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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:

Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm
Usman Naseem, Imran Razzak, Peter Eklund, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-7
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis
Usman Naseem, Imran Razzak, Matloob Khushi, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 4, pp. 1003-1015
Open Access | Times Cited: 289
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis
Usman Naseem, Imran Razzak, Katarzyna Musiał, et al.
Future Generation Computer Systems (2020) Vol. 113, pp. 58-69
Closed Access | Times Cited: 235
A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models
Usman Naseem, Imran Razzak, Shah Khalid Khan, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2021) Vol. 20, Iss. 5, pp. 1-35
Open Access | Times Cited: 131
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter
Usman Naseem, Imran Razzak, Peter Eklund
Multimedia Tools and Applications (2020) Vol. 80, Iss. 28-29, pp. 35239-35266
Closed Access | Times Cited: 97
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification
Usman Naseem, Adam G. Dunn, Jinman Kim, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2563-2572
Closed Access | Times Cited: 45
Mitigating healthcare supply chain challenges under disaster conditions: a holistic AI-based analysis of social media data
Vishwa V. Kumar, Avimanyu Sahoo, Siva K. Balasubramanian, et al.
International Journal of Production Research (2024), pp. 1-19
Closed Access | Times Cited: 13
A Comparative Analysis of Active Learning for Biomedical Text Mining
Usman Naseem, Matloob Khushi, Shah Khalid Khan, et al.
Applied System Innovation (2021) Vol. 4, Iss. 1, pp. 23-23
Open Access | Times Cited: 51
Explainable hybrid word representations for sentiment analysis of financial news
Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, et al.
Neural Networks (2023) Vol. 164, pp. 115-123
Closed Access | Times Cited: 19
Product feature sentiment analysis based on GRU-CAP considering Chinese sarcasm recognition
Zeng Wang, Shijie Hu, Weidong Liu
Expert Systems with Applications (2023) Vol. 241, pp. 122512-122512
Closed Access | Times Cited: 13
Opioid death projections with AI-based forecasts using social media language
Matthew Matero, Salvatore Giorgi, Brenda Curtis, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
Improving Sentiment Prediction of Textual Tweets Using Feature Fusion and Deep Machine Ensemble Model
Hamza Ahmad Madni, Muhammad Umer, Nihal Abuzinadah, et al.
Electronics (2023) Vol. 12, Iss. 6, pp. 1302-1302
Open Access | Times Cited: 10
Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media
Deborah Olaniyan, Roseline Oluwaseun Ogundokun, Olorunfemi Paul Bernard, et al.
Computers (2023) Vol. 12, Iss. 11, pp. 231-231
Open Access | Times Cited: 10
Intersectional Bias in Causal Language Models
Liam Magee, Lida Ghahremanlou, Karen Soldatić, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10
Airlines based Twitter Sentiment Analysis Using Deep Learning
Meenu Gupta, Rakesh Kumar, Harshit Walia, et al.
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2021), pp. 1-6
Closed Access | Times Cited: 10
Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss
Usman Naseem, Matloob Khushi, Shah Khalid Khan, et al.
Lecture notes in computer science (2020), pp. 26-37
Closed Access | Times Cited: 10
Comprehensive Study of Arabic Satirical Article Classification
Fatmah Yousef Assiri, Hanen Himdi
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10616-10616
Open Access | Times Cited: 3
“When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity
Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.
(2023), pp. 334-351
Open Access | Times Cited: 2
Ensemble-based domain adaptation on social media posts for irony detection
Anita Saroj, Sukomal Pal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23249-23268
Closed Access | Times Cited: 2
ASAnalyzer: Attention based Sentiment analyzer for Real-world Sentiment Analysis
Khadim Hussain, Muhammad Tehseen Azhar, Bumshik Lee, et al.
(2023)
Closed Access | Times Cited: 2
Detection of Cyberbullying Through BERT and Weighted Ensemble of Classifiers
Christopher Graney-Ward, Biju Issac, Lida Ketsbaia, et al.
(2022)
Open Access | Times Cited: 3
Augmented BERT for Online Sarcasm Detection
Hieu Minh Nguyen, Swapna S. Gokhale
(2023), pp. 1-6
Closed Access | Times Cited: 1
Detection of Cyberbullying Through BERT and Weighted Ensemble of Classifiers
Christopher Graney-Ward, Biju Issac, Lida Ketsbaia, et al.
(2022)
Open Access | Times Cited: 2
A Large-Scale Analysis of COVID-19 Twitter Dataset in a New Phase of the Pandemic
Rui Guo, Kewei Xu
(2022), pp. 276-281
Closed Access | Times Cited: 2
Contextualized Embedding based Approaches for Social Media-specific Sentiment Analysis
Harsh Sakhrani, Saloni Parekh, Pratik Ratadiya
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 186-193
Closed Access | Times Cited: 2
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models
Usman Naseem, Imran Razzak, Shah Khalid Khan, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
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