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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 in textual, visual and multimodal inputs using recurrent neural networks
Jitendra V. Tembhurne, Tausif Diwan
Multimedia Tools and Applications (2020) Vol. 80, Iss. 5, pp. 6871-6910
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Survey on sentiment analysis: evolution of research methods and topics
Jingfeng Cui, Zhaoxia Wang, Seng-Beng Ho, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 8, pp. 8469-8510
Open Access | Times Cited: 99
Sentiment analysis: A survey on design framework, applications and future scopes
Monali Bordoloi, Saroj Kr. Biswas
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12505-12560
Open Access | Times Cited: 83
Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 6
Transfer Learning for Facial Expression Recognition
Rajesh Kumar, Giacomo Corvisieri, Tullio Flavio Fici, et al.
Information (2025) Vol. 16, Iss. 4, pp. 320-320
Open Access | Times Cited: 2
Multimodal negative sentiment recognition of online public opinion on public health emergencies based on graph convolutional networks and ensemble learning
Ziming Zeng, Shouqiang Sun, Qingqing Li
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103378-103378
Closed Access | Times Cited: 21
Emotions Matter: A Systematic Review and Meta-Analysis of the Detection and Classification of Students’ Emotions in STEM during Online Learning
Aamir Anwar, Ikram Ur Rehman, Moustafa M. Nasralla, et al.
Education Sciences (2023) Vol. 13, Iss. 9, pp. 914-914
Open Access | Times Cited: 18
A multimodal fusion method for sarcasm detection based on late fusion
Ning Ding, Shengwei Tian, Long Yu
Multimedia Tools and Applications (2022) Vol. 81, Iss. 6, pp. 8597-8616
Closed Access | Times Cited: 27
Systematic review of content analysis algorithms based on deep neural networks
Jalal Rezaeenour, Mahnaz Ahmadi, Hamed Jelodar, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 17879-17903
Open Access | Times Cited: 25
Research on the Multimodal Digital Teaching Quality Data Evaluation Model Based on Fuzzy BP Neural Network
Feng Wen-yan, Fan Feng
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 24
A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs
Ashish Kumar, Nishant Kumar, Jeril Kuriakose, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3867-3889
Closed Access | Times Cited: 16
An efficient multimodal sentiment analysis in social media using hybrid optimal multi-scale residual attention network
S. Bairavel, M. Kanipriya, S. Prabakeran, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 5
Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis
Xieling Chen, Haoran Xie, S. Joe Qin, et al.
Cognitive Computation (2024) Vol. 16, Iss. 6, pp. 3518-3556
Open Access | Times Cited: 5
Exploiting bi-directional deep neural networks for multi-domain sentiment analysis using capsule network
Alireza Ghorbanali, Mohammad Karim Sohrabi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 15, pp. 22943-22960
Closed Access | Times Cited: 11
Multi Granularity Sentiment Analysis and Learning Outcome Prediction for Chinese Educational Texts Based on Transformer Architecture
Xinyue Gao, Quanrong Fang
Research Square (Research Square) (2025)
Open Access
AI-Driven Phishing: Techniques, Threats, and Defence Strategies
Liza Shrestha, Hamed Balogun, Suleman Khan
Advanced sciences and technologies for security applications (2025), pp. 121-143
Closed Access
PREDICTING BANKING STOCK PRICES USING RNN, LSTM, AND GRU APPROACH
Dias Satria
Applied Computer Science (2023) Vol. 19, Iss. 1, pp. 82-94
Open Access | Times Cited: 9
Moving From Narrative to Interactive Multi-Modal Sentiment Analysis: A Survey
Junxia Ma, Lu Rong, Yazhou Zhang, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2023)
Open Access | Times Cited: 9
Sentiment analysis from textual data using multiple channels deep learning models
Adepu Rajesh, Tryambak Hiwarkar
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 9
Low-rank tensor fusion and self-supervised multi-task multimodal sentiment analysis
Xinmeng Miao, Xuguang Zhang, Haoran Zhang
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63291-63308
Closed Access | Times Cited: 3
Children’s Sentiment Analysis From Texts by Using Weight Updated Tuned With Random Forest Classification
Azhar Ahmed Bilal, O. Ayhan Erdem, Sinan Toklu
IEEE Access (2024) Vol. 12, pp. 70089-70104
Open Access | Times Cited: 3
Effective deep learning based multimodal sentiment analysis from unstructured big data
Swasthika Jain, I. Jeena Jacob, Ajay Kumar Mandava
Expert Systems (2022) Vol. 40, Iss. 1
Closed Access | Times Cited: 12
A robust solution for recognizing accurate handwritten text extraction using quantum convolutional neural network and transformer models
C Aparna, K. Rajchandar
Computers & Electrical Engineering (2024) Vol. 120, pp. 109794-109794
Closed Access | Times Cited: 2
Exploring the effectiveness of word embedding based deep learning model for improving email classification
Deepak Suresh Asudani, Naresh Kumar Nagwani, Pradeep Singh
Data Technologies and Applications (2022) Vol. 56, Iss. 4, pp. 483-505
Closed Access | Times Cited: 11
Attention fusion network for multimodal sentiment analysis
Yuanyi Luo, Rui Wu, Jiafeng Liu, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 3, pp. 8207-8217
Closed Access | Times Cited: 5
The application of graphic language personalized emotion in graphic design
Zhenzhen Pan, Hong Pan, Junzhan Zhang
Heliyon (2024) Vol. 10, Iss. 9, pp. e30180-e30180
Open Access | Times Cited: 1
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