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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:

Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail
Sushil Punia, Κωνσταντίνος Νικολόπουλος, Surya Prakash Singh, et al.
International Journal of Production Research (2020) Vol. 58, Iss. 16, pp. 4964-4979
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions
Κωνσταντίνος Νικολόπουλος, Sushil Punia, Andreas Schäfers, et al.
European Journal of Operational Research (2020) Vol. 290, Iss. 1, pp. 99-115
Open Access | Times Cited: 443
Predictive Analytics for Demand Forecasting – A Comparison of SARIMA and LSTM in Retail SCM
Taha Falatouri, Farzaneh Darbanian, Patrick Brandtner, et al.
Procedia Computer Science (2022) Vol. 200, pp. 993-1003
Open Access | Times Cited: 79
Enhancing supply chain resilience: A machine learning approach for predicting product availability dates under disruption
Mustafa Can Camur, Sandipp Krishnan Ravi, Shadi Saleh
Expert Systems with Applications (2024) Vol. 247, pp. 123226-123226
Open Access | Times Cited: 17
Crop Classification Method Based on Optimal Feature Selection and Hybrid CNN-RF Networks for Multi-Temporal Remote Sensing Imagery
Shuting Yang, Lingjia Gu, Xiaofeng Li, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3119-3119
Open Access | Times Cited: 81
Machine learning for demand forecasting in the physical internet: a case study of agricultural products in Thailand
Anirut Kantasa–ard, Maroua Nouiri, Abdelghani Bekrar, et al.
International Journal of Production Research (2020) Vol. 59, Iss. 24, pp. 7491-7515
Closed Access | Times Cited: 71
A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting
Reuben Varghese Joseph, Anshuman Mohanty, Soumyae Tyagi, et al.
Computers & Electrical Engineering (2022) Vol. 103, pp. 108358-108358
Closed Access | Times Cited: 55
Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions
Mahmoud M. Bassiouni, Ripon K. Chakrabortty, Omar Khadeer Hussain, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118604-118604
Open Access | Times Cited: 54
Deep learning applications in manufacturing operations: a review of trends and ways forward
Saumyaranjan Sahoo, Satish Kumar, Mohammad Zoynul Abedin, et al.
Journal of Enterprise Information Management (2022) Vol. 36, Iss. 1, pp. 221-251
Closed Access | Times Cited: 53
A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach
Arnab Mitra, Arnav Jain, Avinash Kishore, et al.
Operations Research Forum (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 47
Predictive analytics for demand forecasting: A deep learning-based decision support system
Sushil Punia, Sonali Shankar
Knowledge-Based Systems (2022) Vol. 258, pp. 109956-109956
Closed Access | Times Cited: 46
Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis
Majid Azadi, Saeed Yousefi, Reza Farzipoor Saen, et al.
Journal of Business Research (2022) Vol. 154, pp. 113357-113357
Closed Access | Times Cited: 44
Review and analysis of artificial intelligence methods for demand forecasting in supply chain management
Mario Angos Mediavilla, Fabian Dietrich, Daniel Palm
Procedia CIRP (2022) Vol. 107, pp. 1126-1131
Open Access | Times Cited: 41
Leveraging digital technology in retailing business: Unboxing synergy between omnichannel retail adoption and sustainable retail performance
Manjunath S. Vhatkar, Rakesh D. Raut, Ravindra Gokhale, et al.
Journal of Retailing and Consumer Services (2024) Vol. 81, pp. 104047-104047
Closed Access | Times Cited: 13
Deep learning approaches to identify order status in a complex supply chain
Mahmoud M. Bassiouni, Ripon K. Chakrabortty, Karam M. Sallam, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123947-123947
Open Access | Times Cited: 9
We need to talk about intermittent demand forecasting
Κωνσταντίνος Νικολόπουλος
European Journal of Operational Research (2020) Vol. 291, Iss. 2, pp. 549-559
Open Access | Times Cited: 64
A cross-temporal hierarchical framework and deep learning for supply chain forecasting
Sushil Punia, Surya Prakash Singh, Jitendra Madaan
Computers & Industrial Engineering (2020) Vol. 149, pp. 106796-106796
Closed Access | Times Cited: 53
Bankruptcy or Success? The Effective Prediction of a Company’s Financial Development Using LSTM
Marek Vochоzka, Jaromír Vrbka, Petr Šuleř
Sustainability (2020) Vol. 12, Iss. 18, pp. 7529-7529
Open Access | Times Cited: 51
Toward Smart Lockdown: A Novel Approach for COVID-19 Hotspots Prediction Using a Deep Hybrid Neural Network
Sultan Daud Khan, Louai Alarabi, Saleh Basalamah
Computers (2020) Vol. 9, Iss. 4, pp. 99-99
Open Access | Times Cited: 50
Soft sensor of flotation froth grade classification based on hybrid deep neural network
Dingsen Zhang, Xianwen Gao
International Journal of Production Research (2021) Vol. 59, Iss. 16, pp. 4794-4810
Closed Access | Times Cited: 40
Energy Consumption Forecasting for the Digital-Twin Model of the Building
Joanna Henzel, Łukasz Wróbel, Marcin Fice, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4318-4318
Open Access | Times Cited: 34
Comparison of tree-based model with deep learning model in predicting effluent pH and concentration by capacitive deionization
Zahid Ullah, Nakyung Yoon, Bethwel Kipchirchir Tarus, et al.
Desalination (2023) Vol. 558, pp. 116614-116614
Closed Access | Times Cited: 17
Comparison of different predictive models and their effectiveness in sunspot number prediction
Sayed S R Moustafa, Sara S Khodairy
Physica Scripta (2023) Vol. 98, Iss. 4, pp. 045022-045022
Closed Access | Times Cited: 16
A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems
Syeda Sitara Wishal Fatima, Afshin Rahimi
Machines (2024) Vol. 12, Iss. 6, pp. 380-380
Open Access | Times Cited: 6
Integrating ESG Principles into Smart Logistics: Toward Sustainable Supply Chains
Leogrande Angelo
(2025)
Open Access
A novel sales forecast framework based on separate feature extraction and reconciliation under hierarchical constraint
Xingyou Yan, Heng Zhang, Qiang Miao
Computers & Industrial Engineering (2025), pp. 110875-110875
Closed Access
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