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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:

SenDemonNet: sentiment analysis for demonetization tweets using heuristic deep neural network
Şafak Kayıkçı
Multimedia Tools and Applications (2022) Vol. 81, Iss. 8, pp. 11341-11378
Open Access | Times Cited: 15

Showing 15 citing articles:

Analysis of customer reviews with an improved VADER lexicon classifier
Kousik Barik, Sanjay Misra
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 10
An Improvised Sentiment Analysis Model on Twitter Data Using Stochastic Gradient Descent (SGD) Optimization Algorithm in Stochastic Gate Neural Network (SGNN)
K. P. Vidyashree, A. B. Rajendra
SN Computer Science (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 21
Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India
K Ananthajothi, K. Karthikayani, R. Prabha
Data & Knowledge Engineering (2022) Vol. 142, pp. 102092-102092
Closed Access | Times Cited: 25
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing
V. V. Sai Kowsik, L. Yashwanth, Srivatsan Harish, et al.
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 3, pp. 765-785
Closed Access | Times Cited: 3
Review on positional significance of LSTM and CNN in the multilayer deep neural architecture for efficient sentiment classification
Srividhya Lakshmi Ramaswamy, C. Jayakumar
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 4, pp. 6077-6105
Closed Access | Times Cited: 6
A Stem to Stern Sentiment Analysis Emotion Detection
N.A. Pratibha, Gaganpreet Kaur, Amandeep Kaur, et al.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2022)
Closed Access | Times Cited: 9
FeDN2: Fuzzy-Enhanced Deep Neural Networks for Improvement of Sentence-Level Sentiment Analysis
Huyen Trang Phan, D. Pham, Ngoc Thanh Nguyên
Cybernetics & Systems (2023), pp. 1-17
Closed Access | Times Cited: 4
Predicting opinion evolution based on information diffusion in social networks using a hybrid fuzzy based approach
Samson Ebenezar Uthirapathy, S. Domnic
International Journal of Information Technology (2022) Vol. 15, Iss. 1, pp. 87-100
Open Access | Times Cited: 5
Emotions on Social Media: A Sentiment Analysis Approach Based on Twitter (X) Data on the Russian-Ukraine War
Ayşen Temel Eğinli, Neslihan ÖZMELEK TAŞ
International Journal of Social Inquiry (2023) Vol. 16, Iss. 2, pp. 445-459
Open Access | Times Cited: 2
Unlocking insights: integrated text mining and interpretive structural modeling for enhanced user review analysis
Na Li, Yutao Liu, Zhan Chen
PeerJ Computer Science (2024) Vol. 10, pp. e2541-e2541
Open Access
Influence of demonetization on various sectors of the Indian economy
Anita Prasad, Anandajit Goswami, Amulya Gurtu
Strategic Management (2023) Vol. 28, Iss. 4, pp. 15-30
Open Access | Times Cited: 1
Analyzing public sentiments on the Cullen Commission inquiry into money laundering: harnessing deep learning in the AI of Things Era
Mark Lokanan
Frontiers in the Internet of Things (2023) Vol. 2
Open Access | Times Cited: 1
Sentiment Analysis of Twitter Data to Detect and Predict Political Leniency Using Natural Language Processing
V. V. Sai Kowsik, L. Yashwanth, Srivatsan Harish, et al.
Research Square (Research Square) (2023)
Open Access
Research on User Review Analysis Based on Text Mining and ISM
Na Li, Yutao Liu, Zhan Chen
Research Square (Research Square) (2023)
Open Access
A Comparative Study of CNNs and DNNs for Emotion Detection from text using TF-IDF
Anil Kumar Jadon, Suresh Kumar
(2023), pp. 1329-1334
Closed Access
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