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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:

Combining official and Google Trends data to forecast the Italian youth unemployment rate
Alessia Naccarato, Stefano Falorsi, Silvia Loriga, et al.
Technological Forecasting and Social Change (2017) Vol. 130, pp. 114-122
Closed Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Online labour index: Measuring the online gig economy for policy and research
otto kässi, Vili Lehdonvirta
Technological Forecasting and Social Change (2018) Vol. 137, pp. 241-248
Open Access | Times Cited: 415
Computational socioeconomics
Jian Gao, Yi‐Cheng Zhang, Tao Zhou
Physics Reports (2019) Vol. 817, pp. 1-104
Open Access | Times Cited: 100
Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU
Wouter van der Wielen, Salvador Barrios
Journal of Economics and Business (2020) Vol. 115, pp. 105970-105970
Open Access | Times Cited: 71
Online public opinion prediction based on rolling fractional grey model with new information priority
Shuli Yan, Qi Su, Zaiwu Gong, et al.
Information Fusion (2022) Vol. 91, pp. 277-298
Closed Access | Times Cited: 31
Global regionalization of heat environment quality perception based on K-means clustering and Google trends data
Yesuel Kim, Young‐Chul Kim
Sustainable Cities and Society (2023) Vol. 96, pp. 104710-104710
Closed Access | Times Cited: 17
A novel method based on numerical fitting for oil price trend forecasting
Lu‐Tao Zhao, Yi Wang, Shi-Qiu Guo, et al.
Applied Energy (2018) Vol. 220, pp. 154-163
Closed Access | Times Cited: 52
Improving unemployment rate forecasts at regional level in Romania using Google Trends
Simionescu Mihaela
Technological Forecasting and Social Change (2020) Vol. 155, pp. 120026-120026
Closed Access | Times Cited: 49
Political activity in social media induces forest fires in the Brazilian Amazon
Marco Antônio Leonel Caetano
Technological Forecasting and Social Change (2021) Vol. 167, pp. 120676-120676
Closed Access | Times Cited: 36
Forecasting unemployment and employment: A system dynamics approach
Chulsu Jo, Doo Hwan Kim, Jae Woo Lee
Technological Forecasting and Social Change (2023) Vol. 194, pp. 122715-122715
Open Access | Times Cited: 14
Can Google search data help predict macroeconomic series?
Robin Niesert, Jochem Oorschot, Christian P. Veldhuisen, et al.
International Journal of Forecasting (2019) Vol. 36, Iss. 3, pp. 1163-1172
Open Access | Times Cited: 37
Employing Google Trends and Deep Learning in Forecasting Financial Market Turbulence
Αναστάσιος Πετρόπουλος, Vasileios Siakoulis, Evangelos Stavroulakis, et al.
Journal of Behavioral Finance (2021) Vol. 23, Iss. 3, pp. 353-365
Closed Access | Times Cited: 29
A damping grey multivariable model and its application in online public opinion prediction
Shuli Yan, Qi Su, Lifeng Wu, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105661-105661
Closed Access | Times Cited: 20
VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends
Williams Kwasi Adu, Peter Appiahene, Stephen Afrifa
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Predicting the cryptocurrency market using social media metrics and search trends during COVID-19
Jian Mou, Wenting Liu, Chong Guan, et al.
Electronic Commerce Research (2024) Vol. 24, Iss. 2, pp. 1307-1333
Closed Access | Times Cited: 4
Public interest in online searching of asthma information: insights from a Google trends analysis
Marsa Gholamzadeh, Mehrnaz Asadi Gharabaghi, Hamidreza Abtahi
BMC Pulmonary Medicine (2025) Vol. 25, Iss. 1
Open Access
Artificial Intelligence and Inflation Forecasting: A Contemporary Perspective
Pijush Kanti Das, Prabir Kumar Das
South Asian Journal of Macroeconomics and Public Finance (2025)
Closed Access
National Unemployment Rate Forecast with Google Trends
Savaş Gayaker, Hasan Türe
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2025) Vol. 12, Iss. 1, pp. 107-123
Open Access
Google Trends data and transfer function models to predict tourism demand in Italy
Giovanni De Luca, Monica Rosciano
Journal of Tourism Futures (2024)
Open Access | Times Cited: 3
Comparative Analysis of Different Univariate Forecasting Methods in Modelling and Predicting the Romanian Unemployment Rate for the Period 2021–2022
Adriana AnaMaria Davidescu, Simona Andreea Apostu, Andreea Paul
Entropy (2021) Vol. 23, Iss. 3, pp. 325-325
Open Access | Times Cited: 22
A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?
Mihaela Simionescu, Agota Giedrė Raišienė
Technological Forecasting and Social Change (2021) Vol. 173, pp. 121170-121170
Open Access | Times Cited: 22
Forecasting Spanish unemployment with Google Trends and dimension reduction techniques
Rodrigo Mulero, Alfredo García‐Hiernaux
SERIEs (2021) Vol. 12, Iss. 3, pp. 329-349
Open Access | Times Cited: 21
Electricity load forecast considering search engine indices
Xinyu Wu, Chunxia Dou, Dong Yue
Electric Power Systems Research (2021) Vol. 199, pp. 107398-107398
Closed Access | Times Cited: 21
Unemployment Rates Forecasting with Grey-Based Models in the Post-COVID-19 Period: A Case Study from Vietnam
Phi-Hung Nguyen, Jung‐Fa Tsai, İhsan Erdem Kayral, et al.
Sustainability (2021) Vol. 13, Iss. 14, pp. 7879-7879
Open Access | Times Cited: 21
IPSO-LSTM hybrid model for predicting online public opinion trends in emergencies
Guangyu Mu, Zehan Liao, Jiaxue Li, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292677-e0292677
Open Access | Times Cited: 9
A Model Selection Approach for Time Series Forecasting: Incorporating Google Trends Data in Australian Macro Indicators
Ali Abdul Karim, Eric Pardede, Scott Mann
Entropy (2023) Vol. 25, Iss. 8, pp. 1144-1144
Open Access | Times Cited: 8
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