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 Efficient Training of Transformers
Bohan Zhuang, Jing Liu, Zizheng Pan, et al.
(2023), pp. 6823-6831
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 46

A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking
Lorenzo Papa, Paolo Russo, Irene Amerini, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 7682-7700
Open Access | Times Cited: 14

AI Computing Systems for Large Language Models Training
Zhenxing Zhang, Yuanbo Wen, Hairong Lyu, et al.
Journal of Computer Science and Technology (2025) Vol. 40, Iss. 1, pp. 6-41
Closed Access | Times Cited: 1

SleePyCo: Automatic sleep scoring with feature pyramid and contrastive learning
Seongju Lee, Yeonguk Yu, Seunghyeok Back, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122551-122551
Open Access | Times Cited: 18

Artificial intelligence perspectives: A systematic literature review on modeling, control, and optimization of fluid catalytic cracking
Mustapha Kamel Khaldi, Mujahed Al‐Dhaifallah, Othman Taha
Alexandria Engineering Journal (2023) Vol. 80, pp. 294-314
Open Access | Times Cited: 16

Towards Diverse Binary Segmentation via a Simple yet General Gated Network
Xiaoqi Zhao, Youwei Pang, Lihe Zhang, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 10, pp. 4157-4234
Closed Access | Times Cited: 6

On Efficient Training of Large-Scale Deep Learning Models
Li Shen, Yan Sun, Zhiyuan Yu, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 3, pp. 1-36
Open Access | Times Cited: 4

Transformer-Based Models for Sentiment Analysis of Youtube Video Comments
Oussama El Azzouzy, Tarik Chanyour, Said Jai Andaloussi
(2025)
Closed Access

From separation to fusion: Screening-assisted bilevel collaborative evolutionary optimization for railway freight allocation
Yiyin Tang, Yalin Wang, Chenliang Liu, et al.
Neurocomputing (2025), pp. 129910-129910
Closed Access

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: 11

Ultra-Lightweight Feature-Compressed Multi-Head Self-Attention Learning Networks for Hyperspectral Image Classification
Xinhao Li, Mingming Xu, Shanwei Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-14
Closed Access | Times Cited: 3

Dual-input ultralight multi-head self-attention learning network for hyperspectral image classification
Xinhao Li, Mingming Xu, Shanwei Liu, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 4, pp. 1277-1303
Closed Access | Times Cited: 1

Precise Adverse Weather Characterization by Deep-Learning-Based Noise Processing in Automotive LiDAR Sensors
Marcel Kettelgerdes, Nicolas Sarmiento, Hüseyin Erdogan, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2407-2407
Open Access | Times Cited: 1

A survey of emerging applications of large language models for problems in mechanics, product design, and manufacturing
K.B. Mustapha
Advanced Engineering Informatics (2024) Vol. 64, pp. 103066-103066
Closed Access | Times Cited: 1

Bibliography

Elsevier eBooks (2024), pp. 263-274
Closed Access

Designing an Automated Machine Learning Approach for Transformer Architecture in Education and Non-STEM Research Settings
Luke Gassmann, Jimmy Campbell
Lecture notes in networks and systems (2024), pp. 182-200
Closed Access

Understanding Multi-Dimensional Efficiency of Fine-Tuning Large Language Models Using SpeedUp, MemoryUp, and EnergyUp
Dayuan Chen, Noe Soto, Jonas F. Tuttle, et al.
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2024), pp. 929-937
Closed Access

AWNet: Negative Obstacle Semantic Segmentation Network Based on Adaptive Weight Loss
Jiarui Zhao, Guizhen Yu, Jie Wang, et al.
(2024), pp. 1-6
Closed Access

CATS: Contrastive learning for Anomaly detection in Time Series
Joël Roman Ky, Bertrand Mathieu, Abdelkader Lahmadi, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1352-1359
Open Access

CSformer: Enhancing deep learning efficiency for intelligent IoT
Xu Jia, Han Wu, Ruochen Zhang, et al.
Computer Communications (2023) Vol. 214, pp. 33-45
Closed Access | Times Cited: 1

A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking
Lorenzo Papa, Paolo Russo, Irene Amerini, et al.
arXiv (Cornell University) (2023)
Open Access

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