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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 New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism
Qianqian Wang, Liu Fang-ai, Shuning Xing, et al.
Computational and Mathematical Methods in Medicine (2018) Vol. 2018, pp. 1-11
Open Access | Times Cited: 21

Showing 21 citing articles:

Identifying machine learning techniques for classification of target advertising
Jin-A Choi, Kiho Lim
ICT Express (2020) Vol. 6, Iss. 3, pp. 175-180
Open Access | Times Cited: 102
Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners
Luis Bote-Curiel, Sergio Muñoz-Romero, Alicia Gerrero-Curieses, et al.
Applied Sciences (2019) Vol. 9, Iss. 11, pp. 2331-2331
Open Access | Times Cited: 97
Interpretable Click-Through Rate Prediction through Hierarchical Attention
Zeyu Li, Wei Cheng, Yang Chen, et al.
(2020), pp. 313-321
Open Access | Times Cited: 97
Click-through rate prediction in online advertising: A literature review
Yanwu Yang, Panyu Zhai
Information Processing & Management (2022) Vol. 59, Iss. 2, pp. 102853-102853
Open Access | Times Cited: 67
User Response Prediction in Online Advertising
Zhabiz Gharibshah, Xingquan Zhu
ACM Computing Surveys (2021) Vol. 54, Iss. 3, pp. 1-43
Open Access | Times Cited: 46
A CTR prediction model based on user interest via attention mechanism
Hao Li, Huichuan Duan, Yuanjie Zheng, et al.
Applied Intelligence (2020) Vol. 50, Iss. 4, pp. 1192-1203
Closed Access | Times Cited: 38
Classification of Cyber-Aggression Cases Applying Machine Learning
Guadalupe O. Gutiérrez-Esparza, Maité Vallejo, José Hernández-Torruco
Applied Sciences (2019) Vol. 9, Iss. 9, pp. 1828-1828
Open Access | Times Cited: 36
A Hierarchical Attention Model for CTR Prediction Based on User Interest
Qianqian Wang, Liu Fang-ai, Pu Huang, et al.
IEEE Systems Journal (2019) Vol. 14, Iss. 3, pp. 4015-4024
Closed Access | Times Cited: 22
Recommendation Based on Users’ Long-Term and Short-Term Interests with Attention
Qiaoqiao Tan, Liu Fang-ai
Mathematical Problems in Engineering (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 15
Usability and Security Testing of Online Links: A Framework for Click-Through Rate Prediction Using Deep Learning
Robertas Damaševičius, Ligita Zailskaitė‐Jakštė
Electronics (2022) Vol. 11, Iss. 3, pp. 400-400
Open Access | Times Cited: 7
Click-Through Rate Prediction in Online Advertising: A Literature Review
Yanwu Yang, Panyu Zhai
SSRN Electronic Journal (2022)
Open Access | Times Cited: 7
Click Through Rate Effectiveness Prediction on Mobile Ads Using Extreme Gradient Boosting
Moneera AlAli, Maram AlQahtani, Azizah AlJuried, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 66, Iss. 2, pp. 1681-1696
Open Access | Times Cited: 10
Estimating user response rate using locality sensitive hashing in search marketing
Maryam Almasharawi, Ahmet Bulut
Electronic Commerce Research (2021) Vol. 22, Iss. 1, pp. 37-51
Closed Access | Times Cited: 5
Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework
Iosif Viktoratos, Athanasios Tsadiras
Information (2021) Vol. 12, Iss. 11, pp. 480-480
Open Access | Times Cited: 5
Session interest model for CTR prediction based on self-attention mechanism
Qianqian Wang, Liu Fang-ai, Xiaohui Zhao, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 3
Advertisement Click Fraud Detection Using Machine Learning Techniques
Harsha Chari, Shailendra Aswale, Vijaykumar Naik Pawar, et al.
2021 International Conference on Technological Advancements and Innovations (ICTAI) (2021), pp. 109-114
Closed Access | Times Cited: 3
An Efficient Ad Click Prediction System using Machine Learning Techniques
A. Lakshmanarao, A. Srisaila, T. Srinivasa Ravi Kiran
International Journal of Engineering and Advanced Technology (2020) Vol. 9, Iss. 3, pp. 1269-1272
Open Access | Times Cited: 1
Session Interest Model for CTR Prediction Based on Self-Attention Mechanism
Qianqian Wang, Liu Fang-ai, Xiaohui Zhao, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
A CTR prediction model based on session interest
Qianqian Wang, Liu Fang-ai, Xiaohui Zhao, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0273048-e0273048
Open Access | Times Cited: 1
User Response Prediction in Online Advertising
Zhabiz Gharibshah, Xingquan Zhu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Machine‐Learning and Deep‐Learning Techniques in Social Sciences
Hutashan Vishal Bhagat, Manminder Singh
(2022), pp. 409-428
Closed Access
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