Kailai Yang
- Artificial Intelligence top 5%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Applied Psychology top 5%
- Information Systems
- Co-authors
- Sophia AnaniadouTianlin ZhangQianqian XieShaoxiong JiJimin HuangZhenzhou JiYipeng ZhangBingquan Liu
- Topics
- Mental Health via Writing (11 papers)Sentiment Analysis and Opinion Mining (11 papers)Spam and Phishing Detection (4 papers)
- Journals
- Information FusionInformation Processing & ManagementIEEE Transactions on Affective Computing
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Kailai Yang
18 papers receiving 396 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 216
- Social Psychology 172
- Experimental and Cognitive Psychology 111
- Applied Psychology 101
- Information Systems 32
Countries citing papers authored by Kailai Yang
This map shows the geographic impact of Kailai Yang'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 Kailai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailai Yang more than expected).
Fields of papers citing papers by Kailai Yang
This network shows the impact of papers produced by Kailai Yang. 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 Kailai Yang. The network helps show where Kailai Yang may publish in the future.
Co-authorship network of co-authors of Kailai Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Kailai Yang. A scholar is included among the top collaborators of Kailai Yang 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 Kailai Yang. Kailai Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Modelsbreakdown → | 48 |
| 7 | 13 | |
| 8 | 22 | |
| 9 | 15 | |
| 10 | 15 | |
| 11 | 59 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 37 | |
| 16 | 58 | |
| 17 | 31 | |
| 18 | 40 | |
| 19 | 24 | |
| 20 | 13 |
About Kailai Yang
Kailai Yang is a scholar working on Applied Psychology, Social Psychology and Artificial Intelligence, having authored 20 papers that have together received 402 indexed citations. Recurring topics across this work include Mental Health via Writing (11 papers), Sentiment Analysis and Opinion Mining (11 papers) and Spam and Phishing Detection (4 papers). The work is most often cited by research in Applied Psychology (101 citations), Health Informatics (18 citations) and Experimental and Cognitive Psychology (111 citations). Kailai Yang has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Sophia Ananiadou, Tianlin Zhang, Qianqian Xie, Shaoxiong Ji, Jimin Huang, Zhenzhou Ji, Yipeng Zhang, Bingquan Liu, Yucheng Zou and Yunhe Xie. Their work appears in journals such as Information Fusion, Information Processing & Management and IEEE Transactions on Affective Computing.
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.