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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:

Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process
Christoph Molnar, Timo Freiesleben, Gunnar König, et al.
Communications in computer and information science (2023), pp. 456-479
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Metaheuristic optimization algorithms-based prediction modeling for titanium dioxide-Assisted photocatalytic degradation of air contaminants
Muhammad Faisal Javed, Bilal Siddiq, Kennedy C. Onyelowe, et al.
Results in Engineering (2024) Vol. 23, pp. 102637-102637
Open Access | Times Cited: 20
A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud
Zeyu Wang, Xiaofang Chen, Yiwei Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
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: 7
A Guide to Feature Importance Methods for Scientific Inference
Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, et al.
Communications in computer and information science (2024), pp. 440-464
Open Access | Times Cited: 6
Machine Learning Approach for Groundwater Contamination Spatiotemporal Relationship Exploration
Jayesh Soni, Himanshu Upadhyay, Leonel Lagos, et al.
Water (2025) Vol. 17, Iss. 1, pp. 121-121
Open Access
An Explainable AI Framework for Comparative Analysis of the Model Explanations in Breast Cancer Prediction
Ghazaleh Emadi, Ana Belén Gil González
Lecture notes in networks and systems (2025), pp. 21-30
Closed Access
Change analysis of surface water clarity in the Persian Gulf and the Oman Sea by remote sensing data and an interpretable deep learning model
M Vosoughi Abedini, Yahya Esmaeilpour, Hamid Gholami, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Spatial-Temporal Dynamics in Country-Level Sustainable Energy Performance Using Ensemble Learning and Analytic Hierarchy Process
Amirreza Salehi, Mahdi Alimohammadi, Majid Khedmati, et al.
Journal of Cleaner Production (2025), pp. 145497-145497
Closed Access
Application I/O behavior analysis on leadership cluster system
Ju-Won Park, Taeyoung Hong
The Journal of Supercomputing (2025) Vol. 81, Iss. 6
Closed Access
Monitoring of railway tracks maintenance needs using dynamic responses collected by an in-service train
Ramin Ghiasi, Abdollah Malekjafarian
Railway Engineering Science (2025)
Open Access
Rapid detection of turtle cracks in corn seed based on reflected and transmitted images combined with deep learning method
He Li, Yun Hao, Weifeng Wu, et al.
Microchemical Journal (2024) Vol. 201, pp. 110698-110698
Closed Access | Times Cited: 3
A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges
Ibomoiye Domor Mienye, George Obaido, Nobert Jere, et al.
Informatics in Medicine Unlocked (2024), pp. 101587-101587
Open Access | Times Cited: 3
Analyzing the Temporal Interplay and Contribution of Socioeconomic, CO<sub>2</sub> Related Industry, and Education to the Year-on-Year Change in CO<sub>2</sub> Emissions: An In-Depth Analysis Using Machine Learning Approach
Mulomba Mukendi Christian, Hyebong Choi, Suhui Jung, et al.
(2024)
Open Access | Times Cited: 2
Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena
Timo Freiesleben, Gunnar König, Christoph Molnar, et al.
Minds and Machines (2024) Vol. 34, Iss. 3
Open Access | Times Cited: 2
A random forest-based analysis of cassava mosaic disease-related factors affecting the on-farm livelihoods of cassava farmers
Dickmi Vaillam Claudette, Tchouamo Isaac Roger
Journal of Applied and Advanced Research (2024), pp. 1-14
Open Access | Times Cited: 1
A Survey of Explainable Artificial Intelligence in Healthcare: Concepts, Applications, and Challenges
Ibomoiye Domor Mienye, George Obaido, Nobert Jere, et al.
(2024)
Open Access | Times Cited: 1
Leveraging machine learning to model salinity and water flux for improved insights into forward osmosis membrane bioreactors
Ali Aldrees, Bilal Siddiq, Wael S. Al-Rashed, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106585-106585
Closed Access | Times Cited: 1
Interpreting CNN-RNN Hybrid Model-Based Ensemble Learning with Explainable Artificial Intelligence to Predict the Performance of Li-ion Batteries in Drone Flights
Betül Ersöz, Saadin Oyucu, Ahmet Aksöz, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 10816-10816
Open Access | Times Cited: 1
Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME
Md. Manowarul Islam, Habibur Rahman Rifat, M. Shahid, et al.
Engineering Reports (2024)
Open Access | Times Cited: 1
Sentiment Analysis for Tourism Insights: A Machine Learning Approach
Kenza Charfaoui, Stéphane Mussard
Stats (2024) Vol. 7, Iss. 4, pp. 1527-1539
Open Access | Times Cited: 1
Machine Learning Based Detection of T-Wave Alternans in Real Ambulatory Conditions
Lidia Pascual-Sánchez, Rebeca Goya–Esteban, Fernando Cruz–Roldán, et al.
(2024)
Closed Access
Regression Model for the Prediction of Total Motor Power Used by an Industrial Robot Manipulator during Operation
Sandi Baressi Šegota, Nikola Anđelić, Jelena Štifanić, et al.
Machines (2024) Vol. 12, Iss. 4, pp. 225-225
Open Access
Determinants of Yearly CO2 Emission Fluctuations: A Machine Learning Perspective to Unveil Dynamics
Mulomba Mukendi Christian, Hyebong Choi, Suhui Jung, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 4242-4242
Open Access
Statistics and Explainability: A Fruitful Alliance
Valentina Ghidini
Communications in computer and information science (2024), pp. 477-488
Closed Access
Uncovering Determinants of Code Quality In Education Via Static Code Analysis
Danilo Nikolić, Darko Stefanović, Miroslav Nikolić, et al.
IEEE Access (2024), pp. 1-1
Open Access
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