Xieling Chen

59 papers B 1C 1Journal 43Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling.
J. Big Data
Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Dian Zhang, Hong-Ning Dai
2025 J jnl
Educational chatbot research: text mining and bibliometrics.
Interact. Learn. Environ.
Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang
2025 — conf
Fine-Tuned BERT Model for Sentiment Classification of Chinese MOOCs.
ICBL
Xieling Chen, Haoran Xie, Di Zou, Lingling Xu, Fu Lee Wang
2025 J jnl
Leveraging ChatGPT-Based Augmentation and Contrastive Learning for Chinese Massive Open Online Course Sentiment Analysis.
IEEE Intell. Syst.
Xieling Chen, Haoran Xie, S. Joe Qin, Lingling Xu, Xiaohui Tao, Fu Lee Wang
2025 J jnl
Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs.
Comput. Educ. Artif. Intell.
Xieling Chen, Haoran Xie, Di Zou, Gary Cheng, Xiaohui Tao, Fu Lee Wang
2025 J jnl
Sentiment analysis for stock market research: A bibliometric study.
Nat. Lang. Process. J.
Xieling Chen, Haoran Xie, Zongxi Li, Han Zhang, Xiaohui Tao, Fu Lee Wang
2024 J jnl
A topic modeling-based bibliometric exploration of automatic summarization research.
WIREs Data. Mining. Knowl. Discov.
Xieling Chen, Haoran Xie, Xiaohui Tao, Lingling Xu, Jingjing Wang, Hongning Dai, Fu Lee Wang
2024 J jnl
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics.
Artif. Intell. Rev.
Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Mingming Leng, Baiying Lei
2024 J jnl
Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis.
Cogn. Comput.
Xieling Chen, Haoran Xie, S. Joe Qin, Yaping Chai, Xiaohui Tao, Fu Lee Wang
2024 J jnl
Deep neural networks for the automatic understanding of the semantic content of online course reviews.
Educ. Inf. Technol.
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
2024 — conf
Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts.
ICBL
Xieling Chen, Zongxi Li, Di Zou, Fu Lee Wang, Haoran Xie, Leung Pun Wong
2024 J jnl
Leveraging text mining and analytic hierarchy process for the automatic evaluation of online courses.
Int. J. Mach. Learn. Cybern.
Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Jie Cao
2024 J jnl
Technologies in content and language integrated learning: types, purposes, and outcomes.
Int. J. Mob. Learn. Organisation
Xieling Chen, Di Zou, Haoran Xie
2023 J jnl
Author Correction: Blockchain in smart education: Contributors, collaborations, applications and research topics.
Educ. Inf. Technol.
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris S. Y. Jong
2023 J jnl
Blockchain in smart education: Contributors, collaborations, applications and research topics.
Educ. Inf. Technol.
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris S. Y. Jong
2023 — conf
ChatGPT for generating stories and mind-maps in storytelling.
BESC
Xieling Chen, Haoran Xie, Di Zou, Fu Lee Wang
2023 J jnl
Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences.
Educ. Inf. Technol.
Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng
2023 J jnl
Information fusion and artificial intelligence for smart healthcare: a bibliometric study.
Inf. Process. Manag.
Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng, Mingming Leng, Fu Lee Wang
2023 J jnl
Leveraging deep learning for automatic literature screening in intelligent bibliometrics.
Int. J. Mach. Learn. Cybern.
Xieling Chen, Haoran Xie, Zongxi Li, Dian Zhang, Gary Cheng, Fu Lee Wang, Hong-Ning Dai, Qing Li
2023 J jnl
Metaverse in Education: Contributors, Cooperations, and Research Themes.
IEEE Trans. Learn. Technol.
Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang
2022 J jnl
A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis.
IEEE Trans. Artif. Intell.
Xieling Chen, Haoran Xie, Jingjing Wang, Zongxi Li, Gary Cheng, Man Leung Wong, Fu Lee Wang
2022 J jnl
A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis.
Cogn. Comput.
Xieling Chen, Haoran Xie, Gary Cheng, Zongxi Li
2022 J jnl
A bibliometric analysis of game-based collaborative learning between 2000 and 2019.
Int. J. Mob. Learn. Organisation
Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Fan Su
2022 J jnl
A bibliometric analysis of the trends and research topics of empirical research on TPACK.
Educ. Inf. Technol.
Di Zou, Xinyi Huang, Lucas Kohnke, Xieling Chen, Gary Cheng, Haoran Xie
2022 J jnl
A decade of learning analytics: Structural topic modeling based bibliometric analysis.
Educ. Inf. Technol.
Xieling Chen, Di Zou, Haoran Xie
2022 J jnl
Global research on artificial intelligence-enhanced human electroencephalogram analysis.
Neural Comput. Appl.
Xieling Chen, Xiaohui Tao, Fu Lee Wang, Haoran Xie
2022 J jnl
Machine and cognitive intelligence for human health: systematic review.
Brain Informatics
Xieling Chen, Gary Cheng, Fu Lee Wang, Xiaohui Tao, Haoran Xie, Lingling Xu
2022 — conf
Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling.
