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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:

Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach
Christoph Molnar, Gunnar König, Bernd Bischl, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 5, pp. 2903-2941
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges
Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl
Communications in computer and information science (2020), pp. 417-431
Open Access | Times Cited: 405
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
Christoph Molnar, Gunnar König, Julia Herbinger, et al.
Lecture notes in computer science (2022), pp. 39-68
Open Access | Times Cited: 91
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Hubert Baniecki, Przemysław Biecek
Information Fusion (2024) Vol. 107, pp. 102303-102303
Open Access | Times Cited: 37
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: 35
Cardiovascular disease identification using a hybrid CNN-LSTM model with explainable AI
Md. Maruf Hossain, Md Shahin Ali, Md Mahfuz Ahmed, et al.
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101370-101370
Open Access | Times Cited: 23
Future-Proofing EU-27 Energy Policies with AI: Analyzing and Forecasting Fossil Fuel Trends
Cristiana Tudor, Robert Şova, Pavlos Stamatiou, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 631-631
Open Access | Times Cited: 1
Relative Feature Importance
Gunnar König, Christoph Molnar, Bernd Bischl, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2021), pp. 9318-9325
Open Access | Times Cited: 52
Grouped feature importance and combined features effect plot
Quay Au, Julia Herbinger, Clemens Stachl, et al.
Data Mining and Knowledge Discovery (2022) Vol. 36, Iss. 4, pp. 1401-1450
Open Access | Times Cited: 34
A Visual Analytics Conceptual Framework for Explorable and Steerable Partial Dependence Analysis
Marco Angelini, Graziano Blasilli, Simone Lenti, et al.
IEEE Transactions on Visualization and Computer Graphics (2023) Vol. 30, Iss. 8, pp. 4497-4513
Open Access | Times Cited: 19
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 7
Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features
Lucas F. Voges, Lukas C. Jarren, Stephan Seifert
Bioinformatics (2023) Vol. 39, Iss. 8
Open Access | Times Cited: 13
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: 5
Explainable and interpretable machine learning and data mining
Martin Atzmueller, Johannes Fürnkranz, Tomáš Kliegr, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 5, pp. 2571-2595
Open Access | Times Cited: 5
Automated classification of stress and relaxation responses in major depressive disorder, panic disorder, and healthy participants via heart rate variability
Sangwon Byun, Ah Young Kim, Min‐Sup Shin, et al.
Frontiers in Psychiatry (2025) Vol. 15
Open Access
Advanced Dense Text Detection in Graded Examinations Leveraging Chinese Character Components
Renyuan Liu, Yunyu Shi, Xian Tang, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1818-1818
Open Access
Direction of impact for explainable risk assessment modeling
Emanuele Borgonovo, Manel Baucells, A. De Rosa, et al.
Risk Analysis (2025)
Open Access
Bidirectional Long Short-Term Memory (BiLSTM) Neural Networks with Conjoint Fingerprints: Application in Predicting Skin-Sensitizing Agents in Natural Compounds
Huynh Anh Duy, Tarapong Srisongkram
Journal of Chemical Information and Modeling (2025)
Open Access
Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies
Seyyed Ali Hosseini, Ghasem Hajianfar, Brandon Hall, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Protecting your skin: a highly accurate LSTM network integrating conjoint features for predicting chemical-induced skin irritation
Huynh Anh Duy, Tarapong Srisongkram
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Beyond Development: Challenges in Deploying Machine-Learning Models for Structural Engineering Applications
Mohsen Zaker Esteghamati, Brennan Bean, Henry Burton, et al.
Journal of Structural Engineering (2025) Vol. 151, Iss. 6
Closed Access
Pitfalls to Avoid when Interpreting Machine Learning Models
Christoph Molnar, Gunnar König, Julia Herbinger, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 35
Accuracy, uncertainty, and interpretability assessments of ANFIS models to predict dust concentration in semi-arid regions
Zohre Ebrahimi‐Khusfi, Ruhollah Taghizadeh‐Mehrjardi, Ali Reza Nafarzadegan
Environmental Science and Pollution Research (2020) Vol. 28, Iss. 6, pp. 6796-6810
Closed Access | Times Cited: 29
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
CaSE: Explaining Text Classifications by Fusion of Local Surrogate Explanation Models with Contextual and Semantic Knowledge
Sebastian Kiefer
Information Fusion (2021) Vol. 77, pp. 184-195
Closed Access | Times Cited: 21
Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification
Alexander Brenning
Machine Learning (2023) Vol. 112, Iss. 9, pp. 3455-3471
Open Access | Times Cited: 8
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