Kai‐Cheng Yang
- Sociology and Political Science top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Communication top 2%
- Health top 5%
- Co-authors
- Filippo MenczerOnur VarolPik-Mai HuiEmilio FerraraAlessandro FlamminiFrancesco PierriJohn BrydenBrea L. Perry
- Topics
- Misinformation and Its Impacts (22 papers)Spam and Phishing Detection (8 papers)Hate Speech and Cyberbullying Detection (8 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaItaly
In The Last Decade
Kai‐Cheng Yang
52 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Sociology and Political Science 850
- Information Systems 432
- Artificial Intelligence 402
- Communication 263
- Health 190
Countries citing papers authored by Kai‐Cheng Yang
This map shows the geographic impact of Kai‐Cheng 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 Kai‐Cheng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Cheng Yang more than expected).
Fields of papers citing papers by Kai‐Cheng Yang
This network shows the impact of papers produced by Kai‐Cheng 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 Kai‐Cheng Yang. The network helps show where Kai‐Cheng Yang may publish in the future.
Co-authorship network of co-authors of Kai‐Cheng Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Cheng Yang. A scholar is included among the top collaborators of Kai‐Cheng 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 Kai‐Cheng Yang. Kai‐Cheng 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 0 | |
| 9 | 27 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 38 | |
| 14 | Online misinformation is linked to early COVID-19 vaccination hesitancy and refusalbreakdown → | 144 |
| 15 | 32 | |
| 16 | 6 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 76 | |
| 20 | The S RN 1 reaction of the sodium salt of 2-nitropropane with 1-chloro-3-nitro-2-butene. | 0 |
About Kai‐Cheng Yang
Kai‐Cheng Yang is a scholar working on Communication, Information Systems and Health, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (22 papers), Spam and Phishing Detection (8 papers) and Hate Speech and Cyberbullying Detection (8 papers). The work is most often cited by research in Communication (263 citations), Health (190 citations) and Sociology and Political Science (850 citations). Kai‐Cheng Yang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Filippo Menczer, Onur Varol, Pik-Mai Hui, Emilio Ferrara, Alessandro Flammini, Francesco Pierri, John Bryden, Brea L. Perry, Clayton A. Davis and Matthew DeVerna. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.
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.