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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:

Detecting abusive comments at a fine-grained level in a low-resource language
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Shubanker Banerjee, et al.
Natural Language Processing Journal (2023) Vol. 3, pp. 100006-100006
Open Access | Times Cited: 15

Showing 15 citing articles:

Employing large language models in survey research
Bernard J. Jansen, Soon‐gyo Jung, Joni Salminen
Natural Language Processing Journal (2023) Vol. 4, pp. 100020-100020
Open Access | Times Cited: 49
Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model
Soran Badawi
Kurdistan Journal of Applied Research (2023) Vol. 8, Iss. 1, pp. 27-34
Open Access | Times Cited: 5
Syntax-aware Offensive Content Detection in Low-resourced Code-mixed Languages with Continual Pre-training
Necva Bölücü, Pelin Canbay
ACM Transactions on Asian and Low-Resource Language Information Processing (2024)
Open Access | Times Cited: 1
Decoding depression: Analyzing social network insights for depression severity assessment with transformers and explainable AI
Tasnim Ahmed, Shahriar Ivan, Ahnaf Munir, et al.
Natural Language Processing Journal (2024) Vol. 7, pp. 100079-100079
Open Access | Times Cited: 1
A Comparison of Multinomial Naive Bayes and XG Boost for Sentiment Analysis and Bias Detection in Tweets
R Devadath, Emeric C Alex, K Sreeja, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
Enhancing hate speech detection in Indonesian using abusive words lexicon
Endang Wahyu Pamungkas, Dian Purworini, Divi Galih Prasetyo Putri, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 1, pp. 450-450
Open Access
Abusive Social Media Comments Detection for Tamil and Telugu
Mani Vegupatti, Prasanna Kumar Kumaresan, Swetha Valli, et al.
Communications in computer and information science (2024), pp. 174-187
Closed Access
Telugu-English Abusive Comment Detection Using XLMRoBERTa and mBERT
P. R. Reddy, K. V. Munawwar, K. Nandhini
Communications in computer and information science (2024), pp. 236-245
Closed Access
Understanding the Evolution of Abusive Behaviour in Online Social Networks
Ovais Bashir Gashroo, Monica Mehrotra
(2024), pp. 1-7
Closed Access
Abusive Words Detection on Reddit Comments Using Machine Learning Algorithms
S Madhurima, K. Ajith, Swathy VS, et al.
(2024), pp. 312-317
Closed Access
Safeguarding Cyberspace: A Hybrid Machinelearning and Blockchain Solution for Code-Mixedcyberbullying Detection
Purva Bajpai, Aaryan Jha, Anuja Nair, et al.
(2024)
Closed Access
Detecting Offensive Language in Tamil YouTube Comments
S. Arul Antran Vijay, K. Tanush, M. Udhayarajan, et al.
Lecture notes in networks and systems (2024), pp. 407-420
Closed Access
Detection of Abusive Content Using Machine Learning and Deep Learning Methods
Ask Reddy, Manu Gupta, S. Shanmuga Priya, et al.
Lecture notes in networks and systems (2024), pp. 227-240
Closed Access
Findings of Shared task on Sarcasm Identification in Code-Mixed Dravidian Languages
N. Sripriya, D. Thenmozhi, K. Nandhini, et al.
(2023), pp. 22-24
Closed Access
Exploring the Impact of Lexicon-based Knowledge Transfer for Hate Speech Detection in Indonesia Code-Mixed Languages
Endang Wahyu Pamungkas, Dian Purworini, Diah Priyawati, et al.
(2023), pp. 85-90
Closed Access
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