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:

Solving the multicollinearity problem to improve the stability of machine learning algorithms applied to a fully annotated breast cancer dataset
Katrina Sundus, Bassam Hammo, Mohammad B. Al-Zoubi, et al.
Informatics in Medicine Unlocked (2022) Vol. 33, pp. 101088-101088
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility
R. S. Ajin, Samuele Segoni, Riccardo Fanti
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8

Estimating the compressive and tensile strength of basalt fibre reinforced concrete using advanced hybrid machine learning models
Irfan Ullah, Muhammad Faisal Javed, Hisham Alabduljabbar, et al.
Structures (2025) Vol. 71, pp. 108138-108138
Closed Access | Times Cited: 1

Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches
Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1

Enhancing digital twin efficiency in indoor environments: Virtual sensor-driven optimization of physical sensor combinations
Hakjong Shin, Young Hoon Kwak
Automation in Construction (2024) Vol. 161, pp. 105326-105326
Closed Access | Times Cited: 7

Machine learning screening tools for the prediction of extraction yields of pharmaceutical compounds from wastewaters
Ana Casas, Diego Rodríguez-Llorente, Guillermo Rodríguez-Llorente, et al.
Journal of Water Process Engineering (2024) Vol. 62, pp. 105379-105379
Open Access | Times Cited: 6

Innovative hybrid machine learning models for estimating the compressive strength of copper mine tailings concrete
Mana Alyami, Kennedy C. Onyelowe, Ali H. AlAteah, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03869-e03869
Open Access | Times Cited: 6

A comparative study of heterogeneous and homogeneous ensemble approaches for landslide susceptibility assessment in the Djebahia region, Algeria
Zakaria Matougui, Lynda Djerbal, Ramdane Bahar
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 28, pp. 40554-40580
Closed Access | Times Cited: 14

Optimizing Excited Charge Dynamics in Layered Halide Perovskites through Compositional Engineering
Pabitra Kumar Nayak, Dibyajyoti Ghosh
Nano Letters (2025)
Closed Access

Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms
Mana Alyami, Irfan Ullah, Furqan Ahmad, et al.
Case Studies in Construction Materials (2025), pp. e04357-e04357
Open Access

Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis
Tariq Ali, Kennedy C. Onyelowe, Muhammad Sarmad Mahmood, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

In-season nitrogen status and pre-harvest potato yield assessment using air-spaceborne imagery with AI techniques
Bilal Javed, Athyna N. Cambouris, Louis Longchamps, et al.
Field Crops Research (2025) Vol. 324, pp. 109794-109794
Closed Access

Stacked Generalization for Overlapping Asymmetric Datasets
Matthew McTeer, Paolo Missier
Lecture notes in computer science (2025), pp. 38-52
Closed Access

Machine learning approach for the detection of vitamin D level: a comparative study
Nuriye Sancar, Sahar S. Tabrizi
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 10

Refining Hydrogel-based Sorbent Design for Efficient Toxic Metal Removal Using Machine Learning-Bayesian Optimization
Jing Zhang, Kaixing Fu, Dawei Wang, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135688-135688
Closed Access | Times Cited: 3

Factors Shaping the Adoption of AI Tools among Gen Z: An Extended UTAUT2 Model Investigation Using CB-SEM
K. Kavitha, V. P. Joshith
Bulletin of Science Technology & Society (2024)
Closed Access | Times Cited: 3

Modeling Flood Susceptible Areas Using Deep Learning Techniques with Random Subspace: A Case Study of the Mae Chan Basin in Thailand
Surachai Chantee, Theeraya Mayakul
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 344-357
Open Access | Times Cited: 2

Prediction of Ship Painting Man-Hours Based on Selective Ensemble Learning
Henan Bu, Zikang Ge, Xianpeng Zhu, et al.
Coatings (2024) Vol. 14, Iss. 3, pp. 318-318
Open Access | Times Cited: 2

AI tool for predicting MGMT methylation in glioblastoma for clinical decision support in resource limited settings
Felipe Cicci Farinha Restini, Tarraf Torfeh, Souha Aouadi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Classification of Mild Cognitive Impairment and Alzheimer’s Disease Using Manual Motor Measures
Vincent Koppelmans, Marit F. L. Ruitenberg, Sydney Y. Schaefer, et al.
Neurodegenerative Diseases (2024) Vol. 24, Iss. 2, pp. 54-70
Open Access | Times Cited: 1

Incremental Value of Multidomain Risk Factors for Dementia Prediction: A Machine Learning Approach
Wei Ying Tan, Carol Anne Hargreaves, Gavin S. Dawe, et al.
American Journal of Geriatric Psychiatry (2024) Vol. 33, Iss. 3, pp. 229-244
Closed Access | Times Cited: 1

Modeling farmer behavior in adopting agroecological practices using AI tools in shea butter agroforestry systems
D. S. J. C. Gbemavo, Judicaël Laly, Vidédji Naéssé Adjahossou
Heliyon (2024) Vol. 10, Iss. 23, pp. e40600-e40600
Open Access | Times Cited: 1

Machine and deep learning-based trophic state classification of national freshwater reservoirs in Taiwan using Sentinel-2 data
Sabastian Simbarashe Mukonza, Jie‐Lun Chiang
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 134, pp. 103541-103541
Closed Access | Times Cited: 3

Enhancing fairness in breast cancer recurrence prediction through temporal machine learning models
Katrina Sundus, Bassam Hammo, Mohammad B. Al-Zoubi
Neural Computing and Applications (2024)
Closed Access

A novel two-tier feature selection model for Alzheimer’s disease prediction
Sonam V. Maju, Gnana Prakasi Oliver Sirya Pushpam
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 1, pp. 227-227
Open Access

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