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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:

Learning to Identify Arabic and German Dialects using Multiple Kernels
Radu Tudor Ionescu, Andrei M. Butnaru
(2017), pp. 200-209
Open Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Automatic Language Identification in Texts: A Survey
Tommi Jauhiainen, Marco Lui, Marcos Zampieri, et al.
Journal of Artificial Intelligence Research (2019) Vol. 65
Open Access | Times Cited: 147
Findings of the VarDial Evaluation Campaign 2017
Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, et al.
(2017)
Open Access | Times Cited: 157
Automated essay scoring with string kernels and word embeddings
Mădălina Cozma, Andrei M. Butnaru, Radu Tudor Ionescu
(2018)
Open Access | Times Cited: 105
Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.
(2018), pp. 1-17
Closed Access | Times Cited: 97
You Tweet What You Speak: A City-Level Dataset of Arabic Dialects
Muhammad Abdul-Mageed, Hassan Alhuzali, Mohamed Elaraby
Language Resources and Evaluation (2018)
Closed Access | Times Cited: 59
Using of Visual Application in Arabic Language Learning Class X MAN 1 Kuantan Singingi
Amrina Amrina, Ihwatu Akhiri, Chuen Neng Lee, et al.
Scientechno Journal of Science and Technology (2022) Vol. 1, Iss. 1, pp. 1-14
Open Access | Times Cited: 25
MOROCO: The Moldavian and Romanian Dialectal Corpus
Andrei M. Butnaru, Radu Tudor Ionescu
(2019), pp. 688-698
Open Access | Times Cited: 40
Character Level Convolutional Neural Network for Arabic Dialect Identification.
Mohamed Ali
International Conference on Computational Linguistics (2018), pp. 122-127
Closed Access | Times Cited: 35
A Report on the VarDial Evaluation Campaign 2020
Mihaela Găman, Dirk Hovy, Radu Tudor Ionescu, et al.
(2020), pp. 1-14
Closed Access | Times Cited: 28
Evaluation and Measurement
Tommi Jauhiainen, Marcos Zampieri, Timothy Baldwin, et al.
Synthesis lectures on human language technologies (2024), pp. 65-97
Closed Access | Times Cited: 3
MIT-QCRI Arabic dialect identification system for the 2017 multi-genre broadcast challenge
Suwon Shon, Ahmed Ali, James Glass
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) (2017), pp. 374-380
Closed Access | Times Cited: 28
HeLI-based Experiments in Swiss German Dialect Identification
Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén
(2018), pp. 254-262
Closed Access | Times Cited: 25
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row
Andrei M. Butnaru, Radu Tudor Ionescu
arXiv (Cornell University) (2018), pp. 77-87
Closed Access | Times Cited: 25
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set
Radu Tudor Ionescu, Andrei M. Butnaru
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2018), pp. 1084-1090
Open Access | Times Cited: 21
Can string kernels pass the test of time in Native Language Identification?
Radu Tudor Ionescu, Marius Popescu
(2017), pp. 224-234
Open Access | Times Cited: 20
Native Language Identification on Text and Speech
Marcos Zampieri, Alina Maria Ciobanu, Liviu P. Dinu
(2017)
Open Access | Times Cited: 18
Automatic Language Identification in Texts: A Survey
Tommi Jauhiainen, Marco Lui, Marcos Zampieri, et al.
(2018)
Closed Access | Times Cited: 15
Language model adaptation for language and dialect identification of text
Tommi Jauhiainen, Krister Lindén, Heidi Jauhiainen
Natural Language Engineering (2019) Vol. 25, Iss. 5, pp. 561-583
Open Access | Times Cited: 15
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set
Anca Tache, Mihaela Găman, Radu Tudor Ionescu
(2021), pp. 949-956
Open Access | Times Cited: 13
A Deep Learning Approach for Identifying and Discriminating Spoken Arabic Among Other Languages
Adal A. Alashban, Yousef Ajami Alotaibi
IEEE Access (2023) Vol. 11, pp. 11613-11628
Open Access | Times Cited: 5
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row
Andrei M. Butnaru, Radu Tudor Ionescu
arXiv (Cornell University) (2018)
Open Access | Times Cited: 12
Dialect Classification From a Single Sonorant Sound Using Deep Neural Networks
Charalambos Themistocleous
Frontiers in Communication (2019) Vol. 4
Open Access | Times Cited: 12
Bridging the Native Language and Language Variety Identification Tasks
Marc Franco-Salvador, Greg Kondrak, Paolo Rosso
Procedia Computer Science (2017) Vol. 112, pp. 1554-1561
Open Access | Times Cited: 11
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification
Mihaela Găman, Radu Tudor Ionescu
(2020)
Closed Access | Times Cited: 11
HASKER: An efficient algorithm for string kernels. Application to polarity classification in various languages
Marius Popescu, Cristian Grozea, Radu Tudor Ionescu
Procedia Computer Science (2017) Vol. 112, pp. 1755-1763
Open Access | Times Cited: 10
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