Chengda Zheng
- Communication top 5%
- Social Media and Politics 2
- Public Relations and Crisis Communication 2
- Media Studies and Communication 1
- General Social Sciences top 1%
- Computational and Text Analysis Methods 2
- Health top 10%
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining 3
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- Misinformation and Its Impacts 4
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- Data-Driven Disease Surveillance 2
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- Digital Mental Health Interventions 1
- Co-authors
- Jia XueTingshao ZhuJunxiang ChenChen ChenSijia LiRan HuYue SuJingwen Zhang
- Journals
- PLoS ONE (1 paper)Journal of Medical Internet Research (5 papers)Europe PMC (PubMed Central) (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Chengda Zheng
6 papers receiving 495 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Communication 96
- General Social Sciences 42
- Health 83
- Health Informatics 13
- Artificial Intelligence 231
Countries citing papers authored by Chengda Zheng
This map shows the geographic impact of Chengda Zheng'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 Chengda Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengda Zheng more than expected).
Fields of papers citing papers by Chengda Zheng
This network shows the impact of papers produced by Chengda Zheng. 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 Chengda Zheng. The network helps show where Chengda Zheng may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Chengda Zheng, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 33 | |
| 4 | 2021 | 13 | |
| 5 | Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approachbreakdown → | 2020 | 239 |
| 6 | Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitterbreakdown → | 2020 | 212 |
| 7 | Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach | 2020 | 8 |
About Chengda Zheng
Chengda Zheng is a scholar working on General Social Sciences, Communication and Applied Psychology, having authored 7 papers that have together received 507 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Social Media and Politics (2 papers), Computational and Text Analysis Methods (2 papers), Data-Driven Disease Surveillance (2 papers), Public Relations and Crisis Communication (2 papers), Digital Mental Health Interventions (1 paper) and Media Studies and Communication (1 paper). The work is most often cited by research in Communication (96 citations), General Social Sciences (42 citations) and Health (83 citations). Chengda Zheng has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Jia Xue, Tingshao Zhu, Junxiang Chen, Chen Chen, Sijia Li, Ran Hu, Yue Su, Jingwen Zhang, Xiaoling Xiang and Ziqian Li. Their work appears in journals such as PLoS ONE, Journal of Medical Internet Research and Europe PMC (PubMed Central).
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.