Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 188 citing articles:

The Shapley Value in Machine Learning
Benedek Rózemberczki, Lauren Watson, Péter Bayer, et al.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (2022), pp. 5572-5579
Open Access | Times Cited: 142
Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review
Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Judith Nkechinyere Njoku, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1252-1252
Open Access | Times Cited: 90
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions
Andreas Theissler, Francesco Spinnato, Udo Schlegel, et al.
IEEE Access (2022) Vol. 10, pp. 100700-100724
Open Access | Times Cited: 87
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
Harnessing eXplainable artificial intelligence for feature selection in time series energy forecasting: A comparative analysis of Grad-CAM and SHAP
Corne van Zyl, Xianming Ye, Raj Naidoo
Applied Energy (2023) Vol. 353, pp. 122079-122079
Open Access | Times Cited: 44
Multi-objective robust optimization for enhanced safety in large-diameter tunnel construction with interactive and explainable AI
Penghui Lin, Limao Zhang, Robert L. K. Tiong
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109172-109172
Closed Access | Times Cited: 42
On the failings of Shapley values for explainability
Xuanxiang Huang, João Marques‐Silva
International Journal of Approximate Reasoning (2024) Vol. 171, pp. 109112-109112
Closed Access | Times Cited: 20
An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
Hafsa Binte Kibria, Md. Nahiduzzaman, Md. Omaer Faruq Goni, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7268-7268
Open Access | Times Cited: 60
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods
Elvio Gilberto Amparore, Alan Perotti, Paolo Bajardi
PeerJ Computer Science (2021) Vol. 7, pp. e479-e479
Open Access | Times Cited: 58
Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder
Mousumi Bala, Mohammad Hanif Ali, Md. Shahriare Satu, et al.
Algorithms (2022) Vol. 15, Iss. 5, pp. 166-166
Open Access | Times Cited: 56
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
Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy
Shahid Akbar, Farman Ali, Maqsood Hayat, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 230, pp. 104682-104682
Closed Access | Times Cited: 37
A Review of Computational Modeling in Wastewater Treatment Processes
M. Salomé Duarte, Gilberto Martins, Pedro Oliveira, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 784-804
Open Access | Times Cited: 37
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy
Shahid Akbar, Heba G. Mohamed, Hashim Ali, et al.
IEEE Access (2023) Vol. 11, pp. 49024-49034
Open Access | Times Cited: 30
Gene selection with Game Shapley Harris hawks optimizer for cancer classification
Sana Afreen, Ajay Kumar Bhurjee, Rabia Musheer Aziz
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 242, pp. 104989-104989
Closed Access | Times Cited: 29
Machine-Learning-Assisted Optimization of a Single-Atom Coordination Environment for Accelerated Fenton Catalysis
Haoyang Fu, Ke Li, Chenfei Zhang, et al.
ACS Nano (2023) Vol. 17, Iss. 14, pp. 13851-13860
Closed Access | Times Cited: 24
Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction
Kerim Koç, Ömer Ekmekcioğlu, Aslı Pelin Gürgün
Journal of Construction Engineering and Management (2023) Vol. 149, Iss. 4
Closed Access | Times Cited: 21
Survey on Explainable AI: Techniques, challenges and open issues
Adel Abusitta, Miles Q. Li, Benjamin C. M. Fung
Expert Systems with Applications (2024) Vol. 255, pp. 124710-124710
Closed Access | Times Cited: 13
Explainable ensemble models for predicting wall thickness loss of water pipes
Ridwan Taiwo, Abdul‐Mugis Yussif, Mohamed El Amine Ben Seghier, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 4, pp. 102630-102630
Open Access | Times Cited: 9
Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2771-2798
Closed Access | Times Cited: 8
Explainable and transparent artificial intelligence for public policymaking
Thanasis Papadakis, Ioannis T. Christou, Charalampos Ipektsidis, et al.
Data & Policy (2024) Vol. 6
Open Access | Times Cited: 7
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 7
Multi-robot task allocation clustering based on game theory
Javier García Martín, Francisco Javier Muros, J. M. Maestre, et al.
Robotics and Autonomous Systems (2022) Vol. 161, pp. 104314-104314
Open Access | Times Cited: 31
Prediction of Amyloid Proteins using Embedded Evolutionary & Ensemble Feature Selection based Descriptors with eXtreme Gradient Boosting Model
Shahid Akbar, Hashim Ali, Ashfaq Ahmad, et al.
IEEE Access (2023) Vol. 11, pp. 39024-39036
Open Access | Times Cited: 20
Guidance for good practice in the application of machine learning in development of toxicological quantitative structure-activity relationships (QSARs)
Samuel J. Belfield, Mark T.D. Cronin, Steven J. Enoch, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0282924-e0282924
Open Access | Times Cited: 19
Page 1 - Next Page

Scroll to top