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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.

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Showing 24 citing articles:

Machine Learning–Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study
Hyejun Kim, Yejun Son, Hojae Lee, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e55913-e55913
Open Access | Times Cited: 9
Discrimination of tea seed oil adulteration based on near-infrared spectroscopy and combined preprocessing method
Lingfei Kong, Chengzhao Wu, Hung‐Wing Li, et al.
Journal of Food Composition and Analysis (2024) Vol. 134, pp. 106560-106560
Closed Access | Times Cited: 6
Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort
Yu Jung Kim, Hayeon Lee, Ho Geol Woo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
An exploration of distinguishing subjective cognitive decline and mild cognitive impairment based on resting-state prefrontal functional connectivity assessed by functional near-infrared spectroscopy
Zhengping Pu, Hongna Huang, Man Li, et al.
Frontiers in Aging Neuroscience (2025) Vol. 16
Open Access
Multisensory Stimulation in Rehabilitation of Dementia: A Systematic Review
Andrea Calderone, Angela Marra, Rosaria De Luca, et al.
Biomedicines (2025) Vol. 13, Iss. 1, pp. 149-149
Open Access
Machine learning-based prediction of substance use in adolescents in 3 independent worldwide cohorts: Algorithm development and validation study (Preprint)
Soeun Kim, Hyejun Kim, Seokjun Kim, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e62805-e62805
Open Access
Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model development and validation study
Hayeon Lee, Soon Cheon Hwang, Seoyoung Park, et al.
EClinicalMedicine (2025) Vol. 80, pp. 103069-103069
Closed Access
Resting-State Brain Network Characteristics Related to Mild Cognitive Impairment: A Preliminary fNIRS Proof-of-Concept Study
Guohui Yang, Chenhui Fan, Haozheng Li, et al.
Journal of Integrative Neuroscience (2025) Vol. 24, Iss. 2
Open Access
Artificial intelligence models predicting abnormal uterine bleeding after COVID-19 vaccination
Yunjeong Choi, Jaeyu Park, Hye Jun Kim, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Screening tools for subjective cognitive decline and mild cognitive impairment based on task-state prefrontal functional connectivity: a functional near-infrared spectroscopy study
Zhengping Pu, Hongna Huang, Man Li, et al.
NeuroImage (2025), pp. 121130-121130
Open Access
The Role of Near-Infrared Spectroscopy (NIRS) in Neurological and Neurodegenerative Diseases as Support to Clinical Practice: An Overview of the Literature
Elvira Gjonaj, Caterina Formica, Emanuele Cartella, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 869-869
Open Access
Exploration of Olfaction and ChiPSO in Pediatric Cystic Fibrosis
Tiana M. Saak, Jeremy P. Tervo, Ben Moore, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 8, pp. 2583-2583
Open Access
NeurostimML: a machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036054-036054
Open Access | Times Cited: 2
Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study
Hyunji Sang, Hojae Lee, Jaeyu Park, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e56922-e56922
Open Access | Times Cited: 2
Machine Learning–Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan
Soon Cheon Hwang, Hayeon Lee, Jun Hyuk Lee, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e52794-e52794
Open Access | Times Cited: 2
Effects of intraoperative body temperature, blood pressure, cerebral tissue oxygenation, and anesthesia type on postoperative cognitive functions in geriatric arthroplasty surgery for hip fracture
Güldeniz Argun, Nazan Has Selmi, Hakan Şahin
Joint Diseases and Related Surgery (2024) Vol. 35, Iss. 3, pp. 662-673
Open Access | Times Cited: 1
NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Machine learning-based prediction of substance use in adolescents: Derivation and validation in multinational datasets in South Korea, USA, and Norway (Preprint)
Hojae Lee, Hyejun Kim, Seokjun Kim, et al.
(2024)
Open Access
Machine Learning–Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study (Preprint)
Hyunji Sang, Hojae Lee, Jaeyu Park, et al.
(2024)
Closed Access
Multi-scale neural networks classification of mild cognitive impairment using functional near-infrared spectroscopy
Min‐Kyoung Kang, Keum‐Shik Hong, Dalin Yang, et al.
Journal of Applied Biomedicine (2024) Vol. 45, Iss. 1, pp. 11-22
Closed Access
Soil Moisture Inversion Using Multi-Sensor Remote Sensing Data Based on Feature Selection Method and Adaptive Stacking Algorithm
Liguo Wang, Ya Gao
(2023)
Closed Access
Machine learning-based prediction model for neurodegenerative disease in patients with type 2 diabetes: derivation and validation in two independent Korean cohorts
Sang Youl Rhee, Hyunji Sang, Myeongcheol Lee, et al.
Research Square (Research Square) (2023)
Open Access
Machine Learning–Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study (Preprint)
Hyejun Kim, Yejun Son, Hojae Lee, et al.
(2023)
Open Access
Machine Learning–Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan (Preprint)
Soon Cheon Hwang, Hayeon Lee, Jun Hyuk Lee, et al.
(2023)
Closed Access
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