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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:

Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores
Jie Wang, Zhuo Wang, Ning Liu, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 1, pp. 37-37
Open Access | Times Cited: 19

Showing 19 citing articles:

Applications of Artificial Intelligence in the Neuropsychological Assessment of Dementia: A Systematic Review
Isabella Veneziani, Angela Marra, Caterina Formica, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 1, pp. 113-113
Open Access | Times Cited: 18
Joint ensemble learning-based risk prediction of Alzheimer's disease among mild cognitive impairment patients
Tianyuan Guan, Lei Shang, Peng Yang, et al.
The Journal of Prevention of Alzheimer s Disease (2025), pp. 100083-100083
Open Access
Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression
Carlotta Cazzolli, Marco Chierici, Monica Dallabona, et al.
Aging Clinical and Experimental Research (2025) Vol. 37, Iss. 1
Open Access
Predicting the occurrence of stress urinary incontinence after prolapse surgery: a machine learning–based model
Linru Fu, Guanghua Huang, Zhijing Sun, et al.
Annals of Translational Medicine (2023) Vol. 11, Iss. 6, pp. 251-251
Open Access | Times Cited: 8
Association of APOE ε4/ε4 with fluid biomarkers in patients from the PUMCH dementia cohort
Li Shang, Liling Dong, Xinying Huang, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 7
Designing an effective semantic fluency test for early MCI diagnosis with machine learning
Alba Gómez-Valadés, Rafael Martínez‐Tomás, Mariano Rincón
Computers in Biology and Medicine (2024) Vol. 180, pp. 108955-108955
Open Access | Times Cited: 2
Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods
Yuan‐Horng Yan, Ting‐Bin Chen, Chun‐Pai Yang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 9
Development of a Machine Learning Model to Discriminate Mild Cognitive Impairment Subjects from Normal Controls in Community Screening
Juanjuan Jiang, Jieming Zhang, Chenyang Li, et al.
Brain Sciences (2022) Vol. 12, Iss. 9, pp. 1149-1149
Open Access | Times Cited: 8
Toward Quantitative Neurology: Sensors to Assess Motor Deficits in Dementia
Mehrnaz Hamedani, Stefano Caneva, Gianluigi Mancardi, et al.
Journal of Alzheimer s Disease (2024), pp. 1-24
Closed Access | Times Cited: 1
Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia Using Neural Networks
Zhuo Wang, Jie Wang, Ning Liu, et al.
Journal of Alzheimer s Disease (2022) Vol. 90, Iss. 2, pp. 609-624
Closed Access | Times Cited: 7
Mycophenolate mofetil reduces the risk of relapse in anti-leucine-rich glioma–inactivated protein 1 encephalitis: a prospective observational cohort study
Mange Liu, Xiaolu Xu, Siyuan Fan, et al.
Neurological Sciences (2023) Vol. 45, Iss. 1, pp. 253-260
Closed Access | Times Cited: 2
The Relationship between Trait Impulsivity and Everyday Executive Functions among Patients with Type 2 Diabetes Mellitus: The Mediating Effect of Negative Emotions
Na Liu, Chunni Heng, Yi Cui, et al.
Journal of Diabetes Research (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 2
Identifying the top determinants of psychological resilience among community older adults during COVID-19 in Taiwan: A random forest approach
Jia‐Jen Chen, Li‐Fan Liu, Sheng‐Mao Chang, et al.
Machine Learning with Applications (2023) Vol. 14, pp. 100494-100494
Open Access | Times Cited: 2
Association Between High Serum Tetrahydrofolate and Low Cognitive Functions in the United States: A Cross-Sectional Study
Yaohua Fan, Wen Liu, Si Chen, et al.
Journal of Alzheimer s Disease (2022) Vol. 89, Iss. 1, pp. 163-179
Closed Access | Times Cited: 3
Comparison of machine learning algorithms for predicting cognitive impairment using neuropsychological tests
Chanda Simfukwe, Seong Soo An, Young Chul Youn
Applied Neuropsychology Adult (2024), pp. 1-12
Closed Access
Factors associated with a high level of suicide risk among patients with late-life depression: a cross-sectional study from a tertiary psychiatric hospital in Guangzhou China
Fei Liu, Junrong Ye, Yanheng Wei, et al.
BMC Geriatrics (2024) Vol. 24, Iss. 1
Open Access
Predictive Analytics for Diagnosing Alzheimer’s Disease Using Artificial Intelligence and Machine Learning Algorithms
Hemanth Kumar Nichenametla, Suresh Kumar Peddoju, Sudheer Shetty
Communications in computer and information science (2024), pp. 232-253
Closed Access
Previsão do comprometimento cognitivo leve: integrando variáveis cognitivas e motoras
Maria Luiza Wuillaume, Jefferson de Moraes Rafael, Lissandra Dal Lago, et al.
Journal of Health Informatics (2024) Vol. 16, Iss. Especial
Open Access
Korelasi Derajat Atrofi Lobus Temporal Medial Berdasarkan Skor Medial Temporal Atrofi (MTA) Menggunakan Magnetic Resonance Imaging (MRI) Dengan Gangguan Kognitif Berdasarkan Skor Mini Mental State Examination (MMSE) Pada Pasien Usia Lanjut
Meinevie Susanna Rondonuwu
E-Jurnal Medika Udayana (2023) Vol. 12, Iss. 12, pp. 59-59
Open Access
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