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:

Applied Linguistics With Red-Tailed Hawk Optimizer-Based Ensemble Learning Strategy in Natural Language Processing
Hala J. Alshahrani, Abdulkhaleq Q. A. Hassan, Nabil Sharaf Almalki, et al.
IEEE Access (2023) Vol. 11, pp. 132448-132456
Open Access | Times Cited: 5

Showing 5 citing articles:

A Multibranch LSTM-Attention Ensemble Classification Network for Sensor Drift Compensation
Zhifang Liang, Dongming Chen, Liu Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 25830-25841
Closed Access | Times Cited: 2

ERTH scheduler: enhanced red-tailed hawk algorithm for multi-cost optimization in cloud task scheduling
Xinqi Qin, Shaobo Li, Jian Tong, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 1

Enhancing Natural Language Processing Using Walrus Optimizer with Self-Attention Deep Learning Model in Applied Linguistics
Abdulkhaleq Q. A. Hassan, Alya Alshammari, Belal Zaqaibeh, et al.
Fractals (2024) Vol. 32, Iss. 09n10
Closed Access

Deep learning-based natural language processing in human–agent interaction: Applications, advancements and challenges
Nafiz Ahmed, Anik Saha, Md. Abdullah Al Noman, et al.
Natural Language Processing Journal (2024) Vol. 9, pp. 100112-100112
Open Access

A new weighted ensemble model-based method for text implication recognition
Huimin Zhao, Jinyu Zhu, Wu Deng
Multimedia Tools and Applications (2024) Vol. 83, Iss. 39, pp. 86983-86998
Closed Access

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