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:

Using Machine Learning Methods to Predict Consumer Confidence from Search Engine Data
Huijian Han, Zhiming Li, Zongwei Li
Sustainability (2023) Vol. 15, Iss. 4, pp. 3100-3100
Open Access | Times Cited: 6

Showing 6 citing articles:

A Full Life Cycle Prediction Method for Supply Chain Carbon Emissions Based on Integrated Deep Learning
Tang Bao, Nian Liu, Zheng Dong, et al.
(2024), pp. 2070-2073
Closed Access | Times Cited: 1

Converging Theories
Luzia Arantes, Sandra Barbosa Costa
Advances in marketing, customer relationship management, and e-services book series (2024), pp. 223-256
Closed Access | Times Cited: 1

Machine Learning Approaches for Forecasting Financial Market Volatility
Itishree Behera, Pragyan Nanda, Soma Mitra, et al.
Intelligent systems reference library (2024), pp. 431-451
Closed Access

Integrated Systematic Framework for Forecasting China’s Consumer Confidence: A Machine Learning Approach
Yu‐Cheng Lin, Bongsuk Sung, Sang-Do Park
Systems (2024) Vol. 12, Iss. 11, pp. 445-445
Open Access

Predicting the Shanghai Composite Index Using Chinese TikTok Self‐Media Data and Machine Learning Model in China
LI Zhi-ming, Huijian Han, Li Zongwei, et al.
Discrete Dynamics in Nature and Society (2024) Vol. 2024, Iss. 1
Open Access

Forecasting the Consumer Confidence Index for Economic Conditions Prediction in Ambon, Indonesia
Fausania Hibatullah, Destri Susilaningrum
IPTEK Journal of Engineering (2023) Vol. 9, Iss. 2, pp. 57-57
Open Access

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