Xieling Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 48

Top Topics

Artificial Intelligence

Natural Language Processing

Educational Technology

Top Venues

Educ. Inf. Technol.

BMC Medical Informatics Decis. Mak.

Publications

Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
Deep neural networks for the automatic understanding of the semantic content of online course reviews. Educ. Inf. Technol. 29 (4) (2024)
Xieling Chen, Zongxi Li, Di Zou, Fu Lee Wang, Haoran Xie, Leung Pun Wong
Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts. ICBL (2024)
Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Mingming Leng, Baiying Lei
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics. Artif. Intell. Rev. 57 (4) (2024)
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris S. Y. Jong
Author Correction: Blockchain in smart education: Contributors, collaborations, applications and research topics. Educ. Inf. Technol. 28 (7) (2023)
Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng, Mingming Leng, Fu Lee Wang
Information fusion and artificial intelligence for smart healthcare: a bibliometric study. Inf. Process. Manag. 60 (1) (2023)
Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang
Metaverse in Education: Contributors, Cooperations, and Research Themes. IEEE Trans. Learn. Technol. 16 (6) (2023)
Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng
Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. Educ. Inf. Technol. 28 (2) (2023)
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris S. Y. Jong
Blockchain in smart education: Contributors, collaborations, applications and research topics. Educ. Inf. Technol. 28 (4) (2023)
Xieling Chen, Haoran Xie, Zongxi Li, Dian Zhang, Gary Cheng, Fu Lee Wang, Hong-Ning Dai, Qing Li
Leveraging deep learning for automatic literature screening in intelligent bibliometrics. Int. J. Mach. Learn. Cybern. 14 (4) (2023)
Xieling Chen, Haoran Xie, Qing Li
Vision, status, and topics of X Reality in Education. Comput. Educ. X Real. 1 (2022)
Xieling Chen, Gary Cheng, Fu Lee Wang, Xiaohui Tao, Haoran Xie, Lingling Xu
Machine and cognitive intelligence for human health: systematic review. Brain Informatics 9 (1) (2022)
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
Understanding Classroom Interaction Using Epistemic and Social Network Analysis. ICBL (2022)
Xieling Chen, Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang
Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling. BESC (2022)
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
Thirty years of interactive learning environments: contributors, collaborations and research topics. Int. J. Mob. Learn. Organisation 16 (4) (2022)
Xieling Chen, Haoran Xie, Gary Cheng, Zongxi Li
A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis. Cogn. Comput. 14 (1) (2022)
Xieling Chen, Di Zou, Haoran Xie
A decade of learning analytics: Structural topic modeling based bibliometric analysis. Educ. Inf. Technol. 27 (8) (2022)
Xieling Chen, Haoran Xie, Jingjing Wang, Zongxi Li, Gary Cheng, Man Leung Wong, Fu Lee Wang
A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis. IEEE Trans. Artif. Intell. 3 (5) (2022)
Xieling Chen, Fu Lee Wang, Gary Cheng, Man-Kong Chow, Haoran Xie
Understanding Learners' Perception of MOOCs Based on Review Data Analysis Using Deep Learning and Sentiment Analysis. Future Internet 14 (8) (2022)
Xieling Chen, Xiaohui Tao, Fu Lee Wang, Haoran Xie
Global research on artificial intelligence-enhanced human electroencephalogram analysis. Neural Comput. Appl. 34 (14) (2022)
Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Fan Su
A bibliometric analysis of game-based collaborative learning between 2000 and 2019. Int. J. Mob. Learn. Organisation 16 (1) (2022)
Xieling Chen, Haoran Xie, Xiaohui Tao
Vision, status, and research topics of Natural Language Processing. Nat. Lang. Process. J. 1 (2022)
Di Zou, Xinyi Huang, Lucas Kohnke, Xieling Chen, Gary Cheng, Haoran Xie
A bibliometric analysis of the trends and research topics of empirical research on TPACK. Educ. Inf. Technol. 27 (8) (2022)
