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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:

Price forecasting in the precious metal market: A multivariate EMD denoising approach
Kaijian He, Yanhui Chen, Kwok Fai Tso
Resources Policy (2017) Vol. 54, pp. 9-24
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 50
Carbon price prediction using multiple hybrid machine learning models optimized by genetic algorithm
Ozan Nadirgil
Journal of Environmental Management (2023) Vol. 342, pp. 118061-118061
Closed Access | Times Cited: 43
Platinum and palladium price forecasting through neural networks
Xiaojie Xu, Yun Zhang
Communications in Statistics - Simulation and Computation (2024), pp. 1-15
Closed Access | Times Cited: 19
A hybrid model using signal processing technology, econometric models and neural network for carbon spot price forecasting
Jinliang Zhang, Dezhi Li, Yu Hao, et al.
Journal of Cleaner Production (2018) Vol. 204, pp. 958-964
Closed Access | Times Cited: 139
Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory
Marta Matyjaszek, Pedro Riesgo Fernández, Alicja Krzemień, et al.
Resources Policy (2019) Vol. 61, pp. 283-292
Closed Access | Times Cited: 88
Spillovers among sovereign CDS, stock and commodity markets: A correlation network perspective
Xiaolei Sun, Jun Wang, Yanzhen Yao, et al.
International Review of Financial Analysis (2019) Vol. 68, pp. 101271-101271
Closed Access | Times Cited: 88
Carbon price prediction based on modified wavelet least square support vector machine
Wei Sun, Chang Xu
The Science of The Total Environment (2020) Vol. 754, pp. 142052-142052
Closed Access | Times Cited: 86
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
A novel joint denoising method for gear fault diagnosis with improved quaternion singular value decomposition
Yanli Ma, Junsheng Cheng
Measurement (2024) Vol. 226, pp. 114165-114165
Closed Access | Times Cited: 9
Assessing the inflation hedging of gold and palladium in OECD countries
Afees A. Salisu, Umar B. Ndako, Tirimisiyu F. Oloko
Resources Policy (2019) Vol. 62, pp. 357-377
Closed Access | Times Cited: 61
A multi-scale method for forecasting oil price with multi-factor search engine data
Ling Tang, Chengyuan Zhang, Ling Li, et al.
Applied Energy (2019) Vol. 257, pp. 114033-114033
Closed Access | Times Cited: 60
Structural analysis and forecast of gold price returns
Jian Chai, Chenyu Zhao, Yi Hu, et al.
Journal of Management Science and Engineering (2021) Vol. 6, Iss. 2, pp. 135-145
Open Access | Times Cited: 49
Fuzzy Rule-Based Prediction of Gold Prices using News Affect
Petr Hájek, Josef Novotný
Expert Systems with Applications (2022) Vol. 193, pp. 116487-116487
Open Access | Times Cited: 36
A novel multi-factor & multi-scale method for PM2.5 concentration forecasting
Wenyan Yuan, Kaiqi Wang, Xin Bo, et al.
Environmental Pollution (2019) Vol. 255, pp. 113187-113187
Closed Access | Times Cited: 46
A new secondary decomposition-ensemble approach with cuckoo search optimization for air cargo forecasting
Hongtao Li, Juncheng Bai, Xiang Cui, et al.
Applied Soft Computing (2020) Vol. 90, pp. 106161-106161
Closed Access | Times Cited: 39
Forecasting China’s sovereign CDS with a decomposition reconstruction strategy
Jianping Li, Jun Hao, Xiaolei Sun, et al.
Applied Soft Computing (2021) Vol. 105, pp. 107291-107291
Closed Access | Times Cited: 35
A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction
Yu Lin, Qidong Liao, Zixiao Lin, et al.
Resources Policy (2022) Vol. 78, pp. 102884-102884
Closed Access | Times Cited: 25
Monthly ship price forecasting based on multivariate variational mode decomposition
Zicheng Wang, Liren Chen, Huayou Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106698-106698
Closed Access | Times Cited: 14
Modeling and forecasting time series of precious metals: a new approach to multifractal data
Emrah Oral, Gazanfer Ünal
Financial Innovation (2019) Vol. 5, Iss. 1
Open Access | Times Cited: 37
Forecast on silver futures linked with structural breaks and day-of-the-week effect
Wenlan Li, Yuxiang Cheng, Qiang Fang
The North American Journal of Economics and Finance (2020) Vol. 53, pp. 101192-101192
Closed Access | Times Cited: 34
The role of precious metals in portfolio diversification during the Covid19 pandemic: A wavelet-based quantile approach
Huthaifa Alqaralleh, Alessandra Canepa
Resources Policy (2021) Vol. 75, pp. 102532-102532
Open Access | Times Cited: 28
A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting
Zhengling Zhao, Shaolong Sun, Jingyun Sun, et al.
Energy (2023) Vol. 288, pp. 129740-129740
Closed Access | Times Cited: 12
Machine learning platinum price predictions
Bingzi Jin, Xiaojie Xu
The Engineering Economist (2025), pp. 1-27
Closed Access
Crude oil risk forecasting: New evidence from multiscale analysis approach
Kaijian He, Kwok Fai Tso, Yingchao Zou, et al.
Energy Economics (2018) Vol. 76, pp. 574-583
Open Access | Times Cited: 37
Influence of different factors on prices of upstream, middle and downstream products in China's whole steel industry chain: Based on Adaptive Neural Fuzzy Inference System
Yanxin Liu, Huajiao Li, Jianhe Guan, et al.
Resources Policy (2018) Vol. 60, pp. 134-142
Closed Access | Times Cited: 32
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