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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.

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Showing 25 citing articles:

A consumer acceptance model in the artificial intelligence era
Paritosh Pramanik, Rabin K. Jana
Management Decision (2025)
Closed Access | Times Cited: 1
Taming energy and electronic waste generation in bitcoin mining: Insights from Facebook prophet and deep neural network
Rabin K. Jana, Indranil Ghosh, Martin W. Wallin
Technological Forecasting and Social Change (2022) Vol. 178, pp. 121584-121584
Closed Access | Times Cited: 37
Forecasting Natural Gas Futures Prices Using Hybrid Machine Learning Models During Turbulent Market Conditions: The Case of the Russian–Ukraine Crisis
Pavan Kumar Nagula, Christos Alexakis
Journal of Forecasting (2025)
Closed Access
Prediction and decoding of metaverse coin dynamics: a granular quest using MODWT-Facebook’s prophet-TBATS and XAI methodology
Indranil Ghosh, Amith Vikram Megaravalli, Mohammad Zoynul Abedin, et al.
Annals of Operations Research (2025)
Open Access
Machine learning technologies on energy economics and finance in times of crisis
M. Kabir Hassan, Mohammad Zoynul Abedin
Annals of Operations Research (2025)
Open Access
A robust, resilience machine learning with risk approach: a case study of gas consumption
Reza Lotfi, Mehdi Changizi, Pedram MohajerAnsari, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 4
A granular machine learning framework for forecasting high-frequency financial market variables during the recent black swan event
Indranil Ghosh, Rabin K. Jana
Technological Forecasting and Social Change (2023) Vol. 194, pp. 122719-122719
Closed Access | Times Cited: 11
Clean energy stock price forecasting and response to macroeconomic variables: A novel framework using Facebook's Prophet, NeuralProphet and explainable AI
Indranil Ghosh, Rabin K. Jana
Technological Forecasting and Social Change (2023) Vol. 200, pp. 123148-123148
Closed Access | Times Cited: 11
A novel granular decomposition based predictive modeling framework for cryptocurrencies' prices forecasting
Indranil Ghosh, Rabin K. Jana, Dinesh K. Sharma
China Finance Review International (2024) Vol. 14, Iss. 4, pp. 759-790
Closed Access | Times Cited: 2
Modelling financial stress during the COVID-19 pandemic: Prediction and deeper insights
Indranil Ghosh, Rabin K. Jana, David Roubaud, et al.
International Review of Economics & Finance (2024) Vol. 91, pp. 680-698
Closed Access | Times Cited: 2
Understanding Worldwide Natural Gas Trade Flow for 2017 to 2022: A Network-Based Approach
Jovana Marojevikj, Ana Todorovska, Irena Vodenska, et al.
Communications in computer and information science (2024), pp. 173-190
Closed Access | Times Cited: 2
Enhancing Trading Decision in Financial Markets: An Algorithmic Trading Framework With Continual Mean-Variance Optimization, Window Presetting, and Controlled Early-Stopping
Cristiana Tudor, Robert Şova
IEEE Access (2024) Vol. 12, pp. 87633-87644
Open Access | Times Cited: 2
Incorporating causality in energy consumption forecasting using deep neural networks
Kshitij Sharma, Yogesh K. Dwivedi, Bhimaraya Metri
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 537-572
Open Access | Times Cited: 11
Comparative analysis of deep learning and classical time series methods to forecast natural gas demand during COVID-19 pandemic
Zeynep Ceylan
Energy Sources Part B Economics Planning and Policy (2023) Vol. 18, Iss. 1
Closed Access | Times Cited: 5
The role of cryptocurrencies in predicting oil prices pre and during COVID-19 pandemic using machine learning
Bassam A. Ibrahim, Ahmed A. Elamer, Hussein A. Abdou
Annals of Operations Research (2022)
Open Access | Times Cited: 9
Seasonality in commodity prices: new approaches for pricing plain vanilla options
Carme Frau, Viviana Fanelli
Annals of Operations Research (2023) Vol. 336, Iss. 1-2, pp. 1089-1131
Open Access | Times Cited: 4
COVID-19 Media Chatter and Macroeconomic Reflectors on Black Swan: A Spanish and Indian Stock Markets Comparison
Indranil Ghosh, Esteban Alfaro, Matías Gámez, et al.
Risks (2023) Vol. 11, Iss. 5, pp. 94-94
Open Access | Times Cited: 4
Maritime Fuel Price Prediction of European Ports using Least Square Boosting and Facebook Prophet: Additional Insights from Explainable Artificial Intelligence
Indranil Ghosh, Arijit De
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 189, pp. 103686-103686
Open Access | Times Cited: 1
A Machine-Learning-Based Approach for Natural Gas Futures Curve Modeling
Oleksandr Castello, Marina Resta
Energies (2023) Vol. 16, Iss. 12, pp. 4746-4746
Open Access | Times Cited: 3
An explainable AI-enabled granular ensemble machine learning framework to demystify fertilizer price movements
Rabin K. Jana, Indranil Ghosh, P.N. Ram Kumar
Journal of the Operational Research Society (2023) Vol. 75, Iss. 8, pp. 1569-1586
Closed Access | Times Cited: 3
Interpretable multi-hop knowledge reasoning for gastrointestinal disease
Dujuan Wang, Xinwei Wang, Mohammad Zoynul Abedin, et al.
Annals of Operations Research (2023)
Closed Access | Times Cited: 2
Enablers of new business density: a comparison between developed and developing countries using deep learning and explainable AI
Paritosh Pramanik, Rabin K. Jana, Indranil Ghosh
Benchmarking An International Journal (2024)
Closed Access
Predictability of Metaverse Coins Using an Advanced Machine Learning Approach
Rabin K. Jana
Transactions on computer systems and networks (2024), pp. 1-13
Closed Access
A Machine Learning Approach for Forecasting Energy Use in the Transportation Sector of the USA
Rabin K. Jana, B. Chakraborty
Transactions on computer systems and networks (2024), pp. 289-301
Closed Access
Seasonality in Commodity Prices: New Approaches for Pricing Plain Vanilla Options
Carme Frau, Viviana Fanelli
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 1
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