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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:

Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database
Victor Olsavszky, Mihnea Dosius, Cristian Vlădescu, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 14, pp. 4979-4979
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Leveraging electronic health records for data science: common pitfalls and how to avoid them
Christopher Martin Sauer, Li-Ching Chen, Stephanie L Hyland, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 12, pp. e893-e898
Closed Access | Times Cited: 86
Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
Moiz Qureshi, Khushboo Ishaq, Muhammad Daniyal, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 2
TimeAutoAD: Autonomous Anomaly Detection With Self-Supervised Contrastive Loss for Multivariate Time Series
Yang Jiao, Kai Yang, Dongjing Song, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 9, Iss. 3, pp. 1604-1619
Closed Access | Times Cited: 39
Basic of machine learning and deep learning in imaging for medical physicists
Luigi Manco, N. Maffei, Silvia Strolin, et al.
Physica Medica (2021) Vol. 83, pp. 194-205
Closed Access | Times Cited: 50
Automated Machine Learning Predicts Necessary Upcoming Therapy Changes in Patients With Psoriasis Vulgaris et Arthritis And Uncovers New Influences On Disease Progression: Retrospective Study (Preprint)
Daniel Schaffert, Igor Bibi, Mara Blauth, et al.
JMIR Formative Research (2024) Vol. 8, pp. e55855-e55855
Open Access | Times Cited: 4
Harnessing Electronic Health Records and Artificial Intelligence for Enhanced Cardiovascular Risk Prediction: A Comprehensive Review
Ming‐Lung Tsai, Kuan‐Fu Chen, Pei‐Chun Chen
Journal of the American Heart Association (2025)
Open Access
Large language models aided patient progression documentation according to the ICD standard
Nuria Lebeña, Arantza Casillas, Alicia Pérez
Informatics in Medicine Unlocked (2025), pp. 101637-101637
Open Access
Greenfield FDI attractiveness index: a machine learning approach
Ilan Alon, Vanessa Pilla Galetti Bretas, Alex Sclip, et al.
Competitiveness Review An International Business Journal incorporating Journal of Global Competitiveness (2022) Vol. 32, Iss. 7, pp. 85-108
Open Access | Times Cited: 9
Exploring the influence of COVID-19 on the spread of hand, foot, and mouth disease with an automatic machine learning prediction model
Chuan Yang, Shu-Yi An, Baojun Qiao, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 8, pp. 20369-20385
Open Access | Times Cited: 8
Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Igor Bibi, Daniel Schaffert, Mara Blauth, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e50886-e50886
Open Access | Times Cited: 4
An improved deep echo state network inspired by tissue-like P system forecasting for non-stationary time series
Xiaojian Yang, Qian Liu, Xiyu Liu, et al.
Journal of Membrane Computing (2022) Vol. 4, Iss. 3, pp. 222-231
Open Access | Times Cited: 6
Enhancing Zero-Energy Building Operations for ESG: Accurate Solar Power Prediction through Automatic Machine Learning
Sanghoon Lee, Sangmin Park, Byeongkwan Kang, et al.
Buildings (2023) Vol. 13, Iss. 8, pp. 2050-2050
Open Access | Times Cited: 3
Retrospective analysis and time series forecasting with automated machine learning of ascariasis, enterobiasis and cystic echinococcosis in Romania
Johannes Benecke, Cornelius Benecke, Marius Ciutan, et al.
PLoS neglected tropical diseases (2021) Vol. 15, Iss. 11, pp. e0009831-e0009831
Open Access | Times Cited: 8
Big Data, Decision Models, and Public Health
Chien‐Lung Chan, Chi‐Chang Chang
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 18, pp. 6723-6723
Open Access | Times Cited: 8
Big Data, Decision Models, and Public Health
Chien‐Lung Chan, Chi‐Chang Chang
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 14, pp. 8543-8543
Open Access | Times Cited: 5
The Deep Learning LSTM and MTD Models Best Predict Acute Respiratory Infection among Under-Five-Year Old Children in Somaliland
Mohamed Yusuf Hassan
Symmetry (2021) Vol. 13, Iss. 7, pp. 1156-1156
Open Access | Times Cited: 5
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series
Yang Jiao, Kai Yang, Shaoyu Dou, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
Hypertension and Diabetes in Akatsi South District, Ghana: Modeling and Forecasting
Dorothy O. Asante, Anita Nyarkoa Walker, Theodora Amanda Seidu, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 3
Cleaned Meta Pseudo Labels-Based Pet Behavior Recognition Using Time-Series Sensor Data
JunHyeok Go, Nammee Moon
Sensors (2024) Vol. 24, Iss. 11, pp. 3391-3391
Open Access
Integrated dynamic spiking neural P systems for fault line selection in distribution network
Song Ma, Qiang Yang, Gexiang Zhang, et al.
Natural Computing (2024)
Closed Access
Applications of Emerging Machine Learning Models in Healthcare Industry: A Comprehensive Review
Sanjeev Gour, Rajendra Randa
Algorithms for intelligent systems (2024), pp. 285-305
Closed Access
AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania’s First Wave of COVID-19
Sonja C. S. Simon, Igor Bibi, Daniel Schaffert, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1272-1272
Open Access
The Effect of COVID-19 on Infectious Disease to Outpatient of Children: A Machine Learning Study
Dan Li, Dan Xiang, Shun-Xian Zhang, et al.
SVOA Paediatrics (2023) Vol. 2, Iss. 4, pp. 102-112
Open Access | Times Cited: 1
Usage of deep learning in environmental health risk assessment
Shengyang Qin, Xinxing Duan, Paul Kimm
Work (2021), pp. 1-13
Open Access | Times Cited: 3
Deep Learning of Recurrence Texture in Physiological Signals
Tuan D. Pham
Lecture notes in computer science (2022), pp. 503-514
Closed Access | Times Cited: 1
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