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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:

Impacts of COVID-19 local spread and Google search trend on the US stock market
Asim Kumer Dey, G.M. Toufiqul Hoque, Kumer Pial Das, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 589, pp. 126423-126423
Open Access | Times Cited: 21

Showing 21 citing articles:

Machine learning sentiment analysis, COVID-19 news and stock market reactions
Michele Costola, Oliver Hinz, Michael Nofer, et al.
Research in International Business and Finance (2023) Vol. 64, pp. 101881-101881
Open Access | Times Cited: 82
Multi-source data driven cryptocurrency price movement prediction and portfolio optimization
Zhongbao Zhou, Zhengyang Song, Helu Xiao, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119600-119600
Closed Access | Times Cited: 14
Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI
Indranil Ghosh, Esteban Alfaro, Matías Gámez, et al.
Expert Systems with Applications (2023) Vol. 219, pp. 119695-119695
Open Access | Times Cited: 12
Empirical study and model simulation of global stock market dynamics during COVID-19
Lifu Jin, Bo Zheng, Jiahao Ma, et al.
Chaos Solitons & Fractals (2022) Vol. 159, pp. 112138-112138
Open Access | Times Cited: 11
COVID-19 Media Chatter and Macroeconomic Reflectors on Black Swan: A Spanish and Indian Stock Markets Comparison
Indranil Ghosh, Esteban Alfaro, Matías Gámez, et al.
Risks (2023) Vol. 11, Iss. 5, pp. 94-94
Open Access | Times Cited: 4
Change point detection in dynamic Gaussian graphical models: The impact of COVID-19 pandemic on the U.S. stock market
Beatrice Franzolini, Alexandros Beskos, Maria De Iorio, et al.
The Annals of Applied Statistics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Forecasting COVID-19 Pandemic Stock Prices using Portal Search Intensity and Deep Learning
Sun Woong Kim
Journal of Digital Contents Society (2022) Vol. 23, Iss. 2, pp. 343-350
Open Access | Times Cited: 4
America's decoupling from China: A perspective from stock markets
Kerry Liu
Economic Affairs (2023) Vol. 43, Iss. 1, pp. 32-52
Closed Access | Times Cited: 1
News about COVID-19: Unraveling the Market Reactions and Investor Sentiment across Different Stock Exchanges
Peter Albrecht, Lucie Maršálková, Pavel Dorňák
Ekonomický časopis (2023) Vol. 71, Iss. 4-5, pp. 281-299
Open Access | Times Cited: 1
COVID-19 on the Telecommunications Industry Stock Market Performances: An Event-Study Approach
Pratita Garnis Ariantika, Arthik Davianti
International Journal of Social Science and Business (2021) Vol. 5, Iss. 3, pp. 326-326
Open Access | Times Cited: 2
Empirical Study and Model Simulation of Global Stock Market Dynamics During Covid-19
Lifu Jin, Bo Zheng, Jiahao Ma, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Multi-Source Data Driven Cryptocurrency Price Movement Prediction and Portfolio Optimization
Zhongbao Zhou, Zhengyang Song, Helu Xiao, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
A representation and classification method for collective investor attention in the financial market
Zhenhua Yang, Bo Su, Ziyi Wang, et al.
Frontiers in Physics (2023) Vol. 10
Open Access
Forecasting stock indices with the COVID-19 infection rate as an exogenous variable
Mohammad Saha A. Patwary, Kumer Pial Das
PeerJ Computer Science (2023) Vol. 9, pp. e1532-e1532
Open Access
Peer Review #1 of "Forecasting stock indices with the COVID-19 infection rate as an exogenous variable (v0.1)"
Mohammad Patwary, Kumer Pial Das, Mohammad Shaha, et al.
(2023)
Open Access
Peer Review #3 of "Forecasting stock indices with the COVID-19 infection rate as an exogenous variable (v0.2)"
Sumita Halder
(2023)
Open Access
Peer Review #1 of "Forecasting stock indices with the COVID-19 infection rate as an exogenous variable (v0.3)"
Mohammad Patwary, Kumer Pial Das, Mohammad Shaha, et al.
(2023)
Open Access
Peer Review #1 of "Forecasting stock indices with the COVID-19 infection rate as an exogenous variable (v0.2)"
Mohammad Patwary, Kumer Pial Das, Mohammad Shaha, et al.
(2023)
Open Access
Peer Review #2 of "Forecasting stock indices with the COVID-19 infection rate as an exogenous variable (v0.1)"
Mohammad Patwary, Kumer Pial Das, Mohammad Shaha, et al.
(2023)
Open Access
Peer Review #3 of "Forecasting stock indices with the COVID-19 infection rate as an exogenous variable (v0.1)"
Subrata Halder
(2023)
Open Access
INVESTORS’ SENTIMENT AND EQUITY MARKETS DURING COVID-19 PERIOD: A QUANTILE REGRESSION APPROACH AND WAVELET ANALYSIS
Ștefan Cristian Gherghina, Seyed Mehdian, Ovidiu Stoica
Journal of Business Economics and Management (2023) Vol. 24, Iss. 3, pp. 551-575
Open Access
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