Ying Tang
- Education top 2%
- Computer Science Applications top 0.5%
- Sociology and Political Science top 5%
- Information Systems top 2%
- Artificial Intelligence top 10%
- Co-authors
- Khe Foon HewChen QiaoXiang HuChung Kwan LoMin LanChengyuan JiaDavid R. ThompsonBo Wendy Gao
- Topics
- Nuclear physics research studies (19 papers)Online and Blended Learning (14 papers)Atomic and Molecular Physics (12 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaFood Chemistry
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Tang
76 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Education 568
- Computer Science Applications 371
- Sociology and Political Science 317
- Information Systems 302
- Artificial Intelligence 200
Countries citing papers authored by Ying Tang
This map shows the geographic impact of Ying Tang'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 Ying Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Tang more than expected).
Fields of papers citing papers by Ying Tang
This network shows the impact of papers produced by Ying Tang. 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 Ying Tang. The network helps show where Ying Tang may publish in the future.
Co-authorship network of co-authors of Ying Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Tang. A scholar is included among the top collaborators of Ying Tang 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 Ying Tang. Ying Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 57 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | Emoticon, Emoji, and Sticker Use in Computer-Mediated Communication: A Review of Theories and Research Findings | 66 |
| 15 | What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approachbreakdown → | 249 |
| 16 | AI education system for primary and secondary schools | 1 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | Exploration on the Web-based Independent Learning of Computer Profession in Higher Vocational Colleges | 0 |
| 20 | Comparison of beauty sense between fractal and traditional textile printing patterns | 0 |
About Ying Tang
Ying Tang is a scholar working on Computer Science Applications, Nuclear and High Energy Physics and Human-Computer Interaction, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nuclear physics research studies (19 papers), Online and Blended Learning (14 papers) and Atomic and Molecular Physics (12 papers). The work is most often cited by research in Computer Science Applications (371 citations), Education (568 citations) and Human-Computer Interaction (83 citations). Ying Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Khe Foon Hew, Chen Qiao, Xiang Hu, Chung Kwan Lo, Min Lan, Chengyuan Jia, David R. Thompson, Bo Wendy Gao, Y. Fujiwara and Meina Zhu. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Food Chemistry.
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.