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:

Forecasting unemployment insurance claims in realtime with Google Trends
Daniel Aaronson, Scott A. Brave, R. Andrew Butters, et al.
International Journal of Forecasting (2021) Vol. 38, Iss. 2, pp. 567-581
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?
Yang Yang, Yawen Fan, Lan Jiang, et al.
Annals of Tourism Research (2022) Vol. 93, pp. 103365-103365
Closed Access | Times Cited: 49

Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach
Jing Wu, Mingchen Li, Erlong Zhao, et al.
Tourism Management (2023) Vol. 98, pp. 104759-104759
Open Access | Times Cited: 34

Nowcasting Norwegian household consumption with debit card transaction data
Knut Are Aastveit, Tuva Marie Fastbø, Eleonora Granziera, et al.
Journal of Applied Econometrics (2024) Vol. 39, Iss. 7, pp. 1220-1244
Open Access | Times Cited: 10

China futures price forecasting based on online search and information transfer
Jingyi Liang, Guozhu Jia
Data Science and Management (2022) Vol. 5, Iss. 4, pp. 187-198
Closed Access | Times Cited: 25

Nowcasting with panels and alternative data: The OECD weekly tracker
Nicolas Woloszko
International Journal of Forecasting (2024) Vol. 40, Iss. 4, pp. 1302-1335
Closed Access | Times Cited: 3

An intelligent decision support system for warranty claims forecasting: Merits of social media and quality function deployment
Ali Nikseresht, Sajjad Shokouhyar‎, Erfan Babaee Tırkolaee, et al.
Technological Forecasting and Social Change (2024) Vol. 201, pp. 123268-123268
Closed Access | Times Cited: 3

Testing big data in a big crisis: Nowcasting under Covid-19
Luca Barbaglia, Lorenzo Frattarolo, Luca Onorante, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 4, pp. 1548-1563
Open Access | Times Cited: 17

Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data
Daniel Borup, David E. Rapach, Erik Christian Montes Schütte
International Journal of Forecasting (2022) Vol. 39, Iss. 3, pp. 1122-1144
Closed Access | Times Cited: 16

Unemployment claims during COVID-19 and economic support measures in the U.S.
Theologos Dergiades, Costas Milas, Theodore Panagiotidis
Economic Modelling (2022) Vol. 113, pp. 105891-105891
Open Access | Times Cited: 15

Predicting the unemployment rate using autoregressive integrated moving average
Andrian Dolfriandra Huruta
Cogent Business & Management (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

Testing Big Data in a Big Crisis: Nowcasting under COVID-19
Luca Barbaglia, Lorenzo Frattarolo, Luca Onorante, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 11

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg
Dean Fantazzini, Julia Pushchelenko, Alexey Mironenkov, et al.
Forecasting (2021) Vol. 3, Iss. 4, pp. 774-803
Open Access | Times Cited: 15

A hybrid forecasting architecture for air passenger demand considering search engine data and spatial effect
Xiaozhen Liang, Chenxi Hong, Jiaqi Chen, et al.
Journal of Air Transport Management (2024) Vol. 118, pp. 102611-102611
Closed Access | Times Cited: 1

Real-time nowcasting the monthly unemployment rates with daily Google Trends data
Eduardo Costa, Maria Eduarda Silva, Ana Beatriz Galvão
Socio-Economic Planning Sciences (2024) Vol. 95, pp. 101963-101963
Open Access | Times Cited: 1

Spatiotemporal Characteristics and Factors Influencing Urban Tourism Market Network in Western China: Taking Chengdu as an Example
Chen-Hao Xue, Yongping Bai
Sustainability (2023) Vol. 15, Iss. 10, pp. 8135-8135
Open Access | Times Cited: 4

Forecasting GDP growth: The economic impact of COVID‐19 pandemic
Ioannis D. Vrontos, John Galakis, Ekaterini Panopoulou, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 4, pp. 1042-1086
Open Access | Times Cited: 1

Now- and Backcasting Initial Claims with High-Dimensional Daily Internet Search-Volume Data
Daniel Borup, David E. Rapach, Erik Christian Montes Schütte
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 7

Nowcasting Unemployment Using Neural Networks and Multi-Dimensional Google Trends Data
Andrius Grybauskas, Vaida Pilinkienė, Mantas Lukauskas, et al.
Economies (2023) Vol. 11, Iss. 5, pp. 130-130
Open Access | Times Cited: 2

Predicting macroeconomic indicators from online activity data: A review
Eduardo André Costa, Maria Eduarda Silva
Statistical Journal of the IAOS (2024) Vol. 40, Iss. 2, pp. 403-419
Closed Access

Searching for migration: estimating Japanese migration to Europe with Google Trends data
Bert Leysen, Pieter‐Paul Verhaeghe
Quality & Quantity (2022) Vol. 57, Iss. 5, pp. 4603-4631
Open Access | Times Cited: 3

New Changes in Chinese Urban Tourism Pattern under the Impact of COVID-19 Pandemic: Based on Internet Attention
Fengzhi Sun, Zihan Li, Mingzhi Xu, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 5853-5853
Open Access

Air travel demand forecasting based on big data: A struggle against public anxiety
Xiaozhen Liang, Chenxi Hong, Wenkun Zhou, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 2

Deep Learning Based Cyber Event Detection from Open-Source Re-Emerging Social Data
Farah Mohammad, Saad Al-Ahmadi, Jalal Al‐Muhtadi
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 2, pp. 1423-1438
Open Access

STUDI PENGGUNAAN DATA GOOGLE TRENDS: KASUS PERAMALAN TINGKAT PENGANGGURAN USIA MUDA
D. S. Priyarsono, Siti Magfirotul Laelia
Bina Ekonomi (2023) Vol. 27, Iss. 2, pp. 100-123
Open Access

Searching for migration: Estimating Japanese migration to Europe with Google Trends data
Bert Leysen, Pieter‐Paul Verhaeghe
Research Square (Research Square) (2022)
Open Access

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