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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:

Smart Shoe Classification Using Artificial Intelligence on EfficientnetB3 Model
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
(2023), pp. 254-258
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

The Evolution of Cryptocurrencies: Analysis of Bitcoin, Ethereum, Bit connect and Dogecoin in Comparison
Muskan Agarwal, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access | Times Cited: 7
Evaluating the MobileNet50 CNN Model for Deep Learning-Based Maize Visualisation and Classification
Muskan Agarwal, Kanwarpartap Singh Gill, Rahul Chauhan, et al.
(2024), pp. 01-06
Closed Access | Times Cited: 4
Classification of Student Mental Health Analysis using Logistic Regression and other classification techniques through Machine Learning Methods
Nishant Pritam, Kanwarpartap Singh Gill, Mukesh Kumar, et al.
(2024)
Closed Access | Times Cited: 2
Incorporating the CatBoost Classification Method in Machine Learning Applications for Smote Analysis and Bankruptcy Data Equalisation
Muskan Singla, Kanwarpartap Singh Gill, Mukesh Kumar, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 2
Visualisation and Classification of Coffee Leaves via the Use of a Sequential CNN Model Based on Deep Learning
Muskan Singla, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 2
Utilizing Machine Learning and employing the XGBoost Classification Technique for evaluating the likelihood of Autism Spectrum Disorder (ASD)
Khushi Mittal, Kanwarpartap Singh Gill, Kapil Rajput, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 2
ResNet50 Utilization for Bag Classification: A CNN Model Visualization Approach in Deep Learning
Muskan Singla, Kanwarpartap Singh Gill, Rahul Chauhan, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 2
Classification of Tweets using a Machine Learning and Natural Language Processing Algorithm for Disaster Prediction
Kanwarpartap Singh Gill, Vatsala Anand, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Impact of a Novel Convolution Neural Network on Chest X-Ray Images for Pneumonia Detection
Ricky Rajora, Himakshi Gupta, Rahul Chauhan, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access | Times Cited: 1
Analysing the Electrical Fault Detection and Classification Capabilities of a Decision Tree Classifier
Khushi Mittal, Kanwarpartap Singh Gill, Rahul Chauhan, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Using Machine Learning and the K-Nearest Neighbour Classification Method to Assess Autism Risk
Muskan Singla, Kanwarpartap Singh Gill, Priyanshi Aggarwal, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Neural Networks Utilization for Oil Spill Classification Using a Sequential CNN Model
Khushi Mittal, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Insights into Red Wine Quality: Utilizing Gradient Boosting for Data Exploration and Prediction Analysis
Khushi Mittal, Kanwarpartap Singh Gill, Sonal Malhotra, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Advancing Multi-Class Brain Tumor Classification With DenseNet201 CNN Based Model Using MRI Images
Khushi Mittal, Kanwarpartap Singh Gill, Sonal Malhotra, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Chest X-ray Image Pneumonia Detection using Transfer Learning and Xception CNN Model
Muskan Singla, Kanwarpartap Singh Gill, Sonal Malhotra, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Utilization of Naive Bayes Classifier for Autism Risk Assessment Using Machine Learning
Kanwarpartap Singh Gill, Bhavya, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access
Establishing a Machine Learning-Based Random Forest Classifier to Estimate Autism Risk
Kanwarpartap Singh Gill, Jhalak Agrawal, Rahul Chauhan, et al.
(2024), pp. 1-6
Closed Access
Using Machine Learning-based SMOTE Analysis with the Light GBM Classification Method to Classify Diabetic Patients
Kanwarpartap Singh Gill, Vatsala Anand, Rahul Chauhan, et al.
(2024), pp. 1-5
Closed Access
Diabetes Classification Using XG Boost Classification Techniques Through Machine Learning based SMOTE Analysis
Kanwarpartap Singh Gill, Vatsala Anand, Deepak Upadhyay, et al.
(2024), pp. 1-4
Closed Access
Sports Game Classification and Detection Using ResNet50 Model Through Machine Learning Techniques Using Artificial Intelligence
Kanwarpartap Singh Gill, Vatsala Anand, Sonal Malhotra, et al.
(2024), pp. 1-5
Closed Access
Exploratory Data Analysis for Red Wine Quality Prediction Using a Decision Tree Approach and Machine Learning Methods
Muskan Singla, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access
Healthcare Insurance Cost Classification Using Machine Learning's Linear Regression Approach
Kanwarpartap Singh Gill, Rupesh Gupta, Mukesh Kumar, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
Transfer Learning Paradigm: A Comparative Analysis of VGG16 and EfficientNet in Childhood Leukemia Detection
Ricky Rajora, Himakshi Gupta, Mukesh Kumar, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
Dogecoin price prediction – Through Utilization of XGBoost Model & GridSearchCV Classification Technique
Muskan Singla, Kanwarpartap Singh Gill, Rahul Chauhan, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
Applying Machine Learning and the Gradient Boosting Classification Method for Evaluating the Probability of Autism
Khushi Mittal, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
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