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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-based sentiment classification of evaluative text based on Multi-feature fusion
Asad Abdi, Siti Mariyam Shamsuddin, Shafaatunnur Hasan, et al.
Information Processing & Management (2019) Vol. 56, Iss. 4, pp. 1245-1259
Closed Access | Times Cited: 240

Showing 1-25 of 240 citing articles:

Sentiment analysis using deep learning architectures: a review
Ashima Yadav, Dinesh Kumar Vishwakarma
Artificial Intelligence Review (2019) Vol. 53, Iss. 6, pp. 4335-4385
Closed Access | Times Cited: 649
A review on sentiment analysis and emotion detection from text
Pansy Nandwani, Rupali Verma
Social Network Analysis and Mining (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 495
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
Sentiment Classification Using a Single-Layered BiLSTM Model
Zabit Hameed, Begonya García-Zapirain
IEEE Access (2020) Vol. 8, pp. 73992-74001
Open Access | Times Cited: 188
Image-Text Multimodal Emotion Classification via Multi-View Attentional Network
Xiaocui Yang, Shi Feng, Daling Wang, et al.
IEEE Transactions on Multimedia (2020) Vol. 23, pp. 4014-4026
Closed Access | Times Cited: 159
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs
Zenun Kastrati, Ali Shariq Imran, Arianit Kurti
IEEE Access (2020) Vol. 8, pp. 106799-106810
Open Access | Times Cited: 143
A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables
Jie Wang, Pengxin Wang, Huiren Tian, et al.
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107705-107705
Open Access | Times Cited: 50
An effective ensemble deep learning framework for text classification
Ammar Mohammed, Rania Kora
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 10, pp. 8825-8837
Open Access | Times Cited: 101
A deep learning analysis on question classification task using Word2vec representations
Şeyhmus Yılmaz, Sinan Toklu
Neural Computing and Applications (2020) Vol. 32, Iss. 7, pp. 2909-2928
Closed Access | Times Cited: 92
Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics
Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline
Information Processing & Management (2019) Vol. 57, Iss. 1, pp. 102122-102122
Closed Access | Times Cited: 86
Sentiment Analysis of Danmaku Videos Based on Naïve Bayes and Sentiment Dictionary
Zhi Li, Rui Li, Jin Guanghao
IEEE Access (2020) Vol. 8, pp. 75073-75084
Open Access | Times Cited: 85
Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings
Eman Saeed Alamoudi, Norah Saleh Alghamdi
Journal of Decision System (2021) Vol. 30, Iss. 2-3, pp. 259-281
Closed Access | Times Cited: 79
Attention-Based CNN and Bi-LSTM Model Based on TF-IDF and GloVe Word Embedding for Sentiment Analysis
Marjan Kamyab, Guohua Liu, Michael Adjeisah
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11255-11255
Open Access | Times Cited: 77
What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons
Wang Lei, Zhong-Lin Fu, Wei Guo, et al.
Energy Policy (2020) Vol. 142, pp. 111484-111484
Closed Access | Times Cited: 76
Automatic question generation and answer assessment: a survey
Bidyut Das, Mukta Majumder, Santanu Phadikar, et al.
Research and Practice in Technology Enhanced Learning (2021) Vol. 16, Iss. 1
Open Access | Times Cited: 70
Aspect-Based Sentiment Analysis Using a Hybridized Approach Based on CNN and GA
Adnan Ishaq, Sohail Asghar, Saira Gillani
IEEE Access (2020) Vol. 8, pp. 135499-135512
Open Access | Times Cited: 69
Scalable multi-channel dilated CNN–BiLSTM model with attention mechanism for Chinese textual sentiment analysis
Chenquan Gan, Qingdong Feng, Zufan Zhang
Future Generation Computer Systems (2021) Vol. 118, pp. 297-309
Closed Access | Times Cited: 69
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: 53
Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning
Yik Yang Tan, Chee‐Onn Chow, Jeevan Kanesan, et al.
Wireless Personal Communications (2023) Vol. 129, Iss. 3, pp. 2213-2237
Open Access | Times Cited: 37
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: 35
TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis
Changqin Huang, Junling Zhang, Xuemei Wu, et al.
Knowledge-Based Systems (2023) Vol. 269, pp. 110502-110502
Closed Access | Times Cited: 35
A deep learning-based sentiment analysis approach (MF-CNN-BILSTM) and topic modeling of tweets related to the Ukraine–Russia conflict
Serpil Aslan
Applied Soft Computing (2023) Vol. 143, pp. 110404-110404
Closed Access | Times Cited: 35
Automatic video captioning using tree hierarchical deep convolutional neural network and ASRNN-bi-directional LSTM
N. Kavitha, K. Ruba Soundar, R. Karthick, et al.
Computing (2024)
Closed Access | Times Cited: 11
Do topic and sentiment matter? Predictive power of online reviews for hotel demand forecasting
Doris Chenguang Wu, Shiteng Zhong, Haiyan Song, et al.
International Journal of Hospitality Management (2024) Vol. 120, pp. 103750-103750
Closed Access | Times Cited: 9
Efficient feature selection techniques for sentiment analysis
Avinash Madasu, E. Sivasankar
Multimedia Tools and Applications (2019) Vol. 79, Iss. 9-10, pp. 6313-6335
Closed Access | Times Cited: 57
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