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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:

Tweets Classification on the Base of Sentiments for US Airline Companies
Furqan Rustam, Imran Ashraf, Arif Mehmood, et al.
Entropy (2019) Vol. 21, Iss. 11, pp. 1078-1078
Open Access | Times Cited: 170

Showing 1-25 of 170 citing articles:

COVID-19 Future Forecasting Using Supervised Machine Learning Models
Furqan Rustam, Aijaz Ahmad Reshi, Arif Mehmood, et al.
IEEE Access (2020) Vol. 8, pp. 101489-101499
Open Access | Times Cited: 492
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
Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19
Muhammad Mujahid, Ernesto Lee, Furqan Rustam, et al.
Applied Sciences (2021) Vol. 11, Iss. 18, pp. 8438-8438
Open Access | Times Cited: 193
Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model
Vaibhav Rupapara, Furqan Rustam, Hina Fatima Shahzad, et al.
IEEE Access (2021) Vol. 9, pp. 78621-78634
Open Access | Times Cited: 161
Transformer-based deep learning models for the sentiment analysis of social media data
Sayyida Tabinda Kokab, Sohail Asghar, Shehneela Naz
Array (2022) Vol. 14, pp. 100157-100157
Open Access | Times Cited: 99
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
Wajdi Aljedaani, Furqan Rustam, Mohamed Wiem Mkaouer, et al.
Knowledge-Based Systems (2022) Vol. 255, pp. 109780-109780
Closed Access | Times Cited: 87
Impact of convolutional neural network and FastText embedding on text classification
Muhammad Umer, Zainab Imtiaz, Muhammad Ahmad, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 4, pp. 5569-5585
Open Access | Times Cited: 80
Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model
Naila Aslam, Furqan Rustam, Ernesto Lee, et al.
IEEE Access (2022) Vol. 10, pp. 39313-39324
Open Access | Times Cited: 77
Hate speech detection on Twitter using transfer learning
Ali Raza, Umar Farooq, Umair Arshad, et al.
Computer Speech & Language (2022) Vol. 74, pp. 101365-101365
Closed Access | Times Cited: 68
Sentiment Analysis of Customer Feedback and Reviews for Airline Services using Language Representation Model
AKSH PATEL, Parita Oza, Smita Agrawal
Procedia Computer Science (2023) Vol. 218, pp. 2459-2467
Open Access | Times Cited: 49
Improving Healthcare Prediction of Diabetic Patients Using KNN Imputed Features and Tri-Ensemble Model
Khaled Alnowaiser
IEEE Access (2024) Vol. 12, pp. 16783-16793
Open Access | Times Cited: 15
Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD)
Anam Yousaf, Muhammad Umer, Saima Sadiq, et al.
IEEE Access (2020) Vol. 9, pp. 6286-6295
Open Access | Times Cited: 102
An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification
Deepak Kumar Jain, Prasanthi Boyapati, J. Venkatesh, et al.
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102758-102758
Closed Access | Times Cited: 78
GBSVM: Sentiment Classification from Unstructured Reviews Using Ensemble Classifier
Madiha Khalid, Imran Ashraf, Arif Mehmood, et al.
Applied Sciences (2020) Vol. 10, Iss. 8, pp. 2788-2788
Open Access | Times Cited: 76
Minimizing the Overlapping Degree to Improve Class-Imbalanced Learning Under Sparse Feature Selection: Application to Fraud Detection
Fatima El Barakaz, Omar Boutkhoum, El Moutaouakkil Abdelmajid, et al.
IEEE Access (2021) Vol. 9, pp. 28101-28110
Open Access | Times Cited: 75
Classification of Shopify App User Reviews Using Novel Multi Text Features
Furqan Rustam, Arif Mehmood, Muhammad Ahmad, et al.
IEEE Access (2020) Vol. 8, pp. 30234-30244
Open Access | Times Cited: 69
A Novel Deep Learning based Sentiment Analysis of Twitter Data for US Airline Service
Khan Md. Hasib, Md. Ahsan Habib, Nurul Akter Towhid, et al.
(2021), pp. 450-455
Closed Access | Times Cited: 63
Deepfake tweets classification using stacked Bi-LSTM and words embedding
Vaibhav Rupapara, Furqan Rustam, A. Amaar, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e745-e745
Open Access | Times Cited: 61
A Hybrid Feature Extraction Method for Nepali COVID-19-Related Tweets Classification
Tej Bahadur Shahi, Chiranjibi Sitaula, Nawaraj Paudel
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 61
A novel improved random forest for text classification using feature ranking and optimal number of trees
Nasir Jalal, Arif Mehmood, Gyu Sang Choi, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 6, pp. 2733-2742
Open Access | Times Cited: 55
Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model
Ernesto Lee, Furqan Rustam, Patrick Bernard Washington, et al.
IEEE Access (2022) Vol. 10, pp. 9717-9728
Open Access | Times Cited: 52
COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset
Aijaz Ahmad Reshi, Furqan Rustam, Wajdi Aljedaani, et al.
Healthcare (2022) Vol. 10, Iss. 3, pp. 411-411
Open Access | Times Cited: 41
Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches
Nabila Mohamad Sham, Azlinah Mohamed
Sustainability (2022) Vol. 14, Iss. 8, pp. 4723-4723
Open Access | Times Cited: 41
Detection of Fake Job Postings by Utilizing Machine Learning and Natural Language Processing Approaches
A. Amaar, Wajdi Aljedaani, Furqan Rustam, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 3, pp. 2219-2247
Closed Access | Times Cited: 39
Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction
Furqan Rustam, Abid Ishaq, Kashif Munir, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1474-1474
Open Access | Times Cited: 37
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