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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:

Environmental chemical exposure dynamics and machine learning-based prediction of diabetes mellitus
Hongcheng Wei, Jie Sun, Wenqi Shan, et al.
The Science of The Total Environment (2021) Vol. 806, pp. 150674-150674
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
Luis Fregoso-Aparicio, Julieta Noguez, Luis Montesinos, et al.
Diabetology & Metabolic Syndrome (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 113
Artificial intelligence for diabetes: Enhancing prevention, diagnosis, and effective management
Mohamed Khalifa, Mona Albadawy
Computer Methods and Programs in Biomedicine Update (2024) Vol. 5, pp. 100141-100141
Open Access | Times Cited: 20
Association between exposure to organophosphorus pesticides and the risk of diabetes among US Adults: Cross-sectional findings from the National Health and Nutrition Examination Survey
Xianwei Guo, Hao Wang, Qiuxia Song, et al.
Chemosphere (2022) Vol. 301, pp. 134471-134471
Closed Access | Times Cited: 59
Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
Elaheh Afsaneh, Amin Sharifdini, Hadi Ghazzaghi, et al.
Diabetology & Metabolic Syndrome (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 56
Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
Orlando Iparraguirre-Villanueva, Karina Espinola-Linares, Rosalynn Ornella Flores-Castañeda, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2383-2383
Open Access | Times Cited: 40
Effects of heavy metal exposure on hypertension: A machine learning modeling approach
Wenxiang Li, Guangyi Huang, Ningning Tang, et al.
Chemosphere (2023) Vol. 337, pp. 139435-139435
Closed Access | Times Cited: 27
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh
Md. Jamal Uddin, Md. Martuza Ahamad, Md. Nesarul Hoque, et al.
Information (2023) Vol. 14, Iss. 7, pp. 376-376
Open Access | Times Cited: 26
Diabetes risk prediction model based on community follow-up data using machine learning
Liangjun Jiang, Zhenhua Xia, Ronghui Zhu, et al.
Preventive Medicine Reports (2023) Vol. 35, pp. 102358-102358
Open Access | Times Cited: 25
Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 9
Development and validation of predictive models for diabetic retinopathy using machine learning
Peigang Yang, Bin Yang
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318226-e0318226
Open Access | Times Cited: 1
Predicting the Risk of Incident Type 2 Diabetes Mellitus in Chinese Elderly Using Machine Learning Techniques
Qing Liu, Miao Zhang, Yifeng He, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 6, pp. 905-905
Open Access | Times Cited: 32
A machine learning-based diagnosis modelling of type 2 diabetes mellitus with environmental metal exposure
Min Zhao, Jin W, Wenzhi Qin, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 235, pp. 107537-107537
Closed Access | Times Cited: 22
Risk of papillary thyroid carcinoma and nodular goiter associated with exposure to semi-volatile organic compounds: A multi-pollutant assessment based on machine learning algorithms
Fei Wang, Yuanxin Lin, Jianing Xu, et al.
The Science of The Total Environment (2024) Vol. 915, pp. 169962-169962
Closed Access | Times Cited: 7
Potential lethality of organochlorine pesticides: Inducing fatality through inflammatory responses in the organism
Jiaxing Tan, Mengkai Ma, Xinyue Shen, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 279, pp. 116508-116508
Open Access | Times Cited: 7
Prediction of developmental toxic effects of fine particulate matter (PM2.5) water-soluble components via machine learning through observation of PM2.5 from diverse urban areas
Yang Fan, Nannan Sun, Shenchong Lv, et al.
The Science of The Total Environment (2024) Vol. 946, pp. 174027-174027
Open Access | Times Cited: 5
The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access
The development, degeneration and immune function fate of bursa of Fabricius in the widely distributed altricial tree sparrow
Yue Shen, Fei Jin, Zhaocun Lin, et al.
Zoomorphology (2025) Vol. 144, Iss. 1
Closed Access
Unveiling the effect of urinary xenoestrogens on chronic kidney disease in adults: A machine learning model
Bowen Zhang, Liang Chen, Tao Li
Ecotoxicology and Environmental Safety (2025) Vol. 292, pp. 117945-117945
Closed Access
Construction and Verification of a Frailty Risk Prediction Model for Elderly Patients with Coronary Heart Disease Based on a Machine Learning Algorithm
Jiaoyu Cao, Lixiang Zhang, X. R. Zhou
Reviews in Cardiovascular Medicine (2025) Vol. 26, Iss. 2
Open Access
Three components of glucose dynamics – value, variability, and autocorrelation – are independently associated with coronary plaque vulnerability
Hikaru Sugimoto, Ken‐ichi Hironaka, Tomoko Yamada, et al.
(2025)
Open Access
Three components of glucose dynamics – value, variability, and autocorrelation – are independently associated with coronary plaque vulnerability
Hikaru Sugimoto, Ken‐ichi Hironaka, Tomoko Yamada, et al.
(2025)
Open Access
Mechanistic investigation of Shuanghuanglian against infectious bronchitis in chickens: a network pharmacology and molecular dynamics study
Fei You, Hua Zhang, Linghao Meng, et al.
Frontiers in Veterinary Science (2025) Vol. 12
Open Access
A Novel Approach for Early Detection of Type 2 Diabetes With Advanced ML Algorithms Based on SFS and PCA
Mohd Firoz Warsi, Shiv Narain Gupta, Jitendra Mohan, et al.
IGI Global eBooks (2025), pp. 53-76
Closed Access
Improved detection of decreased glucose handling capacities via continuous glucose monitoring-derived indices
Hikaru Sugimoto, Ken‐ichi Hironaka, Tomoaki Nakamura, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Experimental study on reducing the base sediment and water in crude oil separation
Nageswara Rao Lakkimsetty, Baburao Gaddala, Dadapeer Doddamani, et al.
Fuel (2025) Vol. 397, pp. 135478-135478
Closed Access
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