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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:

Sentiment Analysis Using Neural Networks: A New Approach
Shiv Dhar, Suyog Pednekar, Kishan Borad, et al.
(2018), pp. 1220-1224
Closed Access | Times Cited: 16

Showing 16 citing articles:

Sentimental Analysis Using Supervised Learning Algorithms
Devansh Shah, Arun Singh, Sudha Shanker Prasad
(2022)
Closed Access | Times Cited: 29
Comparison of Machine Learning Models for Sentiment Analysis of Big Turkish Web-Based Data
Cemile Gökçe Özmen, Selim Gündüz
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2297-2297
Open Access
Augmented Intelligence in Mental Health Care: Sentiment Analysis and Emotion Detection with Health Care Perspective
Asmita De, Sushruta Mishra
Studies in computational intelligence (2022), pp. 205-235
Closed Access | Times Cited: 14
A Systematic Review On Sentiment Analysis Approaches
Durgesh Srivastava, Vijay Kumar Soni
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022), pp. 01-06
Closed Access | Times Cited: 13
A Review on Twitter Sentiment Analysis Approaches
Jasiya Fairiz Raisa, Maliha Ulfat, Abdullah Al Mueed, et al.
(2021)
Closed Access | Times Cited: 14
Sentiment Analysis on Customer Reviews using Convolutional Neural Network
Srikanth Tammina, Sunil Annareddy
2022 International Conference on Computer Communication and Informatics (ICCCI) (2020), pp. 1-6
Closed Access | Times Cited: 13
Twitter sentiment analysis using ensemble of multi-channel model based on machine learning and deep learning techniques
Jitendra V. Tembhurne, Kirtan Lakhotia, Anant Agrawal
Knowledge and Information Systems (2024) Vol. 67, Iss. 2, pp. 1045-1071
Closed Access | Times Cited: 1
Online review analysis on various networks’ consumer feedback using deep learning
Huajin Liu
IET Networks (2022) Vol. 11, Iss. 6, pp. 234-244
Open Access | Times Cited: 4
Comparative Analysis of Machine Learning Models for Sentiment Analysis of Twitter Data
Usama Shehroz, Nafeesath Parappurath Puthiyapurayil, Talha Ali Khan, et al.
(2024), pp. 1-7
Closed Access
Multi-channel CNN-BiGRU Neural Network For Sentiment Analysis
Bhavik Kanekar, Anand Godbole
Algorithms for intelligent systems (2021), pp. 527-536
Closed Access | Times Cited: 2
Mutual impact of acoustic and linguistic representations for continuous emotion recognition in call-center conversations
Marie Tahon, Manon Macary, Yannick Estève, et al.
(2021)
Open Access | Times Cited: 2
Opinion Mining Analysis of Twitter Users of Particular Topic
Sneha Naik, Mona Mulchandani
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2020), pp. 102-108
Open Access | Times Cited: 1
Detection of Mental Health Issues and Solution to Online Toxicity using Machine Learning
H K Parjanya, Ramakrishna Hegde, Nikhil Kumar Mishra, et al.
(2023), pp. 1-7
Closed Access
Review of Sentiment Detection
Smiley Gupta, Jagtar Singh
International Journal of Distributed Artificial Intelligence (2019) Vol. 11, Iss. 1, pp. 44-53
Closed Access
An Organized Study of Opinion Methods
Ms. Komal Sandhu, Durgesh Nandan
(2022), pp. 680-684
Closed Access
Mutual impact of acoustic and linguistic representations for continuous emotion recognition in call-center conversations
Marie Tahon, Manon Macary, Yannick Estève, et al.
(2021)
Open Access
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