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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:

A Survey on Time-Series Pre-Trained Models
Qianli Ma, Zhen Liu, Zhenjing Zheng, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7536-7555
Open Access | Times Cited: 12

Showing 12 citing articles:

An Innovative Foundation Model for Bearing Prognostics and Health Management Through Pre-Trained Large Language Models
Wenxuan Wang, Dan Wang
(2025)
Closed Access
Tourism Demand Forecasting Based on a Hybrid Temporal Neural Network Model for Sustainable Tourism
Yong Cai Zhang, Wee Hoe Tan, Zijian Zeng
Sustainability (2025) Vol. 17, Iss. 5, pp. 2210-2210
Open Access
Dissolved oxygen prediction in the Taiwan Strait with the attention-based multi-teacher knowledge distillation model
Lei Chen, Lin Ye, Minquan Guo, et al.
Ocean & Coastal Management (2025) Vol. 265, pp. 107628-107628
Closed Access
Efficient Tomato Disease Detection Using MaxMin-Diffusion Mechanism and Lightweight Techniques
Haoxin Guo, Jiarui Liu, Yan Li, et al.
Plants (2025) Vol. 14, Iss. 3, pp. 354-354
Open Access
Machine Learning and Deep Learning Paradigms: From Techniques to Practical Applications and Research Frontiers
Kamran Razzaq, Mahmood Shah
Computers (2025) Vol. 14, Iss. 3, pp. 93-93
Open Access
Enhancing wind power generation prediction using relevance assessment-based transfer learning
Yunxuan Dong, Ling Xiao
Knowledge-Based Systems (2024) Vol. 303, pp. 112417-112417
Closed Access | Times Cited: 3
Rethinking self-supervised learning for time series forecasting: A temporal perspective
Shubao Zhao, Xinxing Zhou, Ming Jin, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112652-112652
Closed Access | Times Cited: 2
ParInfoGPT: An LLM-based two-stage framework for reliability assessment of rotating machine under partial information
Zhendong Pang, Yingxin Luan, Jiahong Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110312-110312
Closed Access | Times Cited: 1
A Pre-train and Fine-tune Paradigm of Fault Detection and Fault Prognosis for Chemical Process
Yiming Bai, Jinsong Zhao
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 481-486
Closed Access
Multi-Task Diffusion Learning for Time Series Classification
Shaoqiu Zheng, Zhen Liu, Long Tian, et al.
Electronics (2024) Vol. 13, Iss. 20, pp. 4015-4015
Open Access
TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare
Ziyang Song, Qincheng Lu, Hao Xu, et al.
(2024), pp. 1-10
Open Access
Transformers in Time Series Forecasting: A Brief Transfer Learning Performance Analysis
Witesyavwirwa Vianney Kambale, David Krame Kadurha, Mohamed El Bahnasawi, et al.
(2023), pp. 212-217
Closed Access | Times Cited: 1
Transformers in Time Series Forecasting: A brief Analysis of the Autoformer Transfer Learning Performance
Witesyavwirwa Vianney Kambale, David Krame Kadurha, Ali Deeb, et al.
2021 28th IEEE International Conference on Electronics, Circuits, and Systems (ICECS) (2023), pp. 1-6
Closed Access
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