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:

Multi-label emotion classification of Urdu tweets
Noman Ashraf, Lal Khan, Sabur Butt, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e896-e896
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Evolving techniques in sentiment analysis: a comprehensive review
M. R. Pavan Kumar, Lal Khan, Hsien-Tsung Chang
PeerJ Computer Science (2025) Vol. 11, pp. e2592-e2592
Open Access | Times Cited: 1

Deep learning and transfer learning to understand emotions: a PoliEMO dataset and multi-label classification in Indian elections
Anuradha Surolia, Shikha Mehta, Ponnurangam Kumaraguru
International Journal of Data Science and Analytics (2025)
Closed Access | Times Cited: 1

Sentiment analysis of vegan related tweets using mutual information for feature selection
Elvina Shamoi, Akniyet Turdybay, Pakizar Shamoi, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1149-e1149
Open Access | Times Cited: 27

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

Improving news headline text generation quality through frequent POS-Tag patterns analysis
Noureen Fatima, Sher Muhammad Daudpota, Zenun Kastrati, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106718-106718
Open Access | Times Cited: 12

Migraine headache (MH) classification using machine learning methods with data augmentation
Lal Khan, Moudasra Shahreen, Atika Qazi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

A Novel Approach for Emotion Detection and Sentiment Analysis for Low Resource Urdu Language Based on CNN-LSTM
Farhat Ullah, Xin Chen, Syed Bilal Hussain Shah, et al.
Electronics (2022) Vol. 11, Iss. 24, pp. 4096-4096
Open Access | Times Cited: 17

PoliGuilt: Two level guilt detection from social media texts
Abdul Gafar Manuel Meque, Fazlourrahman Balouchzahi, Alexander Gelbukh, et al.
Expert Systems with Applications (2025), pp. 127187-127187
Closed Access

A Novel Cognitive Multi-Label Classification Model for Social Media Data Based on Dolphin Optimized Learning and Hybrid Classification networks
Shumama Ansa, G. Narsimha
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 2
Open Access

Innovations in Urdu Sentiment Analysis Using Machine and Deep Learning Techniques for Two-Class Classification of Symmetric Datasets
Khalid Bin Muhammad, S. M. Aqil Burney
Symmetry (2023) Vol. 15, Iss. 5, pp. 1027-1027
Open Access | Times Cited: 8

A model for identifying potentially inappropriate medication used in older people with dementia: a machine learning study
Qiaozhi Hu, Mengnan Zhao, Fei Teng, et al.
International Journal of Clinical Pharmacy (2024) Vol. 46, Iss. 4, pp. 937-946
Open Access | Times Cited: 3

Developing a Warning Model of Potentially Inappropriate Medications in Older Chinese Outpatients in Tertiary Hospitals: A Machine-Learning Study
Qiaozhi Hu, Fangyuan Tian, Zhaohui Jin, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 7, pp. 2619-2619
Open Access | Times Cited: 6

ReDDIT: Regret detection and domain identification from text
Fazlourrahman Balouchzahi, Sabur Butt, Grigori Sidorov, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120099-120099
Open Access | Times Cited: 6

EnML: Multi-label Ensemble Learning for Urdu Text Classification
Faiza Mehmood, Rehab Shahzadi, Hina Ghafoor, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2023) Vol. 22, Iss. 9, pp. 1-31
Closed Access | Times Cited: 4

Enhancing Emoji-Based Sentiment Classification in Urdu Tweets: Fusion Strategies With Multilingual BERT and Emoji Embeddings
Komal Rani Narejo, Hongying Zan, Дина Оралбекова, et al.
IEEE Access (2024) Vol. 12, pp. 126587-126600
Open Access | Times Cited: 1

Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT
Lal Khan, Atika Qazi, Hsien-Tsung Chang, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Urduhope: Analysis of Hope and Hopelessness in Urdu Texts
Fazlourrahman Balouchzahi, Sabur Butt, Maaz Amjad, et al.
(2024)
Closed Access

Emotion classification on code-mixed text messages via soft prompt tuning
Jinghui Zhang, Dongming Yang, Si-yu Bao, et al.
(2023), pp. 596-600
Open Access | Times Cited: 1

Revolutionizing Urdu Sentiment Analysis: Harnessing the Power of XLM-R and GPT-2
Muhammad Rehan Ashraf, M Hussain, M. Arfan Jaffar, et al.
IEEE Access (2024) Vol. 12, pp. 99779-99793
Open Access

Advancing Urdu NLP: Aspect-Based Sentiment Analysis with Graph Attention Networks
Kamran Aziz, Donghong Ji, Bobo Li, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access

Terrorism group prediction using feature combination and BiGRU with self-attention mechanism
Mohammed Abdalsalam, Chunlin Li, Abdelghani Dahou, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2252-e2252
Open Access

Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization
Waqar Ashiq, Samra Kanwal, Adnan Rafique, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

UrduHope: Analysis of hope and hopelessness in Urdu texts
Fazlourrahman Balouchzahi, Sabur Butt, Maaz Amjad, et al.
Knowledge-Based Systems (2024), pp. 112746-112746
Closed Access

Unveiling the Effectiveness of NLP-Based DL Methods for Urdu Text Analysis
Noman Tahir, Michal Nykl, Ondřej Pražák, et al.
Lecture notes in information systems and organisation (2024), pp. 102-113
Closed Access

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