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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:

The consumer price index prediction using machine learning approaches: Evidence from the United States
Tien-Thinh Nguyen, Hong-Giang Nguyen, Jen‐Yao Lee, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20730-e20730
Open Access | Times Cited: 16

Showing 16 citing articles:

ARIMA Modeling and Forecasting of National Consumer Price Index in Nepal
Omkar Poudel, Khom Raj Kharel, Pradeep Acharya, et al.
Interdisciplinary Journal of Management and Social Sciences (2024) Vol. 5, Iss. 1, pp. 105-118
Open Access | Times Cited: 5
Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach
Yunus Emre Gür
Data Science in Finance and Economics (2024) Vol. 4, Iss. 4, pp. 469-513
Open Access | Times Cited: 3
Comparative Analysis of AI-Predicted and Crowdsourced Food Prices in an Economically Volatile Region
Julius Adewopo, Bo Pieter Johannes Andrée, Helen Peter, et al.
Washington, DC: World Bank eBooks (2024)
Closed Access | Times Cited: 1
Predicting Consumer Price Index amidst uncertainty: Gaussian Random Fuzzy Number-based Evidential Neural Network for West African economies with COVID-19 and Russia–Ukraine war dynamics
Sagiru Mati, Goran Yousif Ismael, Abdullahi Ahmed Mohammed, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109004-109004
Closed Access | Times Cited: 1
FORECASTING CONSUMER PRICE INDEX USING MACROECONOMIC VARIABLES: A COMPARATIVE ANALYSIS OF MACHINE LEARNING AND DEEP LEARNING APPROACHES
Ahmed İhsan Şimşek
Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi (2024), Iss. 28, pp. 15-29
Open Access | Times Cited: 1
Comparison of ARIMA and Deep Learning Models for Forecasting the Consumer Price Index in Uzbekistan: Using R Packages
Odiljon Rikhsimbaev, Akram Ishnazarov, Sarvar Mamasoliyev
(2023), pp. 562-569
Open Access | Times Cited: 2
Consumer Price Index Forecasting in Turkey: A Comparison of Deep Learning and Machine Learning Approaches
Yunus Emre Gür
Iğdır üniversitesi sosyal bilimler dergisi (2024), Iss. 36, pp. 312-344
Open Access
Enhancing Forecasting Precision in Indian Industrial Workers' Inflation: A Comparison of Advanced Machine Learning Models
V Amirthavarshini, Soumyendra Singh, R Prasanna Kumar
(2024), pp. 1-5
Closed Access
Machine learning methods in evaluating the impact of economic factors on the consumer price index in Albania
Lule Basha, Llukan Puka
CRJ (2024), Iss. 1, pp. 5-11
Open Access
Evaluating the Influence of ESG Ratings on the Corporate Operational Performance: Evidence from Commercial Banks in China
Honglin Wang
(2024)
Open Access
Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach
Yunus Emre Gür
Data Science in Finance and Economics (2024) Vol. 4, Iss. 4, pp. 469-513
Open Access
Forecasting CPI and PPI Using Commodity Prices and Crude Oil Prices: A Comparison of China and United States
Yitong He, Linru Yang, Lei Chen
Modern Economy (2024) Vol. 15, Iss. 11, pp. 1063-1072
Open Access
Predictive analysis of Somalia’s economic indicators using advanced machine learning models
Bashir Mohamed Osman, Abdillahi Mohamoud Sheikh Muse
Cogent Economics & Finance (2024) Vol. 12, Iss. 1
Open Access
A New Strategy for Constructing Alternative Consumer Confidence Indexes to Explain Household Consumption: A Fuzzy DEMATEL Approach
Özge Var, Alptekin Durmuşoğlu, Türkay Dereli
Heliyon (2024) Vol. 11, Iss. 2, pp. e41447-e41447
Open Access
Refined and Segmented Price Sentiment Indices from Survey Comments
Masahiro Suzuki, Hiroki Sakaji
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6642-6650
Open Access
CPI Index Prediction Based on SARIMA-LSTM-CatBoost Model
Jiaqi Liang, Zhao Yanru
(2024), pp. 1076-1082
Closed Access
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