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:

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

Showing 1-25 of 79 citing articles:

A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 4, pp. 1429-1442
Open Access | Times Cited: 76
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: 49
Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientists
Carl Orge Retzlaff, Alessa Angerschmid, Anna Saranti, et al.
Cognitive Systems Research (2024) Vol. 86, pp. 101243-101243
Open Access | Times Cited: 30
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 25
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
Comparative performance analysis of Boruta, SHAP, and Borutashap for disease diagnosis: A study with multiple machine learning algorithms
Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, et al.
Network Computation in Neural Systems (2024), pp. 1-38
Closed Access | Times Cited: 16
An interpretable approach using hybrid graph networks and explainable AI for intelligent diagnosis recommendations in chronic disease care
Mengxing Huang, Xiu Shi Zhang, Uzair Aslam Bhatti, et al.
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105913-105913
Closed Access | Times Cited: 14
Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
Luka Jovanovic, Robertas Damaševičius, Rade Matić, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2031-e2031
Open Access | Times Cited: 8
Feature selection of acoustic signals for leak detection in water pipelines
Ziyang Xu, Haixing Liu, Guangtao Fu, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105945-105945
Closed Access | Times Cited: 7
Cancer classification using RNA sequencing gene expression data based on Game Shapley local search embedded binary social ski-driver optimization algorithms
Sana Afreen, Ajay Kumar Bhurjee, Rabia Musheer Aziz
Microchemical Journal (2024) Vol. 205, pp. 111280-111280
Closed Access | Times Cited: 6
Data-driven deformation prediction and control for existing tunnels below shield tunneling
Zongbao Feng, Jingyi Wang, Wenzhao Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109379-109379
Closed Access | Times Cited: 6
SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence
G. Sathish Kumar, E. Suganya, S. Sountharrajan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Credit Evaluation of Technology-Based Small and Micro Enterprises: An Innovative Weighting Method Based on Machine Learning and AHP
Bingya Wu, Zeqing Hu, Zhouyi Gu, et al.
Data (2025) Vol. 10, Iss. 1, pp. 9-9
Open Access
Significance of gender, brain region and EEG band complexity analysis for Parkinson’s disease classification using recurrence plots and machine learning algorithms
Divya Sasidharan, V. Sowmya, E. A. Gopalakrishnan
Physical and Engineering Sciences in Medicine (2025)
Closed Access
Improving Crowdfunding Decisions Using Explainable Artificial Intelligence
Andreas Gregoriades, Christos Themistocleous
Sustainability (2025) Vol. 17, Iss. 4, pp. 1361-1361
Open Access
Parkinsons Detection from Gait Time Series Classification Using Modified Metaheuristic Optimized Long Short Term Memory
Filip Marković, Luka Jovanovic, Petar Spalević, et al.
Neural Processing Letters (2025) Vol. 57, Iss. 1
Open Access
New Method of Early RRMS Diagnosis Using OCT-Assessed Structural Retinal Data and Explainable Artificial Intelligence
Miguel Ortiz del Castillo, Ana Pueyo, Francisco J. Dongil, et al.
Translational Vision Science & Technology (2025) Vol. 14, Iss. 2, pp. 14-14
Open Access
Machine learning-assisted prediction and identification of key factors affecting nitrogen metabolism for aerobic granular sludge
Huiping Li, Li Xie, Baiqin Zhou, et al.
Environmental Research (2025), pp. 121158-121158
Closed Access
Predictors of community-based health insurance enrollment among reproductive-age women in Ethiopia based on the EDHS 2019 dataset: a study using SHAP analysis technique, 2024
Sisay Yitayih Kassie, Solomon Abuhay Abebe, Mekdes Wondirad, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Diagnosis of disease affecting gait with a body acceleration-based model using reflected marker data for training and a wearable accelerometer for implementation
Mohammad Ali Takallou, Farahnaz Fallahtafti, Mahdi Hassan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
A systematic review of artificial neural network techniques for analysis of foot plantar pressure
Chongguang Wang, Kerrie Evans, Dean S. Hartley, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 197-208
Open Access | Times Cited: 4
Machine learning-based design of target property-oriented fuels using explainable artificial intelligence
Yong Chen, Zhiyuan Lu, Heng Liu, et al.
Energy (2024) Vol. 300, pp. 131583-131583
Closed Access | Times Cited: 4
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Cogent Engineering (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 21
Explanations as a New Metric for Feature Selection: A Systematic Approach
Haomiao Wang, Emmanuel Doumard, Chantal Soulé-Dupuy, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 4131-4142
Open Access | Times Cited: 9
Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study
Dongying Zheng, Xinyu Hao, Muhanmmad Khan, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 12
Page 1 - Next Page

Scroll to top