Kaiping Chen

1.3k citations
52 papers · 730 · h-index 15

Impact in

Papers in

    • Misinformation and Its Impacts 17
    • Climate Change Communication and Perception 13
    • Media Influence and Politics 6
    • Social Media and Politics 23
    • Media Studies and Communication 5

Kaiping Chen

48 papers receiving 687 citations

Peers

Kaiping Chen
Comparison fields: 5 of 95
  • Communication 246
  • Modeling and Simulation 79
  • General Social Sciences 54
  • Sociology and Political Science 373
  • Public Administration 20
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Kaiping Chen relative to Loni Hagen United States Loni Hagen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kaiping Chen

Since Specialization
Citations

This map shows the geographic impact of Kaiping Chen'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 Kaiping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiping Chen more than expected).

Fields of papers citing papers by Kaiping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaiping Chen. 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 Kaiping Chen. The network helps show where Kaiping Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Kaiping Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kaiping Chen Line = papers co-authored together Kaiping Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021101
2 202271
3 201865
4 201940
5 202139
6 201733
7 202030
8 202127
9 202126
10 202120
11 202117
12 202017
13 202416
14 201816
15 202216
16 201613
17 202113
18 202212
19 202212
20 202212

About Kaiping Chen

Kaiping Chen is a scholar working on Sociology and Political Science, Communication, Political Science and International Relations, General Social Sciences and Artificial Intelligence, having authored 52 papers that have together received 730 indexed citations. Recurring topics across this work include Social Media and Politics (23 papers), Misinformation and Its Impacts (17 papers), Climate Change Communication and Perception (13 papers), Computational and Text Analysis Methods (10 papers), Media Influence and Politics (6 papers), E-Government and Public Services (5 papers), Media Studies and Communication (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). The work is most often cited by research in Communication (246 citations), Modeling and Simulation (79 citations), General Social Sciences (54 citations), Sociology and Political Science (373 citations) and Public Administration (20 citations). Kaiping Chen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jennifer Pan, Tanja Aitamurto, Shelley Boulianne, Miriam Lips, Albert Meijer, Xiao Hua Hou, Yuhao Kang, Jordan S. Ellenberg, Qin Li and Jinmeng Rao. Their work appears in journals such as Journalism & Mass Communication Quarterly, The International Journal of Press/Politics, New Media & Society, Environmental Communication and Journal of Computer-Mediated Communication.

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.

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