geological Engineering (2023) Vol. 42, Iss. 3, pp. 1729-1760
Closed Access | Times Cited: 37
Prediction of ultimate bearing capacity of shallow foundations on cohesionless soil using hybrid LSTM and RVM approaches: An extended investigation of multicollinearity
Jitendra Khatti, Kamaldeep Singh Grover, Hyeong-Joo Kim, et al.
Computers and Geotechnics (2023) Vol. 165, pp. 105912-105912
Closed Access | Times Cited: 37
Prediction of UCS of fine-grained soil based on machine learning part 2: comparison between hybrid relevance vector machine and Gaussian process regression
Jitendra Khatti, Kamaldeep Singh Grover
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 123-163
Closed Access | Times Cited: 32
Smart prediction of liquefaction-induced lateral spreading
Muhammad Nouman Amjad Raja, Tarek Abdoun, Waleed El-Sekelly
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 6, pp. 2310-2325
Open Access | Times Cited: 31
A Scientometrics Review of Soil Properties Prediction Using Soft Computing Approaches
Jitendra Khatti, Kamaldeep Singh Grover
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1519-1553
Closed Access | Times Cited: 22
Prediction of Uniaxial Strength of Rocks Using Relevance Vector Machine Improved with Dual Kernels and Metaheuristic Algorithms
Jitendra Khatti, Kamaldeep Singh Grover
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 8, pp. 6227-6258
Closed Access | Times Cited: 12
State-of-the-art XGBoost, RF and DNN based soft-computing models for PGPN piles
Manish Kumar, Pijush Samui, Divesh Ranjan Kumar, et al.
Geomechanics and Geoengineering (2024) Vol. 19, Iss. 6, pp. 975-990
Closed Access | Times Cited: 12
Assessment of Uniaxial Strength of Rocks: A Critical Comparison Between Evolutionary and Swarm Optimized Relevance Vector Machine Models
Jitendra Khatti, Kamaldeep Singh Grover
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 6, pp. 4098-4141
Closed Access | Times Cited: 9
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: 19
Estimation of Intact Rock Uniaxial Compressive Strength Using Advanced Machine Learning
Jitendra Khatti, Kamaldeep Singh Grover
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1989-2022
Closed Access | Times Cited: 17
Experiment and Analysis of Variance for Stabilizing Fine-Grained Soils with Cement and Sawdust Ash as Liner Materials
S M Mohammad Iliyas, Ahmad Kamal Idris, Ibrahim Haruna Umar, et al.
Materials (2024) Vol. 17, Iss. 10, pp. 2397-2397
Open Access | Times Cited: 6
Cone penetration test-based assessment of liquefaction potential using machine and hybrid learning approaches
Jitendra Khatti, Yewuhalashet Fissha, Kamaldeep Singh Grover, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3841-3864
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
Neural network coupled with nature-inspired optimization algorithms for prediction of microstructural and mechanical properties of nano-silica treated fine-grained soil
Ishwor Thapa, Sufyan Ghani, Panagiotis G. Asteris
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access
Assessment of Peak Particle Velocity of Blast Vibration using Hybrid Soft Computing Approaches
Haiping Yuan, Yangyao Zou, Hengzhe Li, et al.
Journal of Computational Design and Engineering (2025)
Open Access
Dimensionality analysis in assessing the unconfined strength of lime-treated soil using machine learning approaches
Jitendra Khatti, Asma Muhmed, Kamaldeep Singh Grover
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Assessment of compressive strength of eco-concrete reinforced using machine learning tools
Houcine Bentegri, Mohamed Rabehi, Samir Kherfane, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Evolutionary Polynomial Regression Model to Predict Effective Angle of Internal Friction of Fine-Grained Soils
Saif Alzabeebee, Bashar Ismael, Suraparb Keawsawasvong, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 2
Closed Access
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