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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:

From explanations to feature selection: assessing SHAP values as feature selection mechanism
Wilson E. Marcílio-Jr, Danilo Medeiros Eler
(2020), pp. 340-347
Closed Access | Times Cited: 199

Showing 1-25 of 199 citing articles:

Shapley Values for Feature Selection: The Good, the Bad, and the Axioms
Daniel Fryer, Inga Strümke, Hien D. Nguyen
IEEE Access (2021) Vol. 9, pp. 144352-144360
Open Access | Times Cited: 188
Diagnosis of Parkinson's disease based on SHAP value feature selection
Yuchun Liu, Zhihui Liu, Xue Luo, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 856-869
Closed Access | Times Cited: 79
Global relationships in tree functional traits
Daniel S. Maynard, Lalasia Bialic‐Murphy, Constantin M. Zohner, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 77
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods
Huanjing Wang, Qianxin Liang, John Hancock, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 46
Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring
Eugenio Brusa, Luca Cibrario, Cristiana Delprete, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2038-2038
Open Access | Times Cited: 45
ENHANCING LOAN APPROVAL DECISION-MAKING: AN INTERPRETABLE MACHINE LEARNING APPROACH USING LIGHTGBM FOR DIGITAL ECONOMY DEVELOPMENT
Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi
(2024) Vol. 9, Iss. 1, pp. 1734-1745
Open Access | Times Cited: 19
Detecting cryptocurrency pump-and-dump frauds using market and social signals
Huy Nghiem, Goran Murić, Fred Morstatter, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115284-115284
Closed Access | Times Cited: 57
Designing a feature selection method based on explainable artificial intelligence
Jan Zacharias, Moritz von Zahn, Johannes Chen, et al.
Electronic Markets (2022) Vol. 32, Iss. 4, pp. 2159-2184
Open Access | Times Cited: 55
Using explainable machine learning to understand how urban form shapes sustainable mobility
Felix Wagner, Nikola Milojevic-Dupont, Lukas Franken, et al.
Transportation Research Part D Transport and Environment (2022) Vol. 111, pp. 103442-103442
Closed Access | Times Cited: 45
Utilization of model-agnostic explainable artificial intelligence frameworks in oncology: a narrative review
Colton Ladbury, Reza Zarinshenas, Hemal Semwal, et al.
Translational Cancer Research (2022) Vol. 11, Iss. 10, pp. 3853-3868
Open Access | Times Cited: 43
PAIRED: An Explainable Lightweight Android Malware Detection System
Mohammed M. Alani, Ali Ismail Awad
IEEE Access (2022) Vol. 10, pp. 73214-73228
Open Access | Times Cited: 37
An Empirical Survey on Explainable AI Technologies: Recent Trends, Use-Cases, and Categories from Technical and Application Perspectives
Mohammad Nagahisarchoghaei, Nasheen Nur, Logan Cummins, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1092-1092
Open Access | Times Cited: 28
Metallogenic-Factor Variational Autoencoder for Geochemical Anomaly Detection by Ad-Hoc and Post-Hoc Interpretability Algorithms
Zijing Luo, Renguang Zuo, Yihui Xiong, et al.
Natural Resources Research (2023) Vol. 32, Iss. 3, pp. 835-853
Closed Access | Times Cited: 26
Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data
Junbo Tu, Weijie Liao, Wencai Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Shapley value: from cooperative game to explainable artificial intelligence
Meng Li, Hengyang Sun, Yanjun Huang, et al.
Autonomous Intelligent Systems (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 12
A Comprehensive Unsupervised Framework for Chronic Kidney Disease Prediction
Linta Antony, Sami Azam, Eva Ignatious, et al.
IEEE Access (2021) Vol. 9, pp. 126481-126501
Open Access | Times Cited: 49
Tensile strength prediction in directed energy deposition through physics-informed machine learning and Shapley additive explanations
Clayton Cooper, Jianjing Zhang, Joshua Huang, et al.
Journal of Materials Processing Technology (2023) Vol. 315, pp. 117908-117908
Open Access | Times Cited: 18
ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species
Ruyi Chen, Fuyi Li, Xudong Guo, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 17
Energy Usage Forecasting Model Based on Long Short-Term Memory (LSTM) and eXplainable Artificial Intelligence (XAI)
Muhammad Rifqi Maarif, Arif Rahman Saleh, Muhammad Habibi, et al.
Information (2023) Vol. 14, Iss. 5, pp. 265-265
Open Access | Times Cited: 16
Data analytics approach for short- and long-term mortality prediction following acute non-ST-elevation myocardial infarction (NSTEMI) and Unstable Angina (UA) in Asians
Sazzli Kasim, Putri Nur Fatin Amir Rudin, Sorayya Malek, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0298036-e0298036
Open Access | Times Cited: 5
Research on Prediction of Multiple Degenerative Diseases and Biomarker Screening Based on DNA Methylation
Run Tian, Hao Zhang, Chencai Wang, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 1, pp. 313-313
Open Access
Investigation of alpha-glucosidase inhibition activity of Artabotrys sumatranus leaf extract using metabolomics, machine learning and molecular docking analysis
Dela Rosa, Berna Elya, Muhammad Hanafi, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313592-e0313592
Open Access
Enhancing transparency in global horizontal irradiance estimation with tree based machine learning algorithms and Shapley additive explanations framework
Rahul Gupta, Chaitanya Ganvir, Sanjeev Jha, et al.
International Journal of Ambient Energy (2025) Vol. 46, Iss. 1
Closed Access
Habitat‐based MRI radiomics to predict the origin of brain metastasis
Yiyao Sun, Yan Wang, Mingchen Jiang, et al.
Medical Physics (2025)
Closed Access
C-SHAP: A Hybrid Method for Fast and Efficient Interpretability
Golshid Ranjbaran, Diego Reforgiato Recupero, Chanchal K. Roy, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 672-672
Open Access
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