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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 for sentiment analysis: A survey
Lei Zhang, Shuai Wang, Bing Liu
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2018) Vol. 8, Iss. 4
Open Access | Times Cited: 1615

Showing 1-25 of 1615 citing articles:

A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Marouane Birjali, Mohammed Kasri, Abderrahim Beni‐Hssane
Knowledge-Based Systems (2021) Vol. 226, pp. 107134-107134
Closed Access | Times Cited: 633
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, et al.
Future Generation Computer Systems (2020) Vol. 115, pp. 279-294
Closed Access | Times Cited: 610
A Review of Machine Learning and Deep Learning Applications
Pramila Shinde, Seema Shah
(2018), pp. 1-6
Closed Access | Times Cited: 534
Sentiment Analysis Based on Deep Learning: A Comparative Study
Cach N. Dang, Marı́a N. Moreno Garcı́a, Fernando De la Prieta
Electronics (2020) Vol. 9, Iss. 3, pp. 483-483
Open Access | Times Cited: 522
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
Hai Duong Ha, PWC Prasad, Angelika Maag, et al.
Expert Systems with Applications (2018) Vol. 118, pp. 272-299
Closed Access | Times Cited: 514
Sentiment Analysis and Opinion Mining
Lei Zhang, Bing Liu
Springer eBooks (2023), pp. 1-13
Closed Access | Times Cited: 510
Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning
Li Yang, Ying Li, Jin Wang, et al.
IEEE Access (2020) Vol. 8, pp. 23522-23530
Open Access | Times Cited: 432
FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna, Sadiq M. Sait, Aiman H. El‐Maleh
IEEE Access (2018) Vol. 7, pp. 7823-7859
Open Access | Times Cited: 406
Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks
Aytuǧ Onan
Concurrency and Computation Practice and Experience (2020) Vol. 33, Iss. 23
Closed Access | Times Cited: 359
Target-Dependent Sentiment Classification With BERT
Zhengjie Gao, Ao Feng, Xinyu Song, et al.
IEEE Access (2019) Vol. 7, pp. 154290-154299
Open Access | Times Cited: 357
A Brief Review of Domain Adaptation
Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed, et al.
Transactions on computational science and computational intelligence (2021), pp. 877-894
Closed Access | Times Cited: 340
Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism
Beakcheol Jang, Myeonghwi Kim, Gaspard Harerimana, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5841-5841
Open Access | Times Cited: 317
Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach
Aytuǧ Onan
Computer Applications in Engineering Education (2020) Vol. 29, Iss. 3, pp. 572-589
Closed Access | Times Cited: 310
A Term Weighted Neural Language Model and Stacked Bidirectional LSTM Based Framework for Sarcasm Identification
Aytuǧ Onan, Mansur Alp Toçoğlu
IEEE Access (2021) Vol. 9, pp. 7701-7722
Open Access | Times Cited: 303
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets
Ali Shariq Imran, Sher Muhammad Daudpota, Zenun Kastrati, et al.
IEEE Access (2020) Vol. 8, pp. 181074-181090
Open Access | Times Cited: 296
Machine Learning and Deep Learning Applications-A Vision
Neha Sharma, Reecha Sharma, Neeru Jindal
Global Transitions Proceedings (2021) Vol. 2, Iss. 1, pp. 24-28
Open Access | Times Cited: 280
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
Furqan Rustam, Madiha Khalid, Waqar Aslam, et al.
PLoS ONE (2021) Vol. 16, Iss. 2, pp. e0245909-e0245909
Open Access | Times Cited: 274
Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review
Jireh Yi-Le Chan, Steven Mun Hong Leow, Khean Thye Bea, et al.
Mathematics (2022) Vol. 10, Iss. 8, pp. 1283-1283
Open Access | Times Cited: 266
Mining opinions from instructor evaluation reviews: A deep learning approach
Aytuǧ Onan
Computer Applications in Engineering Education (2019) Vol. 28, Iss. 1, pp. 117-138
Closed Access | Times Cited: 249
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
Wenxuan Zhang, Xin Li, Yang Deng, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 11, pp. 11019-11038
Open Access | Times Cited: 243
A CNN-BiLSTM Model for Document-Level Sentiment Analysis
Maryem Rhanoui, Mounia Mikram, Siham Yousfi, et al.
Machine Learning and Knowledge Extraction (2019) Vol. 1, Iss. 3, pp. 832-847
Open Access | Times Cited: 231
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 32, Iss. 3, pp. 588-601
Open Access | Times Cited: 230
Sentiment Analysis
Bing Liu
(2020)
Closed Access | Times Cited: 227
Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey
Ambreen Nazir, Yuan Rao, Lianwei Wu, et al.
IEEE Transactions on Affective Computing (2020) Vol. 13, Iss. 2, pp. 845-863
Closed Access | Times Cited: 224
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: 223
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