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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:

Feature-based intermittent demand forecast combinations: accuracy and inventory implications
Li Li, Yanfei Kang, Fotios Petropoulos, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 22, pp. 7557-7572
Closed Access | Times Cited: 10

Showing 10 citing articles:

Fast scheduling of human-robot teams collaboration on synchronised production-logistics tasks in aircraft assembly
Daqiang Guo
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102620-102620
Closed Access | Times Cited: 16
A machine learning study to improve the reliability of project cost estimates
Timur Narbaev, Öncü Hazır, Balzhan Khamitova, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 12, pp. 4372-4388
Open Access | Times Cited: 8
Sales forecasting of a food and beverage company using deep clustering frameworks
Rony Mitra, Priyam Saha, Manoj Kumar Tiwari
International Journal of Production Research (2023) Vol. 62, Iss. 9, pp. 3320-3332
Closed Access | Times Cited: 6
An approach for radical innovative design based on cross-domain technology mining in patents
Fei Yu, FU Jin-feng, Jing Guo, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 21, pp. 7502-7523
Closed Access | Times Cited: 9
A hybrid LSTM method for forecasting demands of medical items in humanitarian operations
Marwa Hasni, M. Zied Babaï, Bahman Rostami-Tabar
International Journal of Production Research (2024) Vol. 62, Iss. 17, pp. 6046-6063
Closed Access | Times Cited: 1
Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?
Bohan Zhang, Anastasios Panagiotelis, Han Li
International Journal of Forecasting (2024)
Open Access | Times Cited: 1
Forecasting Large Collections of Time Series: Feature-Based Methods
Li Li, Feng Li, Yanfei Kang
Palgrave advances in the economics of innovation and technology (2023), pp. 251-276
Closed Access | Times Cited: 2
An aggregate–disaggregate framework for forecasting intermittent demand in fast fashion retailing
Xin Song, Daofang Chang, Yinping Gao, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103069-103069
Closed Access
Combined Forecasts of Intermittent Demand for Stock-keeping Units (SKUs)
Aysun Kapucugil İkiz, Gizem Halil Utma
World Journal of Applied Economics (2023) Vol. 9, Iss. 1, pp. 1-31
Open Access
When is the next order? Nowcasting channel inventories with Point-of-Sales data to predict the timing of retail orders
Tim Schlaich, Kai Hoberg
European Journal of Operational Research (2023) Vol. 315, Iss. 1, pp. 35-49
Closed Access
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