BESC
Xieling Chen, Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang
2022 J jnl
Thirty years of interactive learning environments: contributors, collaborations and research topics.
Int. J. Mob. Learn. Organisation
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
2022 — conf
Understanding Classroom Interaction Using Epistemic and Social Network Analysis.
ICBL
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
2022 J jnl
Understanding Learners' Perception of MOOCs Based on Review Data Analysis Using Deep Learning and Sentiment Analysis.
Future Internet
Xieling Chen, Fu Lee Wang, Gary Cheng, Man-Kong Chow, Haoran Xie
2022 J jnl
Vision, status, and research topics of Natural Language Processing.
Nat. Lang. Process. J.
Xieling Chen, Haoran Xie, Xiaohui Tao
2022 J jnl
Vision, status, and topics of X Reality in Education.
Comput. Educ. X Real.
Xieling Chen, Haoran Xie, Qing Li
2021 J jnl
A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research.
Multim. Tools Appl.
Xieling Chen, Xinxin Zhang, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Nengfu Xie, Tianyong Hao
2021 B conf
Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis.
ICALT
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
2021 — conf
Systematic Evaluation of Research Progress on Technology-Enhanced Language Learning: Content Analysis and Knowledge Mapping.
SETE
Xieling Chen, Di Zou, Haoran Xie, Gary Cheng
2021 J jnl
Topic analysis and development in knowledge graph research: A bibliometric review on three decades.
Neurocomputing
Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng
2021 J jnl
Understanding MOOC Reviews: Text Mining using Structural Topic Model.
Hum. Centric Intell. Syst.
Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou
2020 J jnl
A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature.
Cogn. Comput.
Xieling Chen, Haoran Xie
2020 J jnl
A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers.
Comput. Educ. Artif. Intell.
Xieling Chen, Haoran Xie, Gwo-Jen Hwang
2020 J jnl
Application and theory gaps during the rise of Artificial Intelligence in Education.
Comput. Educ. Artif. Intell.
Xieling Chen, Haoran Xie, Di Zou, Gwo-Jen Hwang
2020 — conf
Core Research Topics of Studies on Personalized Feedback in the Past Four Decades.
DASFAA (Workshops)
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang, Leung Pun Wong
2020 J jnl
Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of
Comput. Educ.
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
2020 J jnl
Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective.
Br. J. Educ. Technol.
Xieling Chen, Di Zou, Haoran Xie
2020 — conf
Smart Learning Environments: A Bibliometric Analysis.
ICBL
Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang
2020 — conf
What Are MOOCs Learners' Concerns? Text Analysis of Reviews for Computer Science Courses.
DASFAA (Workshops)
Xieling Chen, Di Zou, Haoran Xie, Gary Cheng
2019 J jnl
A bibliometric analysis of event detection in social media.
Online Inf. Rev.
Xieling Chen, Shan Wang, Yong Tang, Tianyong Hao
2019 J jnl
Discovering thematic change and evolution of utilizing social media for healthcare research.
BMC Medical Informatics Decis. Mak.
Xieling Chen, Yonghui Lun, Jun Yan, Tianyong Hao, Heng Weng
2019 J jnl
Exploring two decades of research on classroom dialogue by using bibliometric analysis.
Comput. Educ.
Yu Song, Xieling Chen, Tianyong Hao, Zhinan Liu, Zixin Lan
2019 — conf
The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling.
SETE@ICWL
Xieling Chen, Dongfa Gao, Yonghui Lun, Dingli Zhou, Tianyong Hao, Haoran Xie
2019 — conf
Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach.
HBAI@IJCAI
Xieling Chen, Xinxin Zhang, Haoran Xie, Fu Lee Wang, Jun Yan, Tianyong Hao
2018 — conf
A Bibliometric Analysis of the Research Status of the Technology Enhanced Language Learning.
SETE@ICWL
Xieling Chen, Juntao Hao, Junjie Chen, Songshou Hua, Tianyong Hao
2018 J jnl
A Bibliometric Review of Natural Language Processing Empowered Mobile Computing.
Wirel. Commun. Mob. Comput.
Xieling Chen, Ruoyao Ding, Kai Xu, Shan Wang, Tianyong Hao, Yi Zhou
2018 J jnl
A bibliometric analysis of natural language processing in medical research.
BMC Medical Informatics Decis. Mak.
Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu, Juan Xu, Tianyong Hao
2018 J jnl
A bibliometric analysis of text mining in medical research.
Soft Comput.
Tianyong Hao, Xieling Chen, Guozheng Li, Jun Yan
2018 J jnl
A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017.
BMC Medical Informatics Decis. Mak.
Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao, Ruoyao Ding
2017 C conf
A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China.
HIS
Xieling Chen, Heng Weng, Tianyong Hao
2017 — conf
Discovering the Recent Research in Natural Language Processing Field Based on a Statistical Approach.
SETE@ICWL
Xieling Chen, Boyu Chen, Chunxia Zhang, Tianyong Hao
2015 — conf
Discovering Commonly Shared Semantic Concepts of Eligibility Criteria for Learning Clinical Trial Design.
ICWL
Tianyong Hao, Xieling Chen, Guimin Huang