Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 neural networks and weighted word embeddings for sentiment analysis of drug product reviews
Derwin Suhartono, Kartika Purwandari, Nicholaus Hendrik Jeremy, et al.
Procedia Computer Science (2023) Vol. 216, pp. 664-671
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Artificial Intelligence in Predicting Mechanical Properties of Composite Materials
Fasikaw Kibrete, Tomasz Trzepieciński, Hailu Shimels Gebremedhen, et al.
Journal of Composites Science (2023) Vol. 7, Iss. 9, pp. 364-364
Open Access | Times Cited: 71
Analyzing Amazon Products Sentiment: A Comparative Study of Machine and Deep Learning, and Transformer-Based Techniques
H. Karamath Ali, Ehtesham Hashmi, Sule Yildirim Yayilgan, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1305-1305
Open Access | Times Cited: 16
A heterogeneous network embedded medicine recommendation system based on LSTM
Imran Ahmed, Misbah Ahmad, Abdellah Chehri, et al.
Future Generation Computer Systems (2023) Vol. 149, pp. 1-11
Open Access | Times Cited: 23
A robust hybrid approach with product context-aware learning and explainable AI for sentiment analysis in Amazon user reviews
Ehtesham Hashmi, Sule Yildirim Yayilgan
Electronic Commerce Research (2024)
Open Access | Times Cited: 7
Sentiment analysis applications using deep learning advancements in social networks: A systematic review
Erfan Bakhtiari Ramezani
Neurocomputing (2025), pp. 129862-129862
Closed Access
Film Recommendation System Using Content-Based Filtering and the Convolutional Neural Network (CNN) Classification Methods
Arliyanna Nilla, Erwin Budi Setiawan
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (2024) Vol. 10, Iss. 1, pp. 17-17
Open Access | Times Cited: 3
KNetwork: advancing cross-lingual sentiment analysis for enhanced decision-making in linguistically diverse environments
Ankush Jain, Garima Jain, Dhruv Tewari
Knowledge and Information Systems (2024) Vol. 66, Iss. 5, pp. 2925-2943
Closed Access | Times Cited: 2
A Comprehensive Review of Sentiment Analysis: Techniques, Datasets, Limitations, and Future Scope
Vanshika, Neetu Rani, Ranjan Walia
(2024), pp. 403-409
Closed Access | Times Cited: 2
LSTM and Bi-LSTM Models For Identifying Natural Disasters Reports From Social Media
Rahmi Yunida, Mohammad Reza Faisal, Muliadi Muliadi, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 4
Optimized Support Vector Machine with Particle Swarm Optimization to Improve the Accuracy Amazon Sentiment Analysis Classification
Maylinna Rahayu Ningsih, Jumanto Jumanto, Dwika Ananda Agustina Pertiwi, et al.
Kinetik Game Technology Information System Computer Network Computing Electronics and Control (2024), pp. 101-108
Open Access | Times Cited: 1
IDEAL: an inventive optimized deep ensemble augmented learning framework for opinion mining and sentiment analysis
Aditya Mudigonda, Yalavarthi Usha Devi, P. Satyanarayana, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 1
Sentiment analysis technique on product reviews using Inception Recurrent Convolutional Neural Network with ResNet Transfer Learning
Narahari Ajmeera, P. Kamakshi
Smart Science (2024) Vol. 12, Iss. 4, pp. 654-665
Closed Access | Times Cited: 1
An experimental study of sentiment classification using deep-based models with various word embedding techniques
Sajad Rezaei, Jafar Tanha, SeyedEhsan Roshan, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2024), pp. 1-37
Closed Access | Times Cited: 1
A Multi-Level Embedding Framework for Decoding Sarcasm Using Context, Emotion, and Sentiment Feature
Maryam Khanian Najafabadi, Teddy Ko, Saman Shojae Chaeikar, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4429-4429
Open Access | Times Cited: 1
Artificial Intelligence and Machine Learning for Material Characterizations and Mechanical Properties
Nura Brimo, Dilek Çökeli̇ler Serdaroğlu, Halit Muhittin
(2024), pp. 55-72
Closed Access | Times Cited: 1
Novel Method for Sentiment Analysis in Social Media Data Using Hybrid Deep Learning Model
Harika Vanam, Jeberson Retna Raj
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 32, Iss. 1, pp. 272-289
Open Access | Times Cited: 3
Assessment of Parent–Child Interaction Quality from Dyadic Dialogue
Chaohao Lin, Ou Bai, Jennifer Piscitello, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11129-11129
Open Access | Times Cited: 3
Object-Assisted Question Featurization and Multi-CNN Image Feature Fusion for Visual Question Answering
Sruthy Manmadhan, Binsu C. Kovoor
International Journal of Intelligent Information Technologies (2023) Vol. 19, Iss. 1, pp. 1-19
Open Access | Times Cited: 2
Analyzing Customer Sentiment in Drug Reviews Using Natural Language Processing
Hasan Faraz Khan, Noor Fatima
(2023), pp. 1-5
Closed Access | Times Cited: 2
Data preprocessing approach for machine learning-based sentiment classification
Sunneng Sandino Berutu, Haeni Budiati, Jatmika Jatmika, et al.
JURNAL INFOTEL (2023) Vol. 15, Iss. 4, pp. 317-325
Open Access | Times Cited: 2
WITHDRAWN: ChatGptTweets Analyses Based On AI
Aya M. Al-Zoghby Author, Ahmed Ismail Ebada Author, Nora Yehia Author, et al.
Research Square (Research Square) (2024)
Closed Access
Applying Deep Neural Networks and NLP Techniques for Sentiment Analysis in Social Media Data
B M Brinda, C. Rajan, K. Geetha, et al.
(2024), pp. 1-9
Closed Access
Enhancing Arabic Sentiment Analysis Using AraBERT and Deep Learning Models
Abderrahim Ouza, Ali Ouacha, A. Rachidi, et al.
Studies in computational intelligence (2024), pp. 189-200
Closed Access
Sentiment analysis deep learning model based on a novel hybrid embedding method
Chafika Ouni, Emna Benmohamed, Hela Ltifi
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access
Multi-Label Classification using BERT for Cyberbullying Detection
Fidya Farasalsabila, Ema Utami, Suwanto Raharjo
(2024), pp. 195-200
Closed Access
Page 1 - Next Page

Scroll to top