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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:

Automated Classification of Evidence of Respect in the Communication through Twitter
Krzysztof Fiok, Waldemar Karwowski, Edgar Gutiérrez-Franco, et al.
Applied Sciences (2021) Vol. 11, Iss. 3, pp. 1294-1294
Open Access | Times Cited: 10

Showing 10 citing articles:

Automatic Hate Speech Detection in English-Odia Code Mixed Social Media Data Using Machine Learning Techniques
Sudhir Kumar Mohapatra, Srinivas Prasad, Dwiti Krishna Bebarta, et al.
Applied Sciences (2021) Vol. 11, Iss. 18, pp. 8575-8575
Open Access | Times Cited: 31
A Study of the Effects of the COVID-19 Pandemic on the Experience of Back Pain Reported on Twitter® in the United States: A Natural Language Processing Approach
Krzysztof Fiok, Waldemar Karwowski, Edgar Gutiérrez-Franco, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 9, pp. 4543-4543
Open Access | Times Cited: 18
Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions
Junaid Abdul Wahid, Lei Shi, Yufei Gao, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e677-e677
Open Access | Times Cited: 17
Visualizing the Interpretation of a Criterion-Driven System that Automatically Evaluates the Quality of Health News: an Exploratory Study of Two Approaches (Preprint)
Xiaoyu Liu, Hiba Alsghaier, Amna Ataullah, et al.
(2022)
Closed Access
Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches
Xiaoyu Liu, Hiba Alsghaier, Ling Tong, et al.
JMIR AI (2022) Vol. 1, Iss. 1, pp. e37751-e37751
Open Access
Peer Review #3 of "Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions (v0.1)"
Junaid Abdul Wahid, Lei Shi, Yufei Gao, et al.
(2021)
Open Access
Peer Review #4 of "Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions (v0.2)"
Junaid Abdul Wahid, Lei Shi, Yufei Gao, et al.
(2021)
Open Access
Peer Review #2 of "Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions (v0.1)"
Junaid Abdul Wahid, Lei Shi, Yufei Gao, et al.
(2021)
Open Access
Peer Review #4 of "Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions (v0.1)"
Junaid Abdul Wahid, Lei Shi, Yufei Gao, et al.
(2021)
Open Access
Peer Review #1 of "Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions (v0.1)"
Junaid Abdul Wahid, Lei Shi, Yufei Gao, et al.
(2021)
Open Access
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