Chengda Zheng

891 citations
7 papers · 507 indexed · 2 hit papers · h-index 5
Topics
Misinformation and Its Impacts (4 papers)Sentiment Analysis and Opinion Mining (3 papers)Social Media and Politics (2 papers)
Journals
PLoS ONEJournal of Medical Internet ResearchEurope PMC (PubMed Central)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Chengda Zheng

6 papers receiving 495 citations

Hit Papers

Twitter Discussions and Emotions About the COVID-19 Pande...20202026202220242020202050100150200

Peers

Chengda Zheng
Comparison fields: 5 of 83
  • Sociology and Political Science 301
  • Artificial Intelligence 231
  • Communication 96
  • Health 83
  • Social Psychology 82
Replace Yue Su with:
Yue Su China
Nina Cesare United States
Hansen Andrew Schwartz United States
Joanne Chen Lyu United States
Lyle Ungar United States
Danny Valdez United States
Vidya Purushothaman United States
Evangelos Moustakas United States
Hanjia Lyu United States
Wenjing Pian China
Chengda Zheng relative to Yue Su China Yue Su's profile →
Citations per field
00.5×1.5×1.8×
Yue Su · 1×
Citations per year

Countries citing papers authored by Chengda Zheng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Chengda Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chengda Zheng. A scholar is included among the top collaborators of Chengda Zheng 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 Chengda Zheng. Chengda Zheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 1
3 33
4 13
5
Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approachbreakdown →
239
6
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitterbreakdown →
212
7
Twitter discussions and concerns about COVID-19 pandemic: Twitter data analysis using a machine learning approach
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) and Social Media and Politics (2 papers). 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026