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:
Artificial Neural Network Based Effective Detection of Breast Cancer By Using Mammogram Data
Raihana Parveen R, Kolla Vivek, Madireddi Srinivasa Rao, et al.
(2023)
Closed Access | Times Cited: 10
Raihana Parveen R, Kolla Vivek, Madireddi Srinivasa Rao, et al.
(2023)
Closed Access | Times Cited: 10
Showing 10 citing articles:
An Extensive Analysis of Deep Learning-Based Human Activity Detection Techniques
Chittemsetty Naveen Kumar, D Bujji Babu
(2024), pp. 1289-1292
Closed Access | Times Cited: 1
Chittemsetty Naveen Kumar, D Bujji Babu
(2024), pp. 1289-1292
Closed Access | Times Cited: 1
A Hybrid Time Series Rainfall Prediction Model Using Neural Prophet and LS TM
G. Lakshmi Vara Prasad, B. Ravi Teja, Talluri Haribabu, et al.
(2023), pp. 1582-1587
Closed Access | Times Cited: 3
G. Lakshmi Vara Prasad, B. Ravi Teja, Talluri Haribabu, et al.
(2023), pp. 1582-1587
Closed Access | Times Cited: 3
Kernel-Based SVM Classifiers for Multi-Disease Forecasting: A Meta-Analysis
Dudla Anil kumar, U Jyothi, K. Mohan, et al.
(2023), pp. 841-847
Closed Access | Times Cited: 2
Dudla Anil kumar, U Jyothi, K. Mohan, et al.
(2023), pp. 841-847
Closed Access | Times Cited: 2
An In-Depth Analysis of Deep Learning and Machine Learning Methods for Identifying Rice Leaf Diseases
Murala Praveena, Vidyanadha Babu Dubisetty, Kurapati Veeranjaneya Varaprasad, et al.
(2023), pp. 951-955
Closed Access | Times Cited: 2
Murala Praveena, Vidyanadha Babu Dubisetty, Kurapati Veeranjaneya Varaprasad, et al.
(2023), pp. 951-955
Closed Access | Times Cited: 2
Employability Prediction using Facebook Prophet for Computer Science and Engineering Graduates
Modugula Sivajyothi, Shaik Salma, Gummadi Sudha Rani, et al.
(2023), pp. 257-262
Closed Access | Times Cited: 1
Modugula Sivajyothi, Shaik Salma, Gummadi Sudha Rani, et al.
(2023), pp. 257-262
Closed Access | Times Cited: 1
Grape Leaf Disease Recognition: A Deep Learning and Machine Learning Techniques Overview
G. Lakshmi Vara Prasad, B. Ravi Teja, G Karthika, et al.
(2023), pp. 720-724
Closed Access | Times Cited: 1
G. Lakshmi Vara Prasad, B. Ravi Teja, G Karthika, et al.
(2023), pp. 720-724
Closed Access | Times Cited: 1
Comparison of Time-Series Forecasting Models based on Prophets for Predicting Rainfall
P. Anuradha, V. Usha, Katam Naga Lakshman, et al.
(2023), pp. 1542-1545
Closed Access
P. Anuradha, V. Usha, Katam Naga Lakshman, et al.
(2023), pp. 1542-1545
Closed Access
Leveraging CNN and LSTM for Identifying Citrus Leaf Disorders
Dasari Ashok, Neelam Mary Vijaya Nirmala, Doddi Srilatha, et al.
(2023), pp. 730-735
Closed Access
Dasari Ashok, Neelam Mary Vijaya Nirmala, Doddi Srilatha, et al.
(2023), pp. 730-735
Closed Access
Leveraging Deep Belief Networks and Multi-Class Support Vector Machine for Nutritional Deficiency Identification in Grape Plant Leaves
P Kiran, N Saikiran, Doddi Srilatha, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 1063-1068
Closed Access
P Kiran, N Saikiran, Doddi Srilatha, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 1063-1068
Closed Access
The Potential Uses of Data Science and Deep Learning Techniques in Mining Biological Data: A Comprehensive Analysis
Murala Praveena, K. Sivaraman
(2023), pp. 755-759
Closed Access
Murala Praveena, K. Sivaraman
(2023), pp. 755-759
Closed Access
