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:

SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis
Lei Wang, Jianwei Niu, Shui Yu
IEEE Transactions on Knowledge and Data Engineering (2019) Vol. 32, Iss. 10, pp. 2026-2039
Closed Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets
Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, et al.
Knowledge-Based Systems (2021) Vol. 228, pp. 107242-107242
Open Access | Times Cited: 165

A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
Gagandeep Kaur, Amit Sharma
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 104

Transforming sentiment analysis for e-commerce product reviews: Hybrid deep learning model with an innovative term weighting and feature selection
Punithavathi Rasappan, M. Premkumar, Garima Sinha, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103654-103654
Closed Access | Times Cited: 18

An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter
Mohammad A. Hassonah, Rizik Al-Sayyed, Ali Rodan, et al.
Knowledge-Based Systems (2019) Vol. 192, pp. 105353-105353
Closed Access | Times Cited: 97

Sentimental Analysis of Twitter Data with respect to General Elections in India
Ankita Sharma, Udayan Ghose
Procedia Computer Science (2020) Vol. 173, pp. 325-334
Open Access | Times Cited: 85

A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis
Ashima Yadav, Dinesh Kumar Vishwakarma
ACM Transactions on Multimedia Computing Communications and Applications (2022) Vol. 19, Iss. 1, pp. 1-19
Open Access | Times Cited: 51

AI-Assisted Deep NLP-Based Approach for Prediction of Fake News From Social Media Users
Ganesh Gopal Devarajan, Senthil Murugan Nagarajan, Sardar Irfanullah Amanullah, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 4, pp. 4975-4985
Closed Access | Times Cited: 24

A survey on sentiment analysis and its applications
Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al‐Betar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 21567-21601
Closed Access | Times Cited: 24

An efficient approach for sentiment analysis using machine learning algorithm
A. Naresh, P. Venkata Krishna
Evolutionary Intelligence (2020) Vol. 14, Iss. 2, pp. 725-731
Closed Access | Times Cited: 56

A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers
David Martin-Gutierrez, Gustavo Hernández-Peñaloza, Alberto Belmonte-Hernández, et al.
IEEE Access (2021) Vol. 9, pp. 54591-54601
Open Access | Times Cited: 46

FlexGraph
Lei Wang, Qiang Yin, Chao Tian, et al.
(2021), pp. 67-82
Closed Access | Times Cited: 42

A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews
Sandipan Sahu, Raghvendra Kumar, M. M. Pathan, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1568-1568
Open Access | Times Cited: 29

A Cooperative Binary-Clustering Framework Based on Majority Voting for Twitter Sentiment Analysis
Maryum Bibi, Wajid Aziz, Majid Almaraashi, et al.
IEEE Access (2020) Vol. 8, pp. 68580-68592
Open Access | Times Cited: 47

An optimized deep learning approach for suicide detection through Arabic tweets
Nadiah A. Baghdadi, Amer Malki, Hossam Magdy Balaha, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1070-e1070
Open Access | Times Cited: 26

Aspect Based Sentiment Analysis of Ridesharing Platform Reviews for Kansei Engineering
Saqib Ali, Guojun Wang, Shazia Riaz
IEEE Access (2020) Vol. 8, pp. 173186-173196
Open Access | Times Cited: 37

Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics
G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Md. Amjad Hossain, et al.
Healthcare (2021) Vol. 9, Iss. 9, pp. 1110-1110
Open Access | Times Cited: 30

A joint-training topic model for social media texts
Simeng Qin, Mingli Zhang, Haiju Hu, et al.
Humanities and Social Sciences Communications (2025) Vol. 12, Iss. 1
Open Access

Building a dynamic opinion dashboard to categorize tweets for real-time sentiment analysis
Temitope Adekoya-Cole, Sandra Fernando, Abhilash Maroju, et al.
International Journal of Information Technology (2025)
Closed Access

Quantum neural networks for multimodal sentiment, emotion, and sarcasm analysis
Jaiteg Singh, Kamalpreet Singh Bhangu, Abdulrhman Alkhanifer, et al.
Alexandria Engineering Journal (2025) Vol. 124, pp. 170-187
Closed Access

A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis
Yaochen Liu, Yazhou Zhang, Dawei Song
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 1, pp. 326-341
Open Access | Times Cited: 9

Sentiment analysis of social media data based on chaotic coyote optimization algorithm based time weight‐AdaBoost support vector machine approach
Dharmendra Dangi, Amit Bhagat, Dheeraj Kumar Dixit
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 3
Closed Access | Times Cited: 19

Impact of education, age and gender on investor's sentiment: A survey of practitioners
Manuel González-Igual, Teresa Corzo Santamaría, Antonio Rúa Vieites
Heliyon (2021) Vol. 7, Iss. 3, pp. e06495-e06495
Open Access | Times Cited: 18

Sentiment Analysis of Review Data Using Blockchain and LSTM to Improve Regulation for a Sustainable Market
Zhihua Zhao, Zhihao Hao, Guancheng Wang, et al.
Journal of theoretical and applied electronic commerce research (2021) Vol. 17, Iss. 1, pp. 1-19
Open Access | Times Cited: 18

AB-GRU: An attention-based bidirectional GRU model for multimodal sentiment fusion and analysis
Jun Wu, Xinli Zheng, Jiangpeng Wang, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 10, pp. 18523-18544
Open Access | Times Cited: 7

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