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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:

A Deep Learning Modified Neural Network(DLMNN) based proficient sentiment analysis technique on Twitter data
S. Neelakandan, D. Paulraj, P. Ezhumalai, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2022), pp. 1-20
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing
G. Saravanan, S. Neelakandan, P. Ezhumalai, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 56
An Efficient Hybrid Job Scheduling Optimization (EHJSO) approach to enhance resource search using Cuckoo and Grey Wolf Job Optimization for cloud environment
D. Paulraj, T. Sethukarasi, S. Neelakandan, et al.
PLoS ONE (2023) Vol. 18, Iss. 3, pp. e0282600-e0282600
Open Access | Times Cited: 23
Sentiment analysis on Twitter data towards climate action
Emelie Rosenberg, Carlota Tarazona, Fermín Mallor, et al.
Results in Engineering (2023) Vol. 19, pp. 101287-101287
Open Access | Times Cited: 23
An Efficient Secure Sharing of Electronic Health Records Using IoT-Based Hyperledger Blockchain
S. Velmurugan, M. Prakash, S. Neelakandan, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-16
Open Access | Times Cited: 10
Artificial Intelligence Based Customer Churn Prediction Model for Business Markets
F. Hussain, S. Neelakandan, B. T. Geetha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 33
Robust Facial Expression Recognition Using an Evolutionary Algorithm with a Deep Learning Model
A. V. R. Mayuri, Ranjith Kumar Manoharan, S. Neelakandan, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 468-468
Open Access | Times Cited: 24
Convolution Neural Networks based lungs disease detection and Severity classification
K. Soni Sharmila, S. Thanga Revathi, Pokkuluri Kiran Sree
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023)
Closed Access | Times Cited: 13
Deep Learning-Based Wildfire Image Detection and Classification Systems for Controlling Biomass
M. Prakash, S. Neelakandan, M. Tamilselvi, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 12
Developing Business Management Concepts in the Economic Field Based on Artificial Intelligence in Light of Increasing Data
Shirin Mohamed Rashid, Khairi Ali Auso Ali, Kawar Mohammed Mousa, et al.
(2024)
Open Access | Times Cited: 2
Evolutionary Algorithm Based Feature Subset Selection for Students Academic Performance Analysis
I. Adumbabu, R. MathuSoothana, Sowmya Ramesh Kumar
Intelligent Automation & Soft Computing (2023) Vol. 36, Iss. 3, pp. 3621-3636
Open Access | Times Cited: 6
An explainable deep learning model for prediction of early‐stage chronic kidney disease
A. Vinothini, Baghavathi Priya Sankaralingam, Uma Maheswari Jayachandran, et al.
Computational Intelligence (2023) Vol. 39, Iss. 6, pp. 1022-1038
Closed Access | Times Cited: 5
Privacy-aware access control (PAAC)-based biometric authentication protocol (Bap) for mobile edge computing environment
G. Reshma, B. T. Prasanna, H. S. Niranjana Murthy, et al.
Soft Computing (2023)
Closed Access | Times Cited: 4
Enhancing Medical Image Security: A Deep Learning Approach with Cloud-based Color Space Scrambling
Aswathy K. Cherian, Serin V. Simpson, M. Vaidhehi, et al.
International Journal of Information Technology (2024) Vol. 16, Iss. 8, pp. 5041-5054
Closed Access | Times Cited: 1
Improved Political Optimizer and Deep Neural Network-based Resource Management Strategy for fog Enabled Cloud Computing
M. Prakash, V Vijayaganth, Finney Daniel Shadrach, et al.
2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) (2022), pp. 1-6
Closed Access | Times Cited: 7
Artificial Neural Network with extreme learning machine-based Wastewater Treatment systems
S. Manimekalai, B Prasath, Finney Daniel Shadrach, et al.
2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) (2022), pp. 1-6
Closed Access | Times Cited: 6
Optimal Deep Learning-Based Vocal Fold Disorder Detection and Classification Model on High-Speed Video Endoscopy
S. Sakthivel, V. Prabhu
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 5
Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era
Akande Noah Oluwatobi, Morolake Oladayo Lawrence, Peter Ogedebe
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Sentiment Analysis on Climate Change using Twitter Data
M. Thenmozhi, G. Shubigsha, G Sindhuja, et al.
(2024), pp. 1-6
Closed Access
Balanced Iterative Reduction and Clustering Using Hierarchies (BIRCH) methods to Prioritize and reduce Test Suites
Prajith Prabhakar, Yokesh Venkatesh, A. Prasanth, et al.
Research Square (Research Square) (2024)
Open Access
Leveraging Big Data for Sentiment Analysis: A Review of Techniques, Applications and Challenges
Poornima Shetty, Shashidhar Kini -
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 4
Open Access
Public Participation in Policy Making: Sentiment Analysis of TAPERA Policy on Twitter
Novianita Rulandari
Ilomata International Journal of Social Science (2024) Vol. 5, Iss. 3, pp. 754-768
Closed Access
A Comprehensive Analysis of ‘Machine Learning and Deep Learning’ Methods for Sentiment Analysis in Twitter
Poornima Shetty, Shashidhar Kini, Roshan Fernandes
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access
Sentiment analysis deep learning model based on a novel hybrid embedding method
Chafika Ouni, Emna Benmohamed, Hela Ltifi
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
A Stacking Ensemble Based on Lexicon and Machine Learning Methods for the Sentiment Analysis of Tweets
Sharaf J. Malebary, Anas W. Abulfaraj
Mathematics (2024) Vol. 12, Iss. 21, pp. 3405-3405
Open Access
AI and Database Management for Organizational Transformation With Insights From Twitter Data
S. Jerina Catherina Joy, Deepak Kumar Panda, Prabin Kumar Panigrahi, et al.
Journal of Database Management (2024) Vol. 35, Iss. 1, pp. 1-25
Open Access
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