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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:

Leveraging Comparables for New Product Sales Forecasting
Lennart Baardman, Igor Levin, Georgia Perakis, et al.
SSRN Electronic Journal (2017)
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Dynamic Procurement of New Products with Covariate Information: The Residual Tree Method
Gah‐Yi Ban, Jérémie Gallien, Adam J. Mersereau
Manufacturing & Service Operations Management (2018) Vol. 21, Iss. 4, pp. 798-815
Open Access | Times Cited: 80
Context‐based dynamic pricing with online clustering
Sentao Miao, Xi Chen, Xiuli Chao, et al.
Production and Operations Management (2022) Vol. 31, Iss. 9, pp. 3559-3575
Open Access | Times Cited: 22
Prediction for the Inventory Management Chaotic Complexity System Based on the Deep Neural Network Algorithm
Tengfei Lei, Rita Yi Man Li, Nuttapong Jotikastira, et al.
Complexity (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 12
New product life cycle curve modeling and forecasting with product attributes and promotion: A Bayesian functional approach
Dazhou Lei, Hao Hu, Dongyang Geng, et al.
Production and Operations Management (2022) Vol. 32, Iss. 2, pp. 655-673
Closed Access | Times Cited: 16
Applied Machine Learning in Operations Management
Hamsa Bastani, Dennis Zhang, Heng Zhang
Springer series in supply chain management (2021), pp. 189-222
Closed Access | Times Cited: 20
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail
Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee, et al.
(2020), pp. 281-289
Open Access | Times Cited: 19
Demand Forecasting New Fashion Products: A Review Paper
S. Anitha, R. Neelakandan
Journal of Forecasting (2024)
Open Access | Times Cited: 1
Predictive competitive intelligence with prerelease online search traffic
Oliver Schaer, Nikolaos Kourentzes, Robert Fildes
Production and Operations Management (2022) Vol. 31, Iss. 10, pp. 3823-3839
Open Access | Times Cited: 6
Data Aggregation and Demand Prediction
Maxime C. Cohen, Renyu Zhang, Kevin Jiao
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 7
Dynamic Procurement of New Products with Covariate Information: The Residual Tree Method
Gah‐Yi Ban, Jérémie Gallien, Adam J. Mersereau
SSRN Electronic Journal (2017)
Open Access | Times Cited: 7
Data Analytics in Operations Management: A Review
Velibor V. Mišić, Georgia Perakis
SSRN Electronic Journal (2019)
Open Access | Times Cited: 6
Constructing Demand Curves from a Single Observation of Bundle Sales
Will Ma, David Simchi‐Levi
Lecture notes in computer science (2022), pp. 150-166
Closed Access | Times Cited: 4
Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach
Dazhou Lei, Yongzhi Qi, Sheng Liu, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 2
Peak Period Demand Forecasting with Proxy Data: GNN-Enhanced Meta-Learning
Z. P. Xu, Linjun Zhang, Sitan Yang, et al.
(2024), pp. 726-735
Closed Access
Emergency Medical Supplies Stockpile Policy and Rotation Strategy Study
Jiazhen Huo, Jianjun Zhang, Axel Werwatz, et al.
(2024), pp. 81-119
Closed Access
Predicting with Proxies: Transfer Learning in High Dimension
Hamsa Bastani
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 3
New Product Demand Forecasting Using Hybrid Machine Learning: A Combined Model of K-Means, Ann, and Qrnn
Doohee Chung, Kang-Ho Lee, Yeeun Baek
(2023)
Closed Access | Times Cited: 1
Procurement of New Products: Data-Driven Newsvendor with Profit Risk
Shaochong Lin, Frank Chen, Yanzhi Li, et al.
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 3
Transfer Learning, Cross Learning and Co-Learning Across Newsvendor Systems with Operational Data Analytics (ODA)
Qi Feng, Lei Li, J. George Shanthikumar
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 1
Adaptive Data Acquisition for Personalized Recommender Systems with Optimality Guarantees on Short-Form Video Platforms
Junyu Cao, Yan Leng
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 2
Conclusion and Advanced Topics
Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, et al.
Springer series in supply chain management (2022), pp. 151-155
Closed Access | Times Cited: 1
Ancillary Services in Targeted Advertising: from Prediction to Prescription
Georgia Perakis, Divya Singhvi, Omar Skali Lami, et al.
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 1
Data Analytics in Operations Management: A Review
Velibor V. Mišić, Georgia Perakis
arXiv (Cornell University) (2019)
Closed Access
Use of Data Science for Promotion Optimization in Convenience Chain
Sławomir Mazurowski, Elżbieta Lewańska
Lecture notes in business information processing (2019), pp. 649-660
Closed Access
Extended Sampled Tree Ensembles for Classification and Regression
Georgia Perakis, Divya Singhvi, Omar Skali Lami
SSRN Electronic Journal (2019)
Closed Access
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