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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:

Tweet Sentiment
Wei Gao, Fabrizio Sebastiani
(2015), pp. 97-104
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Like It or Not
Anastasia Giachanou, Fábio Crestani
ACM Computing Surveys (2016) Vol. 49, Iss. 2, pp. 1-41
Closed Access | Times Cited: 503
A Pattern-Based Approach for Multi-Class Sentiment Analysis in Twitter
Mondher Bouazizi, Tomoaki Ohtsuki
IEEE Access (2017) Vol. 5, pp. 20617-20639
Open Access | Times Cited: 161
A Review on Quantification Learning
Pablo González, Alberto Barrientos Castaño, Nitesh V. Chawla, et al.
ACM Computing Surveys (2017) Vol. 50, Iss. 5, pp. 1-40
Open Access | Times Cited: 99
Predictive Analysis on Twitter: Techniques and Applications
Ugur Kursuncu, Manas Gaur, Usha Lokala, et al.
Lecture notes in social networks (2018), pp. 67-104
Open Access | Times Cited: 76
Evaluation measures for quantification: an axiomatic approach
Fabrizio Sebastiani
Information Retrieval (2019) Vol. 23, Iss. 3, pp. 255-288
Open Access | Times Cited: 62
From classification to quantification in tweet sentiment analysis
Wei Gao, Fabrizio Sebastiani
Social Network Analysis and Mining (2016) Vol. 6, Iss. 1
Closed Access | Times Cited: 60
Cross project defect prediction using class distribution estimation and oversampling
Nachai Limsettho, Kwabena Ebo Bennin, Jacky Keung, et al.
Information and Software Technology (2018) Vol. 100, pp. 87-102
Closed Access | Times Cited: 57
Online Optimization Methods for the Quantification Problem
Purushottam Kar, Shuai Li, Harikrishna Narasimhan, et al.
(2016), pp. 1625-1634
Open Access | Times Cited: 52
Dynamic ensemble selection for quantification tasks
Pablo Pérez-Gállego, Alberto Barrientos Castaño, José Ramón Quevedo, et al.
Information Fusion (2018) Vol. 45, pp. 1-15
Open Access | Times Cited: 51
Multi-Class Sentiment Analysis in Twitter: What if Classification is Not the Answer
Mondher Bouazizi, Tomoaki Ohtsuki
IEEE Access (2018) Vol. 6, pp. 64486-64502
Open Access | Times Cited: 51
Technical Sentiment Analysis. Measuring Advantages and Drawbacks of New Products Using Social Media
Filippo Chiarello, Andrea Bonaccorsi, Gualtiero Fantoni
Computers in Industry (2020) Vol. 123, pp. 103299-103299
Open Access | Times Cited: 49
Sentiment analysis: From binary to multi-class classification: A pattern-based approach for multi-class sentiment analysis in Twitter
Mondher Bouazizi, Tomoaki Ohtsuki
(2016), pp. 1-6
Closed Access | Times Cited: 48
Using ensembles for problems with characterizable changes in data distribution: A case study on quantification
Pablo Pérez-Gállego, José Ramón Quevedo, Juan José del Coz
Information Fusion (2016) Vol. 34, pp. 87-100
Open Access | Times Cited: 47
Tweet sentiment quantification: An experimental re-evaluation
Alejandro Moreo, Fabrizio Sebastiani
PLoS ONE (2022) Vol. 17, Iss. 9, pp. e0263449-e0263449
Open Access | Times Cited: 22
Sentimental Analysis for Airline Twitter data
Deb Dutta Das, Sharan Sharma, Shubham Natani, et al.
IOP Conference Series Materials Science and Engineering (2017) Vol. 263, pp. 042067-042067
Open Access | Times Cited: 36
A General Framework for Class Label Specific Mutual Information Feature Selection Method
Deepak Kumar Rakesh, Prasanta K. Jana
IEEE Transactions on Information Theory (2022) Vol. 68, Iss. 12, pp. 7996-8014
Closed Access | Times Cited: 16
A Large-Scale Study of Modern Code Review and Security in Open Source Projects
Christopher Thompson, David Wagner
(2017), pp. 83-92
Open Access | Times Cited: 32
Measuring Proximity Between Newspapers and Political Parties: The Sentiment Political Compass
Fabian Falck, Julian Marstaller, Niklas Stoehr, et al.
Policy & Internet (2019) Vol. 12, Iss. 3, pp. 367-399
Closed Access | Times Cited: 29
Optimizing non-decomposable measures with deep networks
Amartya Sanyal, Pawan Kumar, Purushottam Kar, et al.
Machine Learning (2018) Vol. 107, Iss. 8-10, pp. 1597-1620
Open Access | Times Cited: 28
Ordinal Text Quantification
Giovanni Da San Martino, Wei Gao, Fabrizio Sebastiani
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2016)
Open Access | Times Cited: 25
TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification
Georgios Balikas, Massih-Reza Amini
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2016), pp. 85-91
Open Access | Times Cited: 20
A classification and quantification approach to generate features in soundscape ecology using neural networks
Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim
Neural Computing and Applications (2021) Vol. 34, Iss. 3, pp. 1923-1937
Closed Access | Times Cited: 14
QuaPy: A Python-Based Framework for Quantification
Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
(2021), pp. 4534-4543
Open Access | Times Cited: 14
Detecting the Correlation between Sentiment and User-level as well as Text-Level Meta-data from Benchmark Corpora
Shubhanshu Mishra, Jana Diesner
(2018), pp. 2-10
Closed Access | Times Cited: 15
Opinion Mining and Sentiment Study of Tweets Polarity Using Machine Learning
A. Mridula, C. R. Kavitha
(2018), pp. 621-626
Closed Access | Times Cited: 13
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