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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:

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: 10

Showing 10 citing articles:

A consumer acceptance model in the artificial intelligence era
Paritosh Pramanik, Rabin K. Jana
Management Decision (2025)
Closed Access | Times Cited: 1
Country-level energy-related uncertainties and stock market returns: Insights from the U.S. and China
Xincheng Zhang
Technological Forecasting and Social Change (2024) Vol. 204, pp. 123437-123437
Closed Access | Times Cited: 7
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
CATL's stock price forecasting and its derived option pricing: a novel extended fNSDE-net method
Qi Xiao, Tianyao Duan, Lihua Wang, et al.
AIMS Mathematics (2025) Vol. 10, Iss. 2, pp. 2444-2465
Open Access
Explainable Artificial Intelligence for Business and Economics: Methods, Applications and Challenges
Qi Lyu, Shaomin Wu
Expert Systems (2025) Vol. 42, Iss. 4
Open Access
ESG stock markets and clean energy prices prediction: Insights from advanced machine learning
Fahmi Ghallabi, Bilel Souissi, Min Du, et al.
International Review of Financial Analysis (2024), pp. 103889-103889
Open Access | Times Cited: 3
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
Hybrid DE-Optimized GPR and NARX/SVR Models for Forecasting Gold Spot Prices: A Case Study of the Global Commodities Market
Esperanza García–Gonzalo, P.J. Garcı́a Nieto, Gregorio Fidalgo Valverde, et al.
Mathematics (2024) Vol. 12, Iss. 7, pp. 1039-1039
Open Access
How important are climate change risks for predicting clean energy stock prices? Evidence from machine learning predictive modeling and interpretation
Syed Abul Basher, Perry Sadorsky
Journal of Climate Finance (2024), pp. 100058-100058
Closed Access
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
Artificial Intelligence in Islamic Finance: Forecasting Stock Indices with Neural Prophet
Muksalmina Muksalmina, Ghazi Mauer Idroes, Aga Maulana
Indatu Journal of Management and Accounting (2024) Vol. 2, Iss. 2, pp. 68-80
Closed Access
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