Yingdan Lu
Impact in
- Communication top 5%
- Social Media and Politics
- Media Studies and Communication
- General Social Sciences top 2%
Papers in
-
- Misinformation and Its Impacts 10
- Hong Kong and Taiwan Politics 2
-
- Social Media and Politics 11
- Media Studies and Communication 6
- Co-authors
- Jennifer Pan (10 shared papers)Cuihua Shen (4 shared papers)Yilang Peng (4 shared papers)Angèle Christin (1 shared paper)Yiqing Xu (3 shared papers)Byron Reeves (2 shared papers)Thomas N. Robinson (1 shared paper)Nilàm Ram (1 shared paper)
- Journals
- Political Communication (3 papers)The International Journal of Press/Politics (2 papers)American Journal of Political Science (1 paper)Social Media + Society (1 paper)Chinese Journal of Communication (1 paper)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Yingdan Lu
17 papers receiving 375 citations
Peers
Comparison fields: 5 of 58
- Communication 155
- General Social Sciences 25
- Sociology and Political Science 265
- Applied Psychology 24
- Literature and Literary Theory 49
Countries citing papers authored by Yingdan Lu
This map shows the geographic impact of Yingdan Lu'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 Yingdan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingdan Lu more than expected).
Fields of papers citing papers by Yingdan Lu
This network shows the impact of papers produced by Yingdan Lu. 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 Yingdan Lu. The network helps show where Yingdan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingdan Lu, 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 | 2019 | 104 | |
| 2 | 2020 | 69 | |
| 3 | 2023 | 38 | |
| 4 | 2023 | 35 | |
| 5 | 2021 | 33 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Yingdan Lu
Yingdan Lu is a scholar working on Sociology and Political Science, Communication, Literature and Literary Theory, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 20 papers that have together received 385 indexed citations. Recurring topics across this work include Social Media and Politics (11 papers), Misinformation and Its Impacts (10 papers), Media Studies and Communication (6 papers), Media Influence and Health (4 papers), Complex Network Analysis Techniques (2 papers), Ethics and Social Impacts of AI (2 papers), Hong Kong and Taiwan Politics (2 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Communication (155 citations), General Social Sciences (25 citations), Sociology and Political Science (265 citations), Applied Psychology (24 citations) and Literature and Literary Theory (49 citations). Yingdan Lu has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Jennifer Pan, Cuihua Shen, Yilang Peng, Angèle Christin, Yiqing Xu, Byron Reeves, Thomas N. Robinson, Nilàm Ram, Leo Yeykelis and Mufan Luo. Their work appears in journals such as Political Communication, The International Journal of Press/Politics, American Journal of Political Science, Social Media + Society and Chinese Journal of 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.