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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:

Forecasting German car sales using Google data and multivariate models
Dean Fantazzini, Zhamal Toktamysova
International Journal of Production Economics (2015) Vol. 170, pp. 97-135
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Forecasting sales in the supply chain: Consumer analytics in the big data era
Tonya Boone, Ram Ganeshan, Aditya Jain, et al.
International Journal of Forecasting (2018) Vol. 35, Iss. 1, pp. 170-180
Closed Access | Times Cited: 203
Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values
Ping‐Feng Pai, Chia-Hsin Liu
IEEE Access (2018) Vol. 6, pp. 57655-57662
Open Access | Times Cited: 95
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: 70
New energy vehicles sales forecasting using machine learning: The role of media sentiment
Jin Shao, Jingke Hong, Meiping Wang, et al.
Computers & Industrial Engineering (2025) Vol. 201, pp. 110928-110928
Closed Access | Times Cited: 1
Forecasting the importance of product attributes using online customer reviews and Google Trends
Hanan Yakubu, C.K. Kwong
Technological Forecasting and Social Change (2021) Vol. 171, pp. 120983-120983
Closed Access | Times Cited: 49
Demand forecasting based machine learning algorithms on customer information: an applied approach
Maryam Zohdi, Majid Rafiee, Vahid Kayvanfar, et al.
International Journal of Information Technology (2022) Vol. 14, Iss. 4, pp. 1937-1947
Closed Access | Times Cited: 36
Innovating knowledge and information for a firm-level automobile demand forecast system: A machine learning perspective
Sehoon Kim
Journal of Innovation & Knowledge (2023) Vol. 8, Iss. 2, pp. 100355-100355
Open Access | Times Cited: 19
Forecasting electric vehicles sales with univariate and multivariate time series models: The case of China
Yong Zhang, Miner Zhong, Nana Geng, et al.
PLoS ONE (2017) Vol. 12, Iss. 5, pp. e0176729-e0176729
Open Access | Times Cited: 59
Demand forecasting with user-generated online information
Oliver Schaer, Nikolaos Kourentzes, Robert Fildes
International Journal of Forecasting (2018) Vol. 35, Iss. 1, pp. 197-212
Open Access | Times Cited: 57
Sales-forecasting of Retail Stores using Machine Learning Techniques
Akshay Krishna, V. Akhilesh, Animikh Aich, et al.
(2018), pp. 160-166
Closed Access | Times Cited: 54
ForeXGBoost: passenger car sales prediction based on XGBoost
Zhenchang Xia, Shan Xue, Libing Wu, et al.
Distributed and Parallel Databases (2020) Vol. 38, Iss. 3, pp. 713-738
Closed Access | Times Cited: 47
An optimized nonlinear time-varying grey Bernoulli model and its application in forecasting the stock and sales of electric vehicles
Huimin Zhou, Yaoguo Dang, Yingjie Yang, et al.
Energy (2022) Vol. 263, pp. 125871-125871
Open Access | Times Cited: 27
A combination model based on multi-angle feature extraction and sentiment analysis: Application to EVs sales forecasting
Jinpei Liu, Lijuan Chen, Rui Luo, et al.
Expert Systems with Applications (2023) Vol. 224, pp. 119986-119986
Closed Access | Times Cited: 15
Benders’ decomposition for the balancing of assembly lines with stochastic demand
Celso Gustavo Stall Sikora
European Journal of Operational Research (2020) Vol. 292, Iss. 1, pp. 108-124
Closed Access | Times Cited: 32
Predictive Analysis for Big Mart Sales Using Machine Learning Algorithms
P Ranjitha, M. Bhavya Spandana
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2021), pp. 1416-1421
Closed Access | Times Cited: 28
A theory of predictive sales analytics adoption
Johannes Habel, Sascha Alavi, Nicolas Heinitz
AMS Review (2023)
Open Access | Times Cited: 12
The Passenger Car Market in Russia: History, Current Status and Forecast
S. R. Milyakin, N. D. Skubachevskaya, A. V. Migal’
Studies on Russian Economic Development (2025) Vol. 36, Iss. 1, pp. 86-95
Closed Access
Using four different online media sources to forecast the crude oil price
Mohammed Elshendy, Andrea Fronzetti Colladon, Elisa Battistoni, et al.
Journal of Information Science (2017) Vol. 44, Iss. 3, pp. 408-421
Closed Access | Times Cited: 39
Forecasting Monthly Sales Retail Time Series: A Case Study
G. Nunnari, Valeria Nunnari
(2017), pp. 1-6
Closed Access | Times Cited: 31
Exploring the key services and players in the smart car market
Jiyoun Park, Changi Nam, Hye-jin Kim
Telecommunications Policy (2019) Vol. 43, Iss. 10, pp. 101819-101819
Closed Access | Times Cited: 29
Improving the Bass model’s predictive power through online reviews, search traffic and macroeconomic data
Chuan Zhang, Yu‐Xin Tian, Ling-Wei Fan
Annals of Operations Research (2020) Vol. 295, Iss. 2, pp. 881-922
Closed Access | Times Cited: 25
Does the Hashrate Affect the Bitcoin Price?
Dean Fantazzini, Nikita Kolodin
Journal of risk and financial management (2020) Vol. 13, Iss. 11, pp. 263-263
Open Access | Times Cited: 25
Macroeconomic Nowcasting Using Google Probabilities☆
Gary Koop, Luca Onorante
Advances in econometrics (2019), pp. 17-40
Closed Access | Times Cited: 25
A hybrid optimization approach to forecast automobile sales of China
Junjie Gao, Yanan Xie, Gu Feng, et al.
Advances in Mechanical Engineering (2017) Vol. 9, Iss. 8, pp. 168781401771942-168781401771942
Open Access | Times Cited: 25
Research on Forecasting Sales of Pure Electric Vehicles in China Based on the Seasonal Autoregressive Integrated Moving Average–Gray Relational Analysis–Support Vector Regression Model
Ru Qi Yu, Xiaoli Wang, Xiaojun Xu, et al.
Systems (2024) Vol. 12, Iss. 11, pp. 486-486
Open Access | Times Cited: 2
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