Xieling Chen

According to our database, Xieling Chen authored at least 49 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses.

Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Jie Cao

Int. J. Mach. Learn. Cybern., November, 2024

Deep neural networks for the automatic understanding of the semantic content of online course reviews.

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie

Educ. Inf. Technol., March, 2024

Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics.

Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Mingming Leng, Baiying Lei

Artif. Intell. Rev., 2024

Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts.

Xieling Chen, Zongxi Li, Di Zou, Fu Lee Wang, Haoran Xie, Leung Pun Wong

Proceedings of the Blended Learning. Intelligent Computing in Education, 2024

2023

Metaverse in Education: Contributors, Cooperations, and Research Themes.

Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang

IEEE Trans. Learn. Technol., December, 2023

Leveraging deep learning for automatic literature screening in intelligent bibliometrics.

Xieling Chen, Haoran Xie, Zongxi Li, Dian Zhang, Gary Cheng, Fu Lee Wang, Hong-Ning Dai, Qing Li

Int. J. Mach. Learn. Cybern., April, 2023

Blockchain in smart education: Contributors, collaborations, applications and research topics.

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris S. Y. Jong

Educ. Inf. Technol., April, 2023

Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences.

Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng

Educ. Inf. Technol., February, 2023

Information fusion and artificial intelligence for smart healthcare: a bibliometric study.

Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng, Mingming Leng, Fu Lee Wang

Inf. Process. Manag., 2023

Author Correction: Blockchain in smart education: Contributors, collaborations, applications and research topics.

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris S. Y. Jong

Educ. Inf. Technol., 2023

2022

A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis.

Xieling Chen, Haoran Xie, Jingjing Wang, Zongxi Li, Gary Cheng, Man Leung Wong, Fu Lee Wang

IEEE Trans. Artif. Intell., 2022

Vision, status, and research topics of Natural Language Processing.

Xieling Chen, Haoran Xie, Xiaohui Tao

Nat. Lang. Process. J., 2022

Global research on artificial intelligence-enhanced human electroencephalogram analysis.

Xieling Chen, Xiaohui Tao, Fu Lee Wang, Haoran Xie

Neural Comput. Appl., 2022

A bibliometric analysis of game-based collaborative learning between 2000 and 2019.

Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Fan Su

Int. J. Mob. Learn. Organisation, 2022

Thirty years of interactive learning environments: contributors, collaborations and research topics.

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie

Int. J. Mob. Learn. Organisation, 2022

Understanding Learners' Perception of MOOCs Based on Review Data Analysis Using Deep Learning and Sentiment Analysis.

Xieling Chen, Fu Lee Wang, Gary Cheng, Man-Kong Chow, Haoran Xie

Future Internet, 2022

A bibliometric analysis of the trends and research topics of empirical research on TPACK.

Di Zou, Xinyi Huang, Lucas Kohnke, Xieling Chen, Gary Cheng, Haoran Xie

Educ. Inf. Technol., 2022

A decade of learning analytics: Structural topic modeling based bibliometric analysis.

Xieling Chen, Di Zou, Haoran Xie

Educ. Inf. Technol., 2022

A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis.

Xieling Chen, Haoran Xie, Gary Cheng, Zongxi Li

Cogn. Comput., 2022

Vision, status, and topics of X Reality in Education.

Xieling Chen, Haoran Xie, Qing Li

Comput. Educ. X Real., 2022

Machine and cognitive intelligence for human health: systematic review.

Xieling Chen, Gary Cheng, Fu Lee Wang, Xiaohui Tao, Haoran Xie, Lingling Xu

Brain Informatics, 2022

Understanding Classroom Interaction Using Epistemic and Social Network Analysis.

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie

Proceedings of the Blended Learning: Engaging Students in the New Normal Era, 2022

Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling.

Xieling Chen, Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang

Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021

A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research.

Xieling Chen, Xinxin Zhang, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Nengfu Xie, Tianyong Hao

Multim. Tools Appl., 2021

Topic analysis and development in knowledge graph research: A bibliometric review on three decades.

Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng

Neurocomputing, 2021

Understanding MOOC Reviews: Text Mining using Structural Topic Model.

Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou

Hum. Centric Intell. Syst., 2021

Systematic Evaluation of Research Progress on Technology-Enhanced Language Learning: Content Analysis and Knowledge Mapping.

Xieling Chen, Di Zou, Haoran Xie, Gary Cheng

Proceedings of the Emerging Technologies for Education - 6th International Symposium, 2021

Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis.

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie

Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

2020

A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature.

Xieling Chen, Haoran Xie

Cogn. Comput., 2020

Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of <i>Computers & Education</i>.

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie

Comput. Educ., 2020

Application and theory gaps during the rise of Artificial Intelligence in Education.

Xieling Chen, Haoran Xie, Di Zou, Gwo-Jen Hwang

Comput. Educ. Artif. Intell., 2020

A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers.

Xieling Chen, Haoran Xie, Gwo-Jen Hwang

Comput. Educ. Artif. Intell., 2020

Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective.

Xieling Chen, Di Zou, Haoran Xie

Br. J. Educ. Technol., 2020

Smart Learning Environments: A Bibliometric Analysis.

Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang

Proceedings of the Blended Learning. Education in a Smart Learning Environment, 2020

What Are MOOCs Learners' Concerns? Text Analysis of Reviews for Computer Science Courses.

Xieling Chen, Di Zou, Haoran Xie, Gary Cheng

Proceedings of the Database Systems for Advanced Applications. DASFAA 2020 International Workshops, 2020

Core Research Topics of Studies on Personalized Feedback in the Past Four Decades.

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang, Leung Pun Wong

Proceedings of the Database Systems for Advanced Applications. DASFAA 2020 International Workshops, 2020

2019

A bibliometric analysis of event detection in social media.

Xieling Chen, Shan Wang, Yong Tang, Tianyong Hao

Online Inf. Rev., 2019

Discovering thematic change and evolution of utilizing social media for healthcare research.

Xieling Chen, Yonghui Lun, Jun Yan, Tianyong Hao, Heng Weng

BMC Medical Informatics Decis. Mak., 2019

Exploring two decades of research on classroom dialogue by using bibliometric analysis.

Yu Song, Xieling Chen, Tianyong Hao, Zhinan Liu, Zixin Lan

Comput. Educ., 2019

The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling.

Xieling Chen, Dongfa Gao, Yonghui Lun, Dingli Zhou, Tianyong Hao, Haoran Xie

Proceedings of the Emerging Technologies for Education - 4th International Symposium, 2019

Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach.

Xieling Chen, Xinxin Zhang, Haoran Xie, Fu Lee Wang, Jun Yan, Tianyong Hao

Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

2018

A Bibliometric Review of Natural Language Processing Empowered Mobile Computing.

Xieling Chen, Ruoyao Ding, Kai Xu, Shan Wang, Tianyong Hao, Yi Zhou

Wirel. Commun. Mob. Comput., 2018

A bibliometric analysis of text mining in medical research.

Tianyong Hao, Xieling Chen, Guozheng Li, Jun Yan

Soft Comput., 2018

A bibliometric analysis of natural language processing in medical research.

Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu, Juan Xu, Tianyong Hao

BMC Medical Informatics Decis. Mak., 2018

A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017.

Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao, Ruoyao Ding

BMC Medical Informatics Decis. Mak., 2018

A Bibliometric Analysis of the Research Status of the Technology Enhanced Language Learning.

Xieling Chen, Juntao Hao, Junjie Chen, Songshou Hua, Tianyong Hao

Proceedings of the Emerging Technologies for Education - Third International Symposium, 2018

2017

Discovering the Recent Research in Natural Language Processing Field Based on a Statistical Approach.

Xieling Chen, Boyu Chen, Chunxia Zhang, Tianyong Hao

Proceedings of the Emerging Technologies for Education - Second International Symposium, 2017

A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China.

Xieling Chen, Heng Weng, Tianyong Hao

Proceedings of the Health Information Science - 6th International Conference, 2017

2015

Discovering Commonly Shared Semantic Concepts of Eligibility Criteria for Learning Clinical Trial Design.

Tianyong Hao, Xieling Chen, Guimin Huang

Proceedings of the Advances in Web-Based Learning - ICWL 2015, 2015