Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A novel automatic satire and irony detection using ensembled feature selection and data mining
Kumar Ravi, Vadlamani Ravi
Knowledge-Based Systems (2016) Vol. 120, pp. 15-33
Closed Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Marouane Birjali, Mohammed Kasri, Abderrahim Beni‐Hssane
Knowledge-Based Systems (2021) Vol. 226, pp. 107134-107134
Closed Access | Times Cited: 639
Binary dragonfly optimization for feature selection using time-varying transfer functions
Majdi Mafarja, Ibrahim Aljarah, Ali Asghar Heidari, et al.
Knowledge-Based Systems (2018) Vol. 161, pp. 185-204
Open Access | Times Cited: 364
A recent overview of the state-of-the-art elements of text classification
Marcin Mirończuk, Jarosław Protasiewicz
Expert Systems with Applications (2018) Vol. 106, pp. 36-54
Open Access | Times Cited: 283
A transformer-based approach to irony and sarcasm detection
Rolandos Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis
Neural Computing and Applications (2020) Vol. 32, Iss. 23, pp. 17309-17320
Open Access | Times Cited: 67
Three-way decisions based feature fusion for Chinese irony detection
Xiuyi Jia, Zhao Deng, Fan Min, et al.
International Journal of Approximate Reasoning (2019) Vol. 113, pp. 324-335
Open Access | Times Cited: 60
A survey of automatic sarcasm detection: Fundamental theories, formulation, datasets, detection methods, and opportunities
Wangqun Chen, Fuqiang Lin, Guowei Li, et al.
Neurocomputing (2024) Vol. 578, pp. 127428-127428
Closed Access | Times Cited: 6
Fuzzy formal concept analysis based opinion mining for CRM in financial services
Kumar Ravi, Vadlamani Ravi, P. Sree Rama Krishna Prasad
Applied Soft Computing (2017) Vol. 60, pp. 786-807
Closed Access | Times Cited: 55
Multi-Rule Based Ensemble Feature Selection Model for Sarcasm Type Detection in Twitter
Karthik T. Sundararajan, Anandhakumar Palanisamy
Computational Intelligence and Neuroscience (2020) Vol. 2020, pp. 1-17
Open Access | Times Cited: 48
A progressive interaction model for multimodal sarcasm detection
Yulei Zhang, Guangli Zhu, Yuanyuan Ding, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Exploring the relationship between clout and cognitive processing in MOOC discussion forums
Robert L. Moore, Cherng‐Jyh Yen, F. Eamonn Powers
British Journal of Educational Technology (2020) Vol. 52, Iss. 1, pp. 482-497
Closed Access | Times Cited: 35
Automatic Sarcasm Detection: Systematic Literature Review
Alexandru-Costin Băroiu, Ştefan Trăuşan-Matu
Information (2022) Vol. 13, Iss. 8, pp. 399-399
Open Access | Times Cited: 19
Fast incremental learning of logistic model tree using least angle regression
Sudong Lee, Chi‐Hyuck Jun
Expert Systems with Applications (2017) Vol. 97, pp. 137-145
Closed Access | Times Cited: 35
Assessing writing with the tool for the automatic analysis of lexical sophistication (TAALES)
Scott A. Crossley, Kristopher Kyle
Assessing Writing (2018) Vol. 38, pp. 46-50
Open Access | Times Cited: 32
A Multi-Dimension Question Answering Network for Sarcasm Detection
Yufeng Diao, Hongfei Lin, Liang Yang, et al.
IEEE Access (2020) Vol. 8, pp. 135152-135161
Open Access | Times Cited: 28
Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach
Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252918-e0252918
Open Access | Times Cited: 21
A deep CNN architecture with novel pooling layer applied to two Sudanese Arabic sentiment data sets
Mustafa Mhamed, Richard F. E. Sutcliffe, Husam Quteineh, et al.
Journal of Information Science (2023)
Open Access | Times Cited: 8
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, et al.
(2018), pp. 525-530
Open Access | Times Cited: 25
ConFake: fake news identification using content based features
Mayank Jain, Dinesh Gopalani, Yogesh Kumar Meena
Multimedia Tools and Applications (2023) Vol. 83, Iss. 3, pp. 8729-8755
Closed Access | Times Cited: 7
An Ensemble Feature Selection Approach to Identify Relevant Features from EEG Signals
Maritza Mera-Gaona, Diego M. López, Rubiel Vargas-Cañas
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6983-6983
Open Access | Times Cited: 17
CRF-MEM: Conditional Random Field Model Based Modified Expectation Maximization Algorithm for Sarcasm Detection in Social Media
Anbarasu Sivalingam Anbarasu Sivalingam, Karthik Sundararajan Anbarasu Sivalingam, Anandhakumar Palanisamy Karthik Sundararajan
網際網路技術學刊 (2023) Vol. 24, Iss. 1, pp. 045-054
Open Access | Times Cited: 6
WELMSD – word embedding and language model based sarcasm detection
Pradeep Kumar, Gaurav Sarin
Online Information Review (2022) Vol. 46, Iss. 7, pp. 1242-1256
Closed Access | Times Cited: 10
An Integrated Development Model of Cultural and Creative Industry and Rural Tourism Industry Based on Data Mining
Chang Wei-feng
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 10
Parsing Based Sarcasm Detection from Literal Language in Tweets
Syed Muzamil Basha, Dharmendra Singh Rajput
Recent Patents on Computer Science (2018) Vol. 11, Iss. 1, pp. 62-69
Closed Access | Times Cited: 17
Evaluating the Brazilian Portuguese version of the 2015 LIWC Lexicon with sentiment analysis in social networks
Flávio Carvalho, Rafael Guimarães Rodrigues, Gabriel Santos, et al.
Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM) (2019)
Open Access | Times Cited: 16
Predicting Indian Stock Market Using the Psycho-Linguistic Features of Financial News
B. Shravan Kumar, Vadlamani Ravi, Rishabh Miglani
Annals of Data Science (2020) Vol. 8, Iss. 3, pp. 517-558
Closed Access | Times Cited: 14
Page 1 - Next Page

Scroll to top