Kailai Yang
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Health Informatics top 10%
Papers in
-
- Sentiment Analysis and Opinion Mining 11
- Advanced Text Analysis Techniques 3
- Hate Speech and Cyberbullying Detection 2
-
- Mental Health via Writing 11
- Co-authors
- Sophia Ananiadou (16 shared papers)Tianlin Zhang (12 shared papers)Qianqian Xie (7 shared papers)Shaoxiong Ji (3 shared papers)Jimin Huang (3 shared papers)Yucheng Zou (1 shared paper)Hui Zhang (1 shared paper)Zeyu Qin (1 shared paper)
- Journals
- Information Processing & Management (2 papers)Information Fusion (2 papers)IEEE Transactions on Affective Computing (2 papers)Current Treatment Options in Psychiatry (1 paper)Food Packaging and Shelf Life (1 paper)
- Partner nations
- United KingdomChinaFinland
In The Last Decade
Kailai Yang
19 papers receiving 451 citations
Kailai Yang's Hit Papers
Peers
Comparison fields: 5 of 71
- Applied Psychology 95
- Health Informatics 15
- Experimental and Cognitive Psychology 114
- Social Psychology 179
- Artificial Intelligence 218
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-authors
The 25 scholars most cited alongside Kailai Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 65 | |
| 2 | 2022 | 62 | |
| 3 | MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models Hit paper breakdown → | 2024 | 57 |
| 4 | 2022 | 43 | |
| 5 | 2023 | 43 | |
| 6 | 2022 | 34 | |
| 7 | 2024 | 29 | |
| 8 | 2021 | 25 | |
| 9 | 2023 | 18 | |
| 10 | 2024 | 18 | |
| 11 | 2024 | 17 | |
| 12 | 2020 | 13 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Kailai Yang
Kailai Yang is a scholar working on Artificial Intelligence, Social Psychology, Sociology and Political Science, Information Systems and Experimental and Cognitive Psychology, having authored 20 papers that have together received 455 indexed citations. Recurring topics across this work include Mental Health via Writing (11 papers), Sentiment Analysis and Opinion Mining (11 papers), Spam and Phishing Detection (4 papers), Misinformation and Its Impacts (4 papers), Digital Mental Health Interventions (4 papers), Advanced Text Analysis Techniques (3 papers), Mental Health Research Topics (2 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Applied Psychology (95 citations), Health Informatics (15 citations), Experimental and Cognitive Psychology (114 citations), Social Psychology (179 citations) and Artificial Intelligence (218 citations). Kailai Yang has collaborated with scholars based in United Kingdom, China and Finland. Frequent co-authors include Sophia Ananiadou, Tianlin Zhang, Qianqian Xie, Shaoxiong Ji, Jimin Huang, Yucheng Zou, Hui Zhang, Zeyu Qin, Yipeng Zhang and Chengjie Sun. Their work appears in journals such as Information Processing & Management, Information Fusion, IEEE Transactions on Affective Computing, Current Treatment Options in Psychiatry and Food Packaging and Shelf Life.
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.