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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:

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

Showing 14 citing articles:

Disease Prediction Using Machine Learning
Subham Dubey, S Banik, Deba Ghosh, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 6
CONCURRENT PREDICTION OF DIABETES AND HYPERTENSION USING DEEP LEARNING
Abubakar Bello Bada, Ahmed Baita Garko, Danlami Gabi, et al.
FUDMA Journal of Sciences (2025) Vol. 9, Iss. 3, pp. 100-106
Closed Access
Triple Diseases Prediction System using Deep Learning Techniques
R. Vijayan, V Mareeswari, Akula Jaswanth
(2024), pp. 1-7
Closed Access | Times Cited: 1
Multi-Faceted Approach to Cardiovascular Risk Assessment by Utilizing Predictive Machine Learning and Clinical Data in a Unified Web Platform
Khadiza Akther, Md. Saidur Rahman Kohinoor, Bushra Siddika Priya, et al.
IEEE Access (2024) Vol. 12, pp. 120454-120473
Open Access | Times Cited: 1
Comparison of SVM and LSTM for Power Line Communication State Information Forecasting Using Streamlit Framework
Juan Huo, Chaochao Zhang, Changtong Lu
(2023), pp. 179-182
Closed Access | Times Cited: 1
Streamlit-Powered Comprehensive Health Analysis and Disease Prediction System
K Mahendran, S. Surya, E Thejashrayal
(2023), pp. 1-7
Closed Access | Times Cited: 1
Comparative Analysis of Machine Learning Techniques for Heart Disease Prediction
N. Susitha, H. Selvi, Nikhil Kumar, et al.
(2023), pp. 496-500
Closed Access | Times Cited: 1
Predicting Multiple Diseases with Machine Learning and Streamlit: Enhancing Healthcare Digitally
Urvashi Bandal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 04, pp. 1-5
Open Access
Synergizing Machine Learning and Blockchain for Pioneering Early Disease Detection: A Focused Study on COVID-19 Diagnosis
Jayendra Jadhav, Jyoti Deshmukh
SSRN Electronic Journal (2024)
Closed Access
Predictive Disease Modeling for Proactive Healthcare
Snehal Mohite, Sagar Mohite, Jeel Sutariya, et al.
(2024), pp. 1-6
Closed Access
Web-Based Patient Health Management System with Doctor Recommendations and Medicine Alternatives using Machine Learning
S Hemkiran, Mohammad Mudasir War, K S Aadhithiyan, et al.
(2024) Vol. 11, pp. 68-73
Closed Access
Diabetic Complication Detection and Prevention using Convolutional Neural Networks
A. Apoorva, Ch. Nanda Krishna, E.S. Chaitanya Swamy
(2024), pp. 1251-1256
Closed Access
Responsible Software Systems for Disease Diagnostics Using Symptom Text
Ggaliwango Marvin, Ben Kyeyune, Daudi Jjingo
(2024), pp. 774-781
Closed Access
Empowering Health With an Advanced Multi-Disease Prediction System and Medical Encyclopaedia
Souradeep Paul, S Pal, Lidia Ghosh
Advances in civil and industrial engineering book series (2023), pp. 169-189
Closed Access
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