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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 26-50 of 199 citing articles:

Machine Learning-Based Alzheimer’s Disease Stage Diagnosis Utilizing Blood Gene Expression and Clinical Data: A Comparative Investigation
M Manju Sarma, Subarna Chatterjee
Diagnostics (2025) Vol. 15, Iss. 2, pp. 211-211
Open Access
PREDICTION OF FOREST FIRE SUSCEPTIBILITY USING MACHINE LEARNING TOOLS IN THE TRIUNFO DO XINGU ENVIRONMENTAL PROTECTION AREA, AMAZON, BRAZIL
Kemuel Maciel Freitas, Ronie Silva Juvanhol, Christiano Jorge Gomes Pinheiro, et al.
Journal of South American Earth Sciences (2025), pp. 105366-105366
Closed Access
Machine learning application to the identification of sheet metal constitutive model parameters
Armando E. Marques, Tomás G. Parreira, André F. G. Pereira, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Closed Access
Development of a machine learning-based multivariable prediction model for the naturalistic course of generalized anxiety disorder
Candice Basterfield, Michelle G. Newman
Journal of Anxiety Disorders (2025), pp. 102978-102978
Closed Access
NOx Concentration Modeling in CFB Coal-Fired Power Plants Based on Feature Engineering and Deep Random Forest
Gaocheng Yan, Jie Qiao, Yuchao Wu, et al.
Process Safety and Environmental Protection (2025)
Closed Access
Simulation optimization of supply chain uncertainty factors based on support vector machines optimized with improved Jellyfish Search Algorithm
Xingwen Lin, Jiabin Wang
Deleted Journal (2025) Vol. 28, Iss. 1
Open Access
Leveraging Handwriting Dynamics, Explainable AI and Machine Learning for Alzheimer Prediction
Shashank Singh, Amrita Chaturvedi
Communications in computer and information science (2025), pp. 338-351
Closed Access
Machine learning-aided model for predicting oily sludge pyrolysis under various feedstock and operating conditions
Cheng Lu, Dixuan Li, Beidou Xi, et al.
Journal of Hazardous Materials (2025), pp. 137654-137654
Open Access
A Framework for Soil Moisture Downscaling on the Tibetan Plateau Based on Interpretable Deep Learning
Zhiguo Miao, Lei Han, L. Zhao, et al.
Water (2025) Vol. 17, Iss. 4, pp. 570-570
Open Access
Optimizing Model Performance and Interpretability: Application to Biological Data Classification
Zhenyu Huang, Xuechen Mu, Yangkun Cao, et al.
Genes (2025) Vol. 16, Iss. 3, pp. 297-297
Open Access
Enhanced hardenability prediction in 20CrMo special steel via XGBoost model
De-xin Zhu, Binbin Wang, Haitao Zhao, et al.
Journal of Iron and Steel Research International (2025)
Closed Access
Classification and Carbon-Stock Estimation of Mangroves in Dongzhaigang Based on Multi-Source Remote Sensing Data Using Google Earth Engine
Ruiwen Zhang, Jianchao Fan
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 964-964
Open Access
Predicting Major Preoperative Risk Factors for Retears After Arthroscopic Rotator Cuff Repair Using Machine Learning Algorithms
Sung-Hyun Cho, Yang‐Soo Kim
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 1843-1843
Open Access
Interpretable analysis of transformer winding vibration characteristics: SHAP and multi-classification feature optimization
Yongteng Sun, Hongzhong Ma
International Journal of Electrical Power & Energy Systems (2025) Vol. 166, pp. 110585-110585
Closed Access
An interpretable machine learning framework for intelligent prediction and evaluation of fabric color emotions
Yi Qian, Wenliang Xue
Journal of the Textile Institute (2025), pp. 1-13
Closed Access
Diabetic Foot Ulcers Detection Model Using a Hybrid Convolutional Neural Networks—Vision Transformers
Abdul Rahaman Wahab Sait, R. Nagaraj
Diagnostics (2025) Vol. 15, Iss. 6, pp. 736-736
Open Access
Data-augmented deep learning for hazard assessment of hydrogen accumulation in confined spaces: Multitask prediction and sensitivity analysis
Wei Dong, Yuichi Sugai, Ying Shi, et al.
Fuel (2025) Vol. 394, pp. 135056-135056
Closed Access
Spatiotemporal Analysis and Prediction of Avian Migration Under Climate Change
Yanqi Gong, Yongfang Wang, Hongxuan Fu, et al.
Sustainability (2025) Vol. 17, Iss. 7, pp. 2793-2793
Open Access
Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach
Alireza Shafizadeh, Hossein Shahbeik, Mohammad Hossein Nadian, et al.
Journal of Cleaner Production (2023) Vol. 413, pp. 137329-137329
Open Access | Times Cited: 15
Developing machine learning approaches to identify candidate persistent, mobile and toxic (PMT) and very persistent and very mobile (vPvM) substances based on molecular structure
Han Min, Biao Jin, Jun Liang, et al.
Water Research (2023) Vol. 244, pp. 120470-120470
Closed Access | Times Cited: 13
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression
Baligh Al-Helali, Qi Chen, Bing Xue, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 3, pp. 2269-2282
Closed Access | Times Cited: 4
Fractal-Based Multi-Criteria Feature Selection to Enhance Predictive Capability of AI-Driven Mineral Prospectivity Mapping
Tao Sun, Mei Feng, Wenbin Pu, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 4, pp. 224-224
Open Access | Times Cited: 4
Machine learning for predicting halogen radical reactivity toward aqueous organic chemicals
Youheng Liang, Xiaoliu Huangfu, Ruixing Huang, et al.
Journal of Hazardous Materials (2024) Vol. 472, pp. 134501-134501
Closed Access | Times Cited: 4
An Advanced Diagnostic Approach for Broken Rotor Bar Detection and Classification in DTC Controlled Induction Motors by Leveraging Dynamic SHAP Interaction Feature Selection (DSHAP-IFS) GBDT Methodology
Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, et al.
Machines (2024) Vol. 12, Iss. 7, pp. 495-495
Open Access | Times Cited: 4
Evaluation of interpretability methods for multivariate time series forecasting
Ozan Ozyegen, Igor Ilic, Mücahit Çevik
Applied Intelligence (2021) Vol. 52, Iss. 5, pp. 4727-4743
Open Access | Times Cited: 27

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