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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:

Transformers in Time-Series Analysis: A Tutorial
Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, et al.
Circuits Systems and Signal Processing (2023) Vol. 42, Iss. 12, pp. 7433-7466
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Deep learning in hydrology and water resources disciplines: concepts, methods, applications, and research directions
Kumar Puran Tripathy, Ashok K. Mishra
Journal of Hydrology (2023) Vol. 628, pp. 130458-130458
Closed Access | Times Cited: 87
Insights and reviews on battery lifetime prediction from research to practice
Xudong Qu, Dapai Shi, Jingyuan Zhao, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 716-739
Closed Access | Times Cited: 27
Multimodal data integration for oncology in the era of deep neural networks: a review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 22
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
Ching Chang, Wei‐Yao Wang, Wen-Chih Peng, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Open Access | Times Cited: 2
Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India
Abhinav Dayal, Sridevi Bonthu, Vamsi Nagaraju T, et al.
Results in Engineering (2024) Vol. 21, pp. 101828-101828
Open Access | Times Cited: 14
Machine Learning in Petrology: State-of-the-Art and Future Perspectives
Maurizio Petrelli
Journal of Petrology (2024) Vol. 65, Iss. 5
Open Access | Times Cited: 11
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral image classification
Weilian Zhou, Sei‐ichiro Kamata, Haipeng Wang, et al.
Neurocomputing (2024), pp. 128751-128751
Open Access | Times Cited: 11
Modelling monthly rainfall of India through transformer-based deep learning architecture
G. H. Harish Nayak, Wasi Alam, Kehar Singh, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 3, pp. 3119-3136
Closed Access | Times Cited: 10
Corrosion behavior prediction for hull steels under dynamic marine environments by jointly utilizing LSTM network and PSO-RF model
Haodi Ji, Han Wang, Qian Chen, et al.
Ocean Engineering (2024) Vol. 300, pp. 117371-117371
Closed Access | Times Cited: 9
Comparison of Transformers with LSTM for classification of the behavioural time budget in horses based on video data
Albert Martin-Cirera, M. Nowak, Tomás Norton, et al.
Biosystems Engineering (2024) Vol. 242, pp. 154-168
Open Access | Times Cited: 9
DGMSCL: A dynamic graph mixed supervised contrastive learning approach for class imbalanced multivariate time series classification
Lipeng Qian, Qiong Zuo, Dahu Li, et al.
Neural Networks (2025) Vol. 185, pp. 107131-107131
Closed Access | Times Cited: 1
Energy modeling and predictive control of environmental quality for building energy management using machine learning
Muhammad Faizan Faiz, Muhammad Sajid, Sara Ali, et al.
Energy Sustainable Development/Energy for sustainable development (2023) Vol. 74, pp. 381-395
Closed Access | Times Cited: 17
NPP Accident Prevention: Integrated Neural Network for Coupled Multivariate Time Series Prediction based on PSO and its application under uncertainty analysis for NPP data
Xiao Xiao, Xuan Zhang, Meiqi Song, et al.
Energy (2024) Vol. 305, pp. 132374-132374
Closed Access | Times Cited: 7
From Turing to Transformers: A Comprehensive Review and Tutorial on the Evolution and Applications of Generative Transformer Models
Emma Yann Zhang, Adrian David Cheok, Zhigeng Pan, et al.
Sci (2023) Vol. 5, Iss. 4, pp. 46-46
Open Access | Times Cited: 13
The Explainability of Transformers: Current Status and Directions
Paolo Fantozzi, Maurizio Naldi
Computers (2024) Vol. 13, Iss. 4, pp. 92-92
Open Access | Times Cited: 5
Back to Basics: The Power of the Multilayer Perceptron in Financial Time Series Forecasting
Ana Lazcano, Miguel A. Jaramillo-Morán, Julio E. Sandubete
Mathematics (2024) Vol. 12, Iss. 12, pp. 1920-1920
Open Access | Times Cited: 5
Exogenous variable driven deep learning models for improved price forecasting of TOP crops in India
G. H. Harish Nayak, Md Wasi Alam, K. N. Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Is Mamba effective for time series forecasting?
Zihan Wang, Fanheng Kong, Feng Shi, et al.
Neurocomputing (2024), pp. 129178-129178
Open Access | Times Cited: 5
Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification
Elnaz Vafaei, Mohammad Hosseini
Sensors (2025) Vol. 25, Iss. 5, pp. 1293-1293
Open Access
Automated Drilling and Production Event Detection Using Advanced Time-Series Pattern Recognition Techniques
Abraham C. Montes, Kulpitcha Sudyodprasert, Yuxing Wu, et al.
SPE/IADC International Drilling Conference and Exhibition (2025)
Closed Access
Innovative multistep and synchronous soft sensing prediction of COD and NH3 in WWTPs via multimodal data and multiple attention mechanisms
Junchen Li, Sijie Lin, Liang Zhang, et al.
Water Research (2025) Vol. 278, pp. 123405-123405
Closed Access
Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature
John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Mwalili
International Journal of Mathematics and Mathematical Sciences (2025) Vol. 2025, Iss. 1
Open Access
Signal Super Prediction and Rock Burst Precursor Recognition Framework Based on Guided Diffusion Model with Transformer
Mingyue Weng, Zinan Du, Chuncheng Cai, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3264-3264
Open Access
Learning in Two-Scales Through LSTM-GPT2 Fusion Network: A Hybrid Approach for Time Series Anomaly Detection
Taoyu Wang, Dan Wu, Jun Wang, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1849-1849
Open Access
Transfer Learning on Transformers for Building Energy Consumption Forecasting - A Comparative Study
Robert Spencer, Surangika Ranathunga, Mikael Boulic, et al.
Energy and Buildings (2025), pp. 115632-115632
Open Access
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