Yang Bing

404 citations
7 papers · 263 indexed · 1 hit paper · h-index 4
Topics
Technology Adoption and User Behaviour (3 papers)Second Language Acquisition and Learning (2 papers)Natural Language Processing Techniques (2 papers)

In The Last Decade

Yang Bing

6 papers receiving 254 citations

Hit Papers

Conversation Technology With Micro-Learning: The Impact o...2020202620222024202050100150200

Peers

Yang Bing
Comparison fields: 5 of 46
  • Artificial Intelligence 120
  • Computer Science Applications 108
  • Education 69
  • Information Systems 53
  • Developmental and Educational Psychology 51
Replace Michael Pin-Chuan Lin with:
Michael Pin-Chuan Lin Canada
Chi Wui Ng Hong Kong
Emily Oxley United Kingdom
Katherine K. W. Lee Hong Kong
Aisha Walker United Kingdom
Azzeddine Boudouaia China
Abdullahi Yusuf Nigeria
Hyangeun Ji United States
Antonette Shibani Australia
Yuwei Wan Hong Kong
Yang Bing relative to Michael Pin-Chuan Lin Canada Michael Pin-Chuan Lin's profile →
Citations per field
00.5×
Michael Pin-Chuan Lin · 1×
Citations per year

Countries citing papers authored by Yang Bing

Since Specialization
Citations

This map shows the geographic impact of Yang Bing's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang Bing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Bing more than expected).

Fields of papers citing papers by Yang Bing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Bing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Bing. The network helps show where Yang Bing may publish in the future.

Co-authorship network of co-authors of Yang Bing

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Bing. A scholar is included among the top collaborators of Yang Bing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yang Bing. Yang Bing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 3
2 39
3
Conversation Technology With Micro-Learning: The Impact of Chatbot-Based Learning on Students’ Learning Motivation and Performancebreakdown →
205
4 11
5 4
6 0
7 1

About Yang Bing

Yang Bing is a scholar working on Information Systems and Management, Developmental and Educational Psychology and Computer Science Applications, having authored 7 papers that have together received 263 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (3 papers), Second Language Acquisition and Learning (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Health Informatics (31 citations), Computer Science Applications (108 citations) and Information Systems and Management (29 citations). Yang Bing has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Tiong‐Thye Goh, Jiaqi Yin, Hui Sun and Dawei Jin. Their work appears in journals such as Journal of Educational Computing Research, Computer Assisted Language Learning and Interactive Learning Environments.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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