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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:

Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils
Johnbosco C. Egbueri, Ogbonnaya Igwe, Michael E. Omeka, et al.
Geosystems and Geoenvironment (2022) Vol. 2, Iss. 1, pp. 100104-100104
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A multi-model study for understanding the contamination mechanisms, toxicity and health risks of hardness, sulfate, and nitrate in natural water resources
Johnbosco C. Egbueri
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 22, pp. 61626-61658
Closed Access | Times Cited: 54
A review of the status, challenges, trends, and prospects of groundwater quality assessment in Nigeria: an evidence-based meta-analysis approach
Michael E. Omeka, Arinze Longinus Ezugwu, Johnson C. Agbasi, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 15, pp. 22284-22307
Closed Access | Times Cited: 28
A self-attention-LSTM method for dam deformation prediction based on CEEMDAN optimization
Shuo Cai, Huixin Gao, Jie Zhang, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111615-111615
Closed Access | Times Cited: 17
Efficacy of GIS-based AHP and data-driven intelligent machine learning algorithms for irrigation water quality prediction in an agricultural-mine district within the Lower Benue Trough, Nigeria
Michael E. Omeka, Ogbonnaya Igwe, Obialo S. Onwuka, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 41, pp. 54204-54233
Closed Access | Times Cited: 31
Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach
Michael E. Omeka
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 41, pp. 54178-54203
Open Access | Times Cited: 26
GIS-based landslide susceptibility mapping of Western Rwanda: an integrated artificial neural network, frequency ratio, and Shannon entropy approach
Vincent E. Nwazelibe, Johnbosco C. Egbueri, Chinanu O. Unigwe, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 19
Closed Access | Times Cited: 26
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: 24
The CEEMDAN-EWT-CNN-GRU-SVM Model: A Robust Framework for Decomposing Non-Stationary Time Series, Extracting Data features, and Predicting Solar Radiation
Sharareh Pourebrahim, Akram Seifi, Mohammad Ehteram, et al.
Results in Engineering (2025), pp. 104267-104267
Open Access | Times Cited: 1
Irrigation suitability and health risk assessment of groundwater resources in the Firozabad industrial area of north-central India: An integrated indexical, statistical, and geospatial approach
Anuj Saraswat, Triyugi Nath, Michael E. Omeka, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 19
Use of a Biopolymer for Road Pavement Subgrade
Ali Fırat Çabalar, Nurullah Akbulut, Süleyman Demir, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8231-8231
Open Access | Times Cited: 15
Simulation of Spatial and Temporal Distribution of Forest Carbon Stocks in Long Time Series—Based on Remote Sensing and Deep Learning
Xiaoyong Zhang, Weiwei Jia, Yuman Sun, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 483-483
Open Access | Times Cited: 13
An artificial intelligence-based assessment of soil erosion probability indices and contributing factors in the Abha-Khamis watershed, Saudi Arabia
Saeed Alqadhi, Javed Mallick, Swapan Talukdar, et al.
Frontiers in Ecology and Evolution (2023) Vol. 11
Open Access | Times Cited: 13
Predicting the RUL of Li-Ion Batteries in UAVs Using Machine Learning Techniques
Dragoș Andrioaia, Vasile Gheorghiță Găitan, George Culea, et al.
Computers (2024) Vol. 13, Iss. 3, pp. 64-64
Open Access | Times Cited: 4
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Arsham Moayedi Far, Masoud Zare Naghadehi
Civil Engineering Design (2025)
Open Access
An Optimized Approach for Predicting Water Quality Features and A Performance evaluation for Mapping Surface Water Potential Zones Based on Discriminant Analysis (DA), Geographical Information System (GIS) and Machine Learning (ML) Models in Baitarani River Basin, Odisha
Abhijeet Das
Desalination and Water Treatment (2025) Vol. 321, pp. 101039-101039
Open Access
Roll force prediction by combined FEM and ANN in the hot rolling process under nano-lubrication condition
Sidhant Kumar Sabar, Ritesh Kumar Patel, Subrata Kumar Ghosh
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 3
Assessing scenic beauty of hilly and mountain villages: An approach based on landscape indicators
Keliang Long, Nanxi Wang, Zhongxiao Lin
Ecological Indicators (2023) Vol. 154, pp. 110538-110538
Open Access | Times Cited: 8
Neural networks based linear (PCA) and nonlinear (ISOMAP) feature extraction for soil swelling pressure prediction (North East Algeria)
Ouassila Bahloul, Fatima Zohra Tebbi, Lekouara Laid, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18673-e18673
Open Access | Times Cited: 8
Characterization of the shape of aggregates using image analysis and machine learning classification tools
Daniel Niruban Subramaniam, M. Sajeevan, Jeyananthan Pratheeba, et al.
Geomechanics and Geoengineering (2023) Vol. 19, Iss. 4, pp. 421-443
Closed Access | Times Cited: 8
Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks
Muhammad Ali Rehman, Norinah Abd Rahman, Ahmad Nazrul Hakimi Ibrahim, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28854-e28854
Open Access | Times Cited: 2
Geospatial assessment of landslide-prone areas in the southern part of Anambra State, Nigeria using classical statistical models
Vincent E. Nwazelibe, Johnbosco C. Egbueri
Environmental Earth Sciences (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 2
Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures
Mohammed Majeed Hameed, Adil Masood, Aman Srivastava, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Predicting Equilibrium Scour Depth Around Non-Circular Bridge Piers with Shallow Foundations Using Hybrid Explainable Machine Learning Methods
Nasrin Eini, Saeid Janizadeh, Sayed M. Bateni, et al.
Results in Engineering (2024), pp. 103492-103492
Open Access | Times Cited: 2
Experimental investigation and machine learning modeling of heat transfer characteristics for water based nanofluids containing magnetic Fe3O4 nanoparticles
Ruihao Zhang, Shan Qing, Xiaohui Zhang, et al.
Materials Today Communications (2023) Vol. 36, pp. 106798-106798
Closed Access | Times Cited: 5
Investigation of the usability of activated carbon as a filling material in nitrile butadiene rubber/natural rubber components and modeling by regression analysis
Şaban Bülbül, Halime Ergün
Journal of Elastomers & Plastics (2023) Vol. 56, Iss. 1, pp. 53-73
Closed Access | Times Cited: 5
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