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:

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 26-50 of 79 citing articles:

Data-driven assessment of soil total nitrogen on the Qinghai-Tibet Plateau
Jiahui Zhao, Peng Jiang, Tongqing Shen, et al.
The Science of The Total Environment (2024) Vol. 914, pp. 169993-169993
Closed Access | Times Cited: 2

Examination of the performance of ASEL and MPViT algorithms for classifying mangrove species of multiple natural reserves of Beibu Gulf, south China
Bolin Fu, Xu He, Yiyin Liang, et al.
Ecological Indicators (2023) Vol. 154, pp. 110870-110870
Open Access | Times Cited: 5

National student loans default risk prediction: A heterogeneous ensemble learning approach and the SHAP method
Yuan Wang, Yanbo Zhang, Mengkun Liang, et al.
Computers and Education Artificial Intelligence (2023) Vol. 5, pp. 100166-100166
Open Access | Times Cited: 5

A hybrid system to understand the relations between assessments and plans in progress notes
Jifan Gao, Shilu He, Junjie Hu, et al.
Journal of Biomedical Informatics (2023) Vol. 141, pp. 104363-104363
Open Access | Times Cited: 4

COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
SLAS TECHNOLOGY (2023) Vol. 28, Iss. 6, pp. 393-410
Open Access | Times Cited: 4

An Adaptive Intelligent Polar Bear (AIPB) Optimization-Quantized Contempo Neural Network (QCNN) model for Parkinson’s disease diagnosis using speech dataset
S. Pragadeeswaran, S. Kannimuthu
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105467-105467
Closed Access | Times Cited: 4

Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from performance monitoring and accountability (PMA) survey 2019 dataset
Shimels Derso Kebede, Daniel Niguse Mamo, Jibril Bashir Adem, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 10, pp. e0000345-e0000345
Open Access | Times Cited: 4

Monitoring the efficacy of antibiotic therapy in febrile pediatric oncology patients with bacteremia using infrared spectroscopy of white blood cells-based machine learning
Yotam D. Eshel, Uraib Sharaha, Guy Beck, et al.
Talanta (2024) Vol. 270, pp. 125619-125619
Closed Access | Times Cited: 1

Efficient Model for Prediction of Parkinson's Disease Using Machine Learning Algorithms with Hybrid Feature Selection Methods
Nutan Singh, Priyanka Tripathi
Communications in computer and information science (2024), pp. 186-203
Closed Access | Times Cited: 1

An ensemble learning-based machine learning with voting mechanism for chronic disease prediction
Soualihou Ngnamsie Njimbouom, Jeong‐Dong Kim, Candra Zonyfar, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1

Machine Learning for Company Review Sentiment Analysis Interpretation
Stanislava Kozakijevic, Luka Jovanovic, Lepa Babic, et al.
Algorithms for intelligent systems (2024), pp. 647-659
Closed Access | Times Cited: 1

Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach
Fatma Hilal Yağın, Umran Aygun, Abdulmohsen Algarni, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 17, pp. 5002-5002
Open Access | Times Cited: 1

Umami-gcForest: Construction of a predictive model for umami peptides based on deep forest
Shuaiqi Ji, Junrui Wu, Feiyu An, et al.
Food Chemistry (2024) Vol. 464, pp. 141826-141826
Closed Access | Times Cited: 1

Prediction of cytotoxicity of heavy metals adsorbed on nano-TiO2 with periodic table descriptors using machine learning approaches
Joyita Roy, Souvik Pore, Kunal Roy
Beilstein Journal of Nanotechnology (2023) Vol. 14, pp. 939-950
Open Access | Times Cited: 3

Application of Interpretable Machine Learning for Production Feasibility Prediction of Gold Mine Project
Kun Kang, Qishen Chen, Kun Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8992-8992
Open Access | Times Cited: 2

Detection of Osteosarcoma using Deep Feature Extraction with Federated Learning and MLP from Histopathological Images
Anjir Ahmed Chowdhury, Sakib Mahmud, Md Fazla Elahe, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2

Assessing Machine Learning Models for Predicting Age with Intracranial Vessel Tortuosity and Thickness Information
Hoon-Seok Yoon, J. E. Oh, Yoon‐Chul Kim
Brain Sciences (2023) Vol. 13, Iss. 11, pp. 1512-1512
Open Access | Times Cited: 2

An Ensemble Technique to Predict Parkinson's Disease Using Machine Learning Algorithms
Nutan Singh, Priyanka Tripathi
Speech Communication (2024) Vol. 159, pp. 103067-103067
Closed Access

Predicting Sudden Sensorineural Hearing Loss Recovery with Patient-Personalized Seigel’s Criteria Using Machine Learning
Sanghyun Shon, Kyung-Geun Lim, Minsu Chae, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1296-1296
Open Access

Explainable AI in Disease Diagnosis
Punam Bedi, Anjali Thukral, Shivani Dhiman
Computational intelligence methods and applications (2024), pp. 87-111
Closed Access

A Unified Approach to Predict and Understand Acute Myeloid Leukemia Diagnosis
Ashwini P. Patil, Manjunath Hiremath, Varsha Pawar
Lecture notes in electrical engineering (2024), pp. 233-242
Closed Access

An Explainable Assessment for Depression Detection Using Frontal EEG
Feifei Chen, Lulu Zhao, Licai Yang, et al.
IFMBE proceedings (2024), pp. 377-383
Closed Access

STN localization using local field potentials based on wavelet packet features and stacking ensemble learning
Mohamed Hosny, Minwei Zhu, Wenpeng Gao, et al.
Journal of Neuroscience Methods (2024) Vol. 407, pp. 110156-110156
Closed Access

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