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:

A Prediction and Recommendation System for Diabetes Mellitus using XAI-based Lime Explainer
P. Nagaraj, V. Muneeswaran, A Dharanidharan, et al.
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2022)
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare
Toly Chen, Hsin‐Chieh Wu, Min-Chi Chiu
Applied Soft Computing (2023) Vol. 152, pp. 111183-111183
Closed Access | Times Cited: 26

Ambient Intelligence (AmI)
Toly Chen
SpringerBriefs in applied sciences and technology (2024), pp. 1-21
Closed Access | Times Cited: 4

Particle Swarm Optimization based Detection of Diabetic Retinopathy using a Novel Deep CNN
B Revathi, S. K. Kezial Elizabeth, P. Nagaraj, et al.
(2023), pp. 998-1003
Closed Access | Times Cited: 11

E-Commerce Customer Churn Prediction Scheme Based on Customer Behaviour Using Machine Learning
P. Nagaraj, V. Muneeswaran, A Dharanidharan, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023)
Closed Access | Times Cited: 10

Internet of Things based Weather and Water Quality Monitoring System
B. Perumal, P. Nagaraj, B. Gayathri Durga, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 998-1002
Closed Access | Times Cited: 15

Identification of Skin Diseases using a Novel Deep CNN
P. Nagaraj, V. Muneeswaran, K. Jaya Krishna, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 992-997
Closed Access | Times Cited: 14

Automation of Glucose Control for Type-2 Diabetes Mellitus
J. Deny, P. Rajalakshmi, V. Muneeswaran, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 79-83
Closed Access | Times Cited: 12

A Mobile App That Addresses Interpretability Challenges in Machine Learning–Based Diabetes Predictions: Survey-Based User Study
Rasha Hendawi, Juan Li, Souradip Roy
JMIR Formative Research (2023) Vol. 7, pp. e50328-e50328
Open Access | Times Cited: 6

Ensemble Machine Learning (Grid Search & Random Forest) based Enhanced Medical Expert Recommendation System for Diabetes Mellitus Prediction
P. Nagaraj, V. Muneeswaran, K. Muthamil Sudar, et al.
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC) (2022), pp. 757-765
Closed Access | Times Cited: 9

Interpretable machine learning analysis to identify risk factors for diabetes using the anonymous living census data of Japan
Pei Jiang, H. Suzuki, Takashi Obi
Health and Technology (2023) Vol. 13, Iss. 1, pp. 119-131
Open Access | Times Cited: 4

Analysis of Spam Messages Using Various Machine Learning Classifier
P. Nagaraj, R Gopal., B Sunethra, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 7

Yolo: Human Detection-Based Intelligent Home Automation using IOT
P. Nagaraj, S. Sathish, M Mathan Kumar, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023)
Closed Access | Times Cited: 3

Comparative Analysis for Prediction and Classification of Mental Health Issues and Challenges Using Hybrid Learning Techniques
P. Nagaraj, Manish Kumar, E. Sudheer Kumar, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023)
Closed Access | Times Cited: 3

IoT-based Sweat Glucose Monitoring System
J. Deny, P. Rajalakshmi, P. Nagaraj
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 1540-1544
Closed Access | Times Cited: 3

An Explainable Framework to Predict Child Sexual Abuse Awareness in People Using Supervised Machine Learning Models
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Journal of Technology in Behavioral Science (2023) Vol. 9, Iss. 2, pp. 346-362
Open Access | Times Cited: 3

Smart Segregation of Waste and Automatic Monitoring System
V. Muneeswaran, P. Nagaraj, A. Akhila, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023) Vol. 3, pp. 1-6
Closed Access | Times Cited: 2

Automatic Email Spam Classification Using Naïve Bayes
P. Nagaraj, V. Muneeswaran, G Shyam Sundar Reddy, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023), pp. 1-5
Closed Access | Times Cited: 2

A Diabetes Prediction Model with Visualized Explainable Artificial Intelligence (XAI) Technology
Yanfeng Zhao, Jun Kit Chaw, Mei Choo Ang, et al.
Lecture notes in computer science (2023), pp. 648-661
Closed Access | Times Cited: 2

Explainable AI for Breast Cancer Detection: A LIME-Driven Approach
Tarek Khater, Abir Hussain, Soliman A. Mahmoud, et al.
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2023), pp. 540-545
Closed Access | Times Cited: 2

Deep Learning Classification Techniques on Detecting Diabetic Retinopathy Dataset
B Revathi, C. Usharani, S. K. Kezial Elizabeth, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access

Megan - A Sports Chatbot using OpenAI APIs and Django Framework with Python
M. Yagnasri Priya, Samrudhi S. Kamble, Sanjivani P. Shendre, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access

An Explainable Predictive Model for Diabetes Detection Using Shapley Additive Explanations Approach
Abdul Rahman Khan, Saundarya Yadav, Parma Nand, et al.
Lecture notes in networks and systems (2024), pp. 304-317
Closed Access

Tumor Identification in CTScan/UltraSound Using Deep Learning Technique
B. Perumal, P. Nagaraj, V. Muneeswaran, et al.
(2022), pp. 1-7
Closed Access | Times Cited: 3

Explainability Requirements for Time Series Forecasts: A Study in the Energy Domain
Jakob Droste, Ronja Fuchs, Hannah Deters, et al.
(2024), pp. 229-239
Closed Access

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