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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.

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Showing 12 citing articles:

Safe haven properties of green, Islamic, and crypto assets and investor's proclivity towards treasury and gold
Syed Kumail Abbas Rizvi, Bushra Naqvi, Nawazish Mirza, et al.
Energy Economics (2022) Vol. 115, pp. 106396-106396
Closed Access | Times Cited: 75
Russia’s ruble during the onset of the Russian invasion of Ukraine in early 2022: The role of implied volatility and attention
Štefan Lyócsa, Tomáš Plíhal
Finance research letters (2022) Vol. 48, pp. 102995-102995
Open Access | Times Cited: 57
Opinion Mining of Green Energy Sentiment: A Russia-Ukraine Conflict Analysis
Raquel Ibar-Alonso, Raquel Quiroga García, Mar Arenas‐Parra
Mathematics (2022) Vol. 10, Iss. 14, pp. 2532-2532
Open Access | Times Cited: 30
Sentiment Analysis and Comprehensive Evaluation of Supervised Machine Learning Models Using Twitter Data on Russia–Ukraine War
Ganesh Kumar Wadhwani, Pankaj Kumar Varshney, Anjali Gupta, et al.
SN Computer Science (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 17
#IStandWithPutin Versus #IStandWithUkraine: The Interaction of Bots and Humans in Discussion of the Russia/Ukraine War
Bridget Smart, Joshua Watt, Sara Benedetti, et al.
Lecture notes in computer science (2022), pp. 34-53
Open Access | Times Cited: 24
The first two months in the war in Ukraine through topic modeling and sentiment analysis
Clara Maathuis, Iddo Kerkhof
Regional Science Policy & Practice (2023) Vol. 15, Iss. 1, pp. 56-75
Open Access | Times Cited: 12
From Heroes to Scoundrels: Exploring the effects of online campaigns celebrating frontline workers on COVID-19 outcomes
Efstathios Polyzos, Anestis Fotiadis, Tzung‐Cheng Huan
Technology in Society (2023) Vol. 72, pp. 102198-102198
Open Access | Times Cited: 7
Spanish Political Communication and Hate Speech on Twitter During the Russian Invasion of Ukraine
Antonio J. Baladrón Pazos, Beatriz Correyero Ruiz, Benjamín Manchado-Pérez
Politics and Governance (2023) Vol. 11, Iss. 2
Open Access | Times Cited: 5
Hybrid Deep Learning Approach for Classification and Analysis of X Posts on Russia Ukraine War
Amrit Suman, Sudeep Varshney, Kuldeep Chouhan, et al.
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 837-853
Open Access | Times Cited: 1
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia–Ukraine Conflict
Enrico De Santis, Alessio Martino, Francesca Ronci, et al.
Information (2023) Vol. 14, Iss. 6, pp. 330-330
Open Access | Times Cited: 2
Sentiment of the Tweets on Russo-Ukrainian War: the Social Network Analysis
Andrija Poleksić, Sanda Martinčić-Ipšć
(2023), pp. 1089-1095
Closed Access
A Hybrid and Scalable Sentiment Analysis Framework: Case of Russo-Ukrainian War
Mohamed A. Allayla, Serkan Ayvaz
(2023), pp. 13-18
Closed Access
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