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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:

Machine learning based diabetes prediction and development of smart web application
Nazin Ahmed, Rayhan Ahammed, Md. Manowarul Islam, et al.
International Journal of Cognitive Computing in Engineering (2021) Vol. 2, pp. 229-241
Open Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Diabetes prediction using machine learning and explainable AI techniques
Isfafuzzaman Tasin, Tansin Ullah Nabil, Sanjida Islam, et al.
Healthcare Technology Letters (2022) Vol. 10, Iss. 1-2, pp. 1-10
Open Access | Times Cited: 141
A dependable hybrid machine learning model for network intrusion detection
Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, et al.
Journal of Information Security and Applications (2022) Vol. 72, pp. 103405-103405
Open Access | Times Cited: 102
Automatic COVID-19 prediction using explainable machine learning techniques
Sanzida Solayman, Sk. Azmiara Aumi, Chand Sultana Mery, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 36-46
Open Access | Times Cited: 61
A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection
Selina Sharmin, Tanvir Ahammad, Md. Alamin Talukder, et al.
IEEE Access (2023) Vol. 11, pp. 87694-87708
Open Access | Times Cited: 61
DeepCrop: Deep learning-based crop disease prediction with web application
Md. Manowarul Islam, Md. Adil, Md. Alamin Talukder, et al.
Journal of Agriculture and Food Research (2023) Vol. 14, pp. 100764-100764
Open Access | Times Cited: 55
Healthcare Performance in Predicting Type 2 Diabetes Using Machine Learning Algorithms
Khushwant Singh, Dheerdhwaj Barak
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 130-141
Closed Access | Times Cited: 19
Deep learning for object recognition: A comprehensive review of models and algorithms
Paschalis Tsirtsakis, Georgios Zacharis, George S. Maraslidis, et al.
International Journal of Cognitive Computing in Engineering (2025)
Open Access | Times Cited: 5
Automatic driver distraction detection using deep convolutional neural networks
Md. Uzzol Hossain, Md. Ataur Rahman, Md. Manowarul Islam, et al.
Intelligent Systems with Applications (2022) Vol. 14, pp. 200075-200075
Open Access | Times Cited: 44
A robust hybrid machine learning model for Bengali cyber bullying detection in social media
Arnisha Akhter, Uzzal Kumar Acharjee, Md. Alamin Talukder, et al.
Natural Language Processing Journal (2023) Vol. 4, pp. 100027-100027
Open Access | Times Cited: 41
Comparison of multiclass classification techniques using dry bean dataset
Md. Salauddin Khan, Tushar Deb Nath, Md. Murad Hossain, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 6-20
Open Access | Times Cited: 30
A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture
Md. Manowarul Islam, Md. Alamin Talukder, Md. Ruhul Amin Sarker, et al.
Intelligent Systems with Applications (2023) Vol. 20, pp. 200278-200278
Open Access | Times Cited: 30
A Proposed Technique Using Machine Learning for the Prediction of Diabetes Disease through a Mobile App
Hosam F. El-Sofany, Samir Abou El-Seoud, Omar H. Karam, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 12
An Explainable Artificial Intelligence Software System for Predicting Diabetes
Parvathaneni Naga Srinivasu, Shakeel Ahmed, M. Hassaballah, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36112-e36112
Open Access | Times Cited: 9
A robust and clinically applicable deep learning model for early detection of Alzheimer's
Md Masud Rana, Md. Manowarul Islam, Md. Alamin Talukder, et al.
IET Image Processing (2023) Vol. 17, Iss. 14, pp. 3959-3975
Open Access | Times Cited: 22
XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer
Sarreha Tasmin Rikta, Khandaker Mohammad Mohi Uddin, Nitish Biswas, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100307-100307
Open Access | Times Cited: 21
Amalgamation of Blockchain with resource-constrained IoT devices for healthcare applications – State of art, challenges and future directions
Pawan Hegde, Praveen Kumar Reddy Maddikunta
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 220-239
Open Access | Times Cited: 21
An ensemble machine learning based bank loan approval predictions system with a smart application
Nazim Uddin, Md. Khabir Uddin Ahamed, Md Ashraf Uddin, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 327-339
Open Access | Times Cited: 18
A risk assessment and prediction framework for diabetes mellitus using machine learning algorithms
Salliah Shafi Bhat, M. Nazreen Banu, Gufran Ahmad Ansari, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100273-100273
Open Access | Times Cited: 18
Analyze the impact of feature selection techniques in the early prediction of CKD
K. Hema, K. Meena, Ramaraj Pandian
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 66-77
Open Access | Times Cited: 8
Harnessing machine learning models for non-invasive pre-diabetes screening in children and adolescents
Savitesh Kushwaha, Rachana Srivastava, Rachita Jain, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107180-107180
Closed Access | Times Cited: 24
Multiple Disease Prediction System using Machine Learning and Streamlit
Laxmi Deepthi Gopisetti, Srinivas Karthik Lambavai Kummera, Sai Rohan Pattamsetti, et al.
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 923-931
Closed Access | Times Cited: 14
A Comprehensive Review of Various Diabetic Prediction Models: A Literature Survey
Roshi Saxena, Sanjay Kumar Sharma, Manali Gupta, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 22
Detecting High-Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods
Zahid Ullah, Farrukh Saleem, Mona Jamjoom, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 21
Stacking ensemble approach to diagnosing the disease of diabetes
Alfredo Daza Vergaray, Carlos Fidel Ponce Sánchez, Gonzalo Apaza-Perez, et al.
Informatics in Medicine Unlocked (2023) Vol. 44, pp. 101427-101427
Open Access | Times Cited: 13
Optimized Deep Belief Networks Based Categorization of Type 2 Diabetes using Tabu Search Optimization
Smita Panigrahy, Sachikanta Dash, Sasmita Padhy
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access | Times Cited: 4
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