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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:

Gold price forecasting using multivariate stochastic model
Lawrence Madziwa, Mallikarjun Pillalamarry, Snehamoy Chatterjee
Resources Policy (2022) Vol. 76, pp. 102544-102544
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Machine learning gold price forecasting
Bingzi Jin, Xiaojie Xu
International Journal of Management Science and Engineering Management (2025), pp. 1-13
Closed Access | Times Cited: 2
Medium- to long-term nickel price forecasting using LSTM and GRU networks
Ali Can Özdemir, Kurtuluş Buluş, Kasım Zor
Resources Policy (2022) Vol. 78, pp. 102906-102906
Closed Access | Times Cited: 53
Deep learning systems for forecasting the prices of crude oil and precious metals
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models
Emrah Gülay, Mustafa Sen, Omer Burak Akgun
Energy (2023) Vol. 286, pp. 129566-129566
Closed Access | Times Cited: 15
A comparative study of hybrid and individual models for predicting the Moroccan MASI index: Integrating machine learning and deep learning approaches
Hamza Kadiri, Hassan Oukhouya, Khalid Belkhoutout
Scientific African (2025), pp. e02671-e02671
Open Access
Hybrid Markov weighted fuzzy kernel time series with red Piranha Walrus optimization for gold price forecasting
Gobind Pillai, M. Immaculate Mary
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 7, pp. 103448-103448
Closed Access
Forecasting on metal resource spot settlement price: New evidence from the machine learning model
Tao Shi, Chongyang Li, Wei Zhang, et al.
Resources Policy (2023) Vol. 81, pp. 103360-103360
Closed Access | Times Cited: 9
Development of a CNN-LSTM Approach with Images as Time-Series Data Representation for Predicting Gold Prices
Margustin Salim, Arif Djunaidy
Procedia Computer Science (2024) Vol. 234, pp. 333-340
Open Access | Times Cited: 3
Statistical analysis of gold production in South Africa using ARIMA, VAR and ARNN modelling techniques: Extrapolating future gold production, Resources–Reserves depletion, and Implication on South Africa's gold exploration
Litshedzani Mutele, Emmanuel John M. Carranza
Resources Policy (2024) Vol. 93, pp. 105076-105076
Closed Access | Times Cited: 3
Forecasting energy spot prices: A multiscale clustering recognition approach
Ranran Li
Resources Policy (2023) Vol. 81, pp. 103320-103320
Closed Access | Times Cited: 7
Cryptocurrency policy uncertainty and gold return forecasting: A dynamic Occam's window approach
Yue Shang, Yu Wei, Yongfei Chen
Finance research letters (2022) Vol. 50, pp. 103251-103251
Closed Access | Times Cited: 12
A novel three-stage hybrid learning paradigm based on a multi-decomposition strategy, optimized relevance vector machine, and error correction for multi-step forecasting of precious metal prices
Jianguo Zhou, Zhongtian Xu
Resources Policy (2022) Vol. 80, pp. 103148-103148
Closed Access | Times Cited: 12
Obtaining Accurate Gold Prices
Amit K. Sinha
Commodities (2024) Vol. 3, Iss. 1, pp. 115-126
Open Access | Times Cited: 2
ARCH-GARCH Analysis: An Approach to Determine The Price Volatility of Red Chili
Etty Puji Lestari, Sucihatiningsih Dian Wisika Prajanti, Wandah Wibawanto, et al.
Agraris Journal of Agribusiness and Rural Development Research (2022) Vol. 8, Iss. 1, pp. 90-105
Open Access | Times Cited: 10
Oil Price Forecasting Using FRED Data: A Comparison between Some Alternative Models
Abdullah Sultan Al Shammre, Benaissa Chidmi
Energies (2023) Vol. 16, Iss. 11, pp. 4451-4451
Open Access | Times Cited: 6
Integrating stochastic mine planning model with ARDL commodity price forecasting
Lawrence Madziwa, Mallikarjun Pillalamarry, Snehamoy Chatterjee
Resources Policy (2023) Vol. 85, pp. 104014-104014
Closed Access | Times Cited: 4
Gold Prices Forecasting Using Recurrent Neural Network with Attention Tuned by Metaheuristics
Andjela Jovanovic, Tea Dogandžić, Miloš Dobrojević, et al.
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023), pp. 345-350
Closed Access | Times Cited: 4
Research on gold price forecasting based on lstm and linear regression
Weichen Gong
SHS Web of Conferences (2024) Vol. 181, pp. 02005-02005
Open Access | Times Cited: 1
Metaheuristic Optimized BiLSTM Univariate Time Series Forecasting of Gold Prices
Andjela Jovanovic, Tea Dogandžić, Luka Jovanovic, et al.
Lecture notes in networks and systems (2024), pp. 221-235
Closed Access | Times Cited: 1
Gold price prediction by a CNN-Bi-LSTM model along with automatic parameter tuning
Amirhossein Amini, Robab Kalantari
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0298426-e0298426
Open Access | Times Cited: 1
Gold Price Prediction Using Skewness and Kurtosis Based Generalized Auto-regressive Conditional Heteroskedasticity Approach with Long Short Term Memory Network
Srilekha Nallamothu, K. Rajyalakshmi, Parthiban Arumugam
Journal of The Institution of Engineers (India) Series B (2024) Vol. 105, Iss. 6, pp. 1715-1727
Closed Access | Times Cited: 1
Gold price prediction based on the Monte Carlo method
Adrijana Jevtić, Dejan Riznić, Miša Tomić
(2024), pp. 201-209
Open Access | Times Cited: 1
Do the credits of the state-owned development and investment bank trigger sustainable economic development? Evidence of İller Bank for Turkey
Mohd Abass Bhat, Emine Kaya, Abdülkadir Barut, et al.
Social Sciences & Humanities Open (2024) Vol. 10, pp. 101147-101147
Open Access | Times Cited: 1
The predictability of iron ore futures prices: A product‐material lead–lag effect
Mengxi He, Yudong Wang, Yaojie Zhang
Journal of Futures Markets (2023) Vol. 43, Iss. 9, pp. 1289-1304
Closed Access | Times Cited: 3
Geometric Brownian Motion in Analyzing Seasonality of Gold Derivative Prices
Germansah Germansah, R. Heru Tjahjana, Ratna Herdiana
Eduvest - Journal Of Universal Studies (2023) Vol. 3, Iss. 8, pp. 1558-1572
Open Access | Times Cited: 2
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