Open Access Helper

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:

Detecting Video Game Player Burnout With the Use of Sensor Data and Machine Learning
Anton Smerdov, Andrey Somov, Evgeny Burnaev, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 22, pp. 16680-16691
Open Access | Times Cited: 22

Showing 22 citing articles:

Artificial intelligence for video game visualization, advancements, benefits and challenges
Yue-Liang Wu, Aolong Yi, Chengcheng Ma, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 15345-15373
Open Access | Times Cited: 13
Development of Machine Learning-Based Indicators for Predicting Comeback Victories Using the Bounty Mechanism in MOBA Games
Junhyuk Lee, Namhyoung Kim
Electronics (2025) Vol. 14, Iss. 7, pp. 1445-1445
Open Access
Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation
Zelong Yang, Yan Wang, Piji Li, et al.
IEEE Transactions on Games (2022) Vol. 15, Iss. 2, pp. 193-201
Open Access | Times Cited: 12
SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
Andrzej Białecki, Natalia Jakubowska, Paweł Dobrowolski, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Machine Learning for Computer Games
Amol D. Mali
Encyclopedia of Computer Graphics and Games (2024), pp. 1097-1103
Closed Access | Times Cited: 2
An efficient machine learning approach for extracting eSports players’ distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross-validation
Amin Noroozi, Mohammad S. Hasan, Maryam Ravan, et al.
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 2
IoT Motion Tracking System for Workout Performance Evaluation: A Case Study on Dumbbell
Shilong Sun, Tengyi Peng, Haodong Huang, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 69, Iss. 4, pp. 798-808
Closed Access | Times Cited: 5
The Application of Machine Learning in Predicting the Results of Popular eSports Games: Win Rate Prediction in MOBA and FPS Games
Yulin Peng
Highlights in Science Engineering and Technology (2024) Vol. 85, pp. 1150-1156
Open Access | Times Cited: 1
AI-enabled prediction of video game player performance using the data from heterogeneous sensors
Anton Smerdov, Andrey Somov, Evgeny Burnaev, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 7, pp. 11021-11046
Open Access | Times Cited: 6
Artificial Intelligence in MOBA Games: A Multivocal Literature Mapping
Lincoln M. Costa, Anders Drachen, Francisco Carlos M. Souza, et al.
IEEE Transactions on Games (2023) Vol. 16, Iss. 2, pp. 250-269
Closed Access | Times Cited: 3
Research on Invalid Detection Data Model of Mine Catalytic Sensors Based on Machine Learning
Wang Bowen
IEEE Sensors Journal (2023) Vol. 23, Iss. 3, pp. 1925-1932
Closed Access | Times Cited: 2
Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation.
Zelong Yang, Yan Wang, Piji Li, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 3
Measuring arousal and stress physiology on Esports, a League of Legends case study
David Berga, Eleonora De Filippi, Alexandre Pereda-Baños, et al.
(2023)
Open Access | Times Cited: 1
The Short Video Popularity Prediction Using Internet of Things and Deep Learning
Zichen He, Danian Li
IEEE Access (2024) Vol. 12, pp. 47508-47517
Open Access
Multi-Objective Multi-Instance Learning: A New Approach to Machine Learning for eSports
Kökten Ulaş Birant, Derya Birant
Entropy (2022) Vol. 25, Iss. 1, pp. 28-28
Open Access | Times Cited: 2
Physiology on Esports, a League of Legends study
David Berga, Eleonora De Filippi, Alexandre Pereda-Baños, et al.
(2023)
Open Access
Measuring arousal and stress physiology on Esports, a League of Legends case study
David Berga, Eleonora De Filippi, Alexandre Pereda-Baños, et al.
(2023)
Open Access
Machine Learning for Computer Games
Amol D. Mali
Encyclopedia of Computer Graphics and Games (2023), pp. 1-7
Closed Access
Using Smartphone Sensing for Recognition of Game Player Attributes During Gameplay
Muhammad Saad Khaquan, Muhammad Ehatisham-ul-Haq, Fiza Murtaza, et al.
Lecture notes in networks and systems (2023), pp. 26-38
Closed Access
Analysis of Latent Factors Affecting Video Game Performance Using Machine Learning Methods
Julia Orlova, Anton Stepanov, Anton Vinogradov, et al.
(2023), pp. 1-6
Closed Access
SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
Andrzej Białecki, Natalia Jakubowska, Paweł Dobrowolski, et al.
arXiv (Cornell University) (2022)
Open Access
Study on a method of prolonging the life of catalytic combustion sensor
Wang Bowen
E3S Web of Conferences (2022) Vol. 360, pp. 01058-01058
Open Access
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