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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:

Deep learning CNN–LSTM framework for Arabic sentiment analysis using textual information shared in social networks
Abubakr H. Ombabi, Wael Ouarda, Adel M. Alimi
Social Network Analysis and Mining (2020) Vol. 10, Iss. 1
Closed Access | Times Cited: 161

Showing 1-25 of 161 citing articles:

Systematic reviews in sentiment analysis: a tertiary study
Alexander Ligthart, Cagatay Catal, Bedir Teki̇nerdoğan
Artificial Intelligence Review (2021) Vol. 54, Iss. 7, pp. 4997-5053
Open Access | Times Cited: 227
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
Nusrat Jahan Prottasha, Abdullah As Sami, Md. Kowsher, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4157-4157
Open Access | Times Cited: 130
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: 98
Multi-class sentiment analysis of urdu text using multilingual BERT
Lal Khan, Ammar Amjad, Noman Ashraf, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 78
Arabic Tweets-Based Sentiment Analysis to Investigate the Impact of COVID-19 in KSA: A Deep Learning Approach
Arwa Alqarni, Atta Rahman
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 16-16
Open Access | Times Cited: 56
An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian
Marco Pota, Mirko Ventura, Rosario Catelli, et al.
Sensors (2020) Vol. 21, Iss. 1, pp. 133-133
Open Access | Times Cited: 117
Hybrid Deep Learning Models for Sentiment Analysis
Cach N. Dang, Marı́a N. Moreno Garcı́a, Fernando De la Prieta
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 100
Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks
Alireza Ghorbanali, Mohammad Karim Sohrabi, Farzin Yaghmaee
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102929-102929
Closed Access | Times Cited: 69
Progress of IoT Research Technologies and Applications Serving Hajj and Umrah
Mohd Khaled Yousef Shambour, Adnan Gutub
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 2, pp. 1253-1273
Open Access | Times Cited: 65
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction
Sujan Ghimire, Thong Nguyen‐Huy, Ramendra Prasad, et al.
Cognitive Computation (2022) Vol. 15, Iss. 2, pp. 645-671
Closed Access | Times Cited: 47
TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm
Serpil Aslan, Soner Kızıloluk, Eser Sert
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10311-10328
Open Access | Times Cited: 36
A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges
Khaled Bayoudh
Information Fusion (2023) Vol. 105, pp. 102217-102217
Closed Access | Times Cited: 32
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
Arabic Sentiment Analysis of YouTube Comments: NLP-Based Machine Learning Approaches for Content Evaluation
Dhiaa Musleh, Ibrahim Alkhwaja, Ali Alkhwaja, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 127-127
Open Access | Times Cited: 23
Enhancing Arabic aspect-based sentiment analysis using deep learning models
Saja Al-Dabet, Sara Tedmori, Mohammad AL-Smadi
Computer Speech & Language (2021) Vol. 69, pp. 101224-101224
Closed Access | Times Cited: 53
Topic Modeling and Sentiment Analysis of Online Education in the COVID-19 Era Using Social Networks Based Datasets
Samer Abdulateef Waheeb, Naseer Ahmed Khan, Xuequn Shang
Electronics (2022) Vol. 11, Iss. 5, pp. 715-715
Open Access | Times Cited: 36
Arabic Language Opinion Mining Based on Long Short-Term Memory (LSTM)
Arief Setyanto, Arif Dwi Laksito, Fawaz Khaled Alarfaj, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4140-4140
Open Access | Times Cited: 34
Aspect-based sentiment analysis: an overview in the use of Arabic language
Rajae Bensoltane, Taher Zaki
Artificial Intelligence Review (2022) Vol. 56, Iss. 3, pp. 2325-2363
Closed Access | Times Cited: 29
Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning
Nasrin Elhassan, Giuseppe Varone, Rami Ahmed, et al.
Computers (2023) Vol. 12, Iss. 6, pp. 126-126
Open Access | Times Cited: 22
Aspect-Based Sentiment Analysis of Customer Speech Data Using Deep Convolutional Neural Network and BiLSTM
Sivakumar Murugaiyan, U. Srinivasulu Reddy
Cognitive Computation (2023) Vol. 15, Iss. 3, pp. 914-931
Closed Access | Times Cited: 19
An Efficient Deep Learning for Thai Sentiment Analysis
Nattawat Khamphakdee, Pusadee Seresangtakul
Data (2023) Vol. 8, Iss. 5, pp. 90-90
Open Access | Times Cited: 18
Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions
Sameh M. Sherif, A. H. Alamoodi, O. S. Albahri, et al.
Information Processing & Management (2023) Vol. 60, Iss. 5, pp. 103449-103449
Closed Access | Times Cited: 18
A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis
Alireza Ghorbanali, Mohammad Karim Sohrabi
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1479-1512
Closed Access | Times Cited: 17
Quranic Optical Text Recognition Using Deep Learning Models
Masnizah Mohd, Faizan Qamar, Idris Al-Sheikh, et al.
IEEE Access (2021) Vol. 9, pp. 38318-38330
Open Access | Times Cited: 38
Combination of GRU and CNN Deep Learning Models for Sentiment Analysis on French Customer Reviews Using XLNet Model
Nassera Habbat, Houda Anoun, Larbi Hassouni
IEEE Engineering Management Review (2022) Vol. 51, Iss. 1, pp. 41-51
Closed Access | Times Cited: 26
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