Xieling Chen, Xinxin Zhang, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Nengfu Xie, Tianyong Hao
A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research. Multim. Tools Appl. 80 (11) (2021)
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
Artificial intelligence-assisted personalized language learning: systematic review and co-citation analysis. ICALT (2021)
Xieling Chen, Di Zou, Haoran Xie, Gary Cheng
Systematic Evaluation of Research Progress on Technology-Enhanced Language Learning: Content Analysis and Knowledge Mapping. SETE (2021)
Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng
Topic analysis and development in knowledge graph research: A bibliometric review on three decades. Neurocomputing 461 (2021)
Xieling Chen, Gary Cheng, Haoran Xie, Guanliang Chen, Di Zou
Understanding MOOC Reviews: Text Mining using Structural Topic Model. Hum. Centric Intell. Syst. 1 (3-4) (2021)
Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang
Smart Learning Environments: A Bibliometric Analysis. ICBL (2020)
Xieling Chen, Haoran Xie
A Structural Topic Modeling-Based Bibliometric Study of Sentiment Analysis Literature. Cogn. Comput. 12 (6) (2020)
Xieling Chen, Di Zou, Haoran Xie, Gary Cheng
What Are MOOCs Learners' Concerns? Text Analysis of Reviews for Computer Science Courses. DASFAA (Workshops) (2020)
Xieling Chen, Di Zou, Haoran Xie
Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective. Br. J. Educ. Technol. 51 (3) (2020)
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie
. Comput. Educ. 151 (2020)
Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang, Leung Pun Wong
Core Research Topics of Studies on Personalized Feedback in the Past Four Decades. DASFAA (Workshops) (2020)
Xieling Chen, Haoran Xie, Gwo-Jen Hwang
A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers. Comput. Educ. Artif. Intell. 1 (2020)
Xieling Chen, Haoran Xie, Di Zou, Gwo-Jen Hwang
Application and theory gaps during the rise of Artificial Intelligence in Education. Comput. Educ. Artif. Intell. 1 (2020)
Xieling Chen, Shan Wang, Yong Tang, Tianyong Hao
A bibliometric analysis of event detection in social media. Online Inf. Rev. 43 (1) (2019)
Xieling Chen, Yonghui Lun, Jun Yan, Tianyong Hao, Heng Weng
Discovering thematic change and evolution of utilizing social media for healthcare research. BMC Medical Informatics Decis. Mak. (2) (2019)
Xieling Chen, Dongfa Gao, Yonghui Lun, Dingli Zhou, Tianyong Hao, Haoran Xie
The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. SETE@ICWL (2019)
Yu Song, Xieling Chen, Tianyong Hao, Zhinan Liu, Zixin Lan
Exploring two decades of research on classroom dialogue by using bibliometric analysis. Comput. Educ. 137 (2019)
Xieling Chen, Xinxin Zhang, Haoran Xie, Fu Lee Wang, Jun Yan, Tianyong Hao
Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach. HBAI@IJCAI (2019)
Xieling Chen, Juntao Hao, Junjie Chen, Songshou Hua, Tianyong Hao
A Bibliometric Analysis of the Research Status of the Technology Enhanced Language Learning. SETE@ICWL (2018)
Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao, Ruoyao Ding
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. 18 (S-5) (2018)
Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu, Juan Xu, Tianyong Hao
A bibliometric analysis of natural language processing in medical research. BMC Medical Informatics Decis. Mak. 18 (S-1) (2018)
Tianyong Hao, Xieling Chen, Guozheng Li, Jun Yan
A bibliometric analysis of text mining in medical research. Soft Comput. 22 (23) (2018)
Xieling Chen, Ruoyao Ding, Kai Xu, Shan Wang, Tianyong Hao, Yi Zhou
A Bibliometric Review of Natural Language Processing Empowered Mobile Computing. Wirel. Commun. Mob. Comput. 2018 (2018)
Xieling Chen, Heng Weng, Tianyong Hao
A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China. HIS (2017)
Xieling Chen, Boyu Chen, Chunxia Zhang, Tianyong Hao
Discovering the Recent Research in Natural Language Processing Field Based on a Statistical Approach. SETE@ICWL (2017)
Tianyong Hao, Xieling Chen, Guimin Huang
Discovering Commonly Shared Semantic Concepts of Eligibility Criteria for Learning Clinical Trial Design. ICWL (2015)