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 of Persian Movie Reviews Using Deep Learning
Kia Dashtipour, Mandar Gogate, Ahsan Adeel, et al.
Entropy (2021) Vol. 23, Iss. 5, pp. 596-596
Open Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

A systematic review of social media-based sentiment analysis: Emerging trends and challenges
Qianwen Xu, Victor Chang, Chrisina Jayne
Decision Analytics Journal (2022) Vol. 3, pp. 100073-100073
Open Access | Times Cited: 103

Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network
James Mutinda, Waweru Mwangi, George Okeyo
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1445-1445
Open Access | Times Cited: 78

Movie recommendation and sentiment analysis using machine learning
N Pavitha, Vithika Pungliya, Ankur Raut, et al.
Global Transitions Proceedings (2022) Vol. 3, Iss. 1, pp. 279-284
Open Access | Times Cited: 65

MBiLSTMGloVe: Embedding GloVe knowledge into the corpus using multi-layer BiLSTM deep learning model for social media sentiment analysis
Amit Pimpalkar, Jeberson Retna Raj R
Expert Systems with Applications (2022) Vol. 203, pp. 117581-117581
Closed Access | Times Cited: 56

Visual Sentiment Analysis Using Deep Learning Models with Social Media Data
Ganesh Chandrasekaran, Naaji Antoanela, Gabor Andrei, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1030-1030
Open Access | Times Cited: 48

Sentiment analysis on images using different transfer learning models
Gaurav Meena, Krishna Kumar Mohbey
Procedia Computer Science (2023) Vol. 218, pp. 1640-1649
Open Access | Times Cited: 22

Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique
Anirban Adak, Biswajeet Pradhan, Nagesh Shukla, et al.
Foods (2022) Vol. 11, Iss. 14, pp. 2019-2019
Open 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: 20

DenseHillNet: a lightweight CNN for accurate classification of natural images
Sheikh Muhammad Saqib, Muhammad Zubair Asghar, Muhammad Iqbal, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1995-e1995
Open Access | Times Cited: 6

Arabic Aspect Extraction Based on Stacked Contextualized Embedding With Deep Learning
Arwa Saif Fadel, Mostafa Elsayed Saleh, Osama Ahmed Abulnaja
IEEE Access (2022) Vol. 10, pp. 30526-30535
Open Access | Times Cited: 22

Novel Ensemble Algorithm for Multiple Activity Recognition in Elderly People Exploiting Ubiquitous Sensing Devices
Sidrah Liaqat, Kia Dashtipour, Syed Aziz Shah, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 16, pp. 18214-18221
Open Access | Times Cited: 24

Extending persian sentiment lexicon with idiomatic expressions for sentiment analysis
Kia Dashtipour, Mandar Gogate, Alexander Gelbukh, et al.
Social Network Analysis and Mining (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 23

Detecting Alzheimer’s Disease Using Machine Learning Methods
Kia Dashtipour, William Taylor, Shuja Ansari, et al.
Springer eBooks (2022), pp. 89-100
Closed Access | Times Cited: 17

Text Sentiment Analysis Based on a New Hybrid Network Model
Yancong Zhou, Qian Zhang, Dongdong Wang, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 16

Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems
Swathi Angamuthu, Pavel Trojovský
PeerJ Computer Science (2023) Vol. 9, pp. e1497-e1497
Open Access | Times Cited: 10

HOMOCHAR: A novel adversarial attack framework for exposing the vulnerability of text based neural sentiment classifiers
Ashish Bajaj, Dinesh Kumar Vishwakarma
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106815-106815
Closed Access | Times Cited: 9

Natural language inference model for customer advocacy detection in online customer engagement
Bilal Abu-Salih, Mohammed Alweshah, Moutaz Alazab, et al.
Machine Learning (2023) Vol. 113, Iss. 4, pp. 2249-2275
Open Access | Times Cited: 9

An Improved Residual Network for Pork Freshness Detection Using Near-Infrared Spectroscopy
Liang Zou, Weinan Liu, Meng Lei, et al.
Entropy (2021) Vol. 23, Iss. 10, pp. 1293-1293
Open Access | Times Cited: 22

Roman Urdu Sentiment Analysis Using Transfer Learning
Dun Li, Kanwal Ahmed, Zhiyun Zheng, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10344-10344
Open Access | Times Cited: 15

Sentiment Analysis and Topic Mining Using a Novel Deep Attention-Based Parallel Dual-Channel Model for Online Course Reviews
Chun Yan, Jiahui Liu, Wei Liu, et al.
Cognitive Computation (2022) Vol. 15, Iss. 1, pp. 304-322
Closed Access | Times Cited: 12

Emotion Detection in Text: Advances in Sentiment Analysis Using Deep Learning
Walaa Saber Ismail
Journal of Wireless Mobile Networks Ubiquitous Computing and Dependable Applications (2024) Vol. 15, Iss. 1, pp. 17-26
Open Access | Times Cited: 2

CNN and LSTM based hybrid deep learning model for sentiment analysis on Arabic text reviews
Shakeel Ahmad, Sheikh Muhammad Saqib, Asif Hassan
Mehran University Research Journal of Engineering and Technology (2024) Vol. 43, Iss. 2, pp. 183-183
Open Access | Times Cited: 2

What people think about fast food: opinions analysis and LDA modeling on fast food restaurants using unstructured tweets
Muhammad Mujahid, Furqan Rustam, Fahad Alasim, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1193-e1193
Open Access | Times Cited: 5

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