Yingdan Lu

770 citations
24 papers · 429 · h-index 10

Impact in

Papers in

Yingdan Lu

21 papers receiving 411 citations

Peers

Yingdan Lu
Comparison fields: 5 of 59
  • Communication 159
  • General Social Sciences 24
  • Sociology and Political Science 273
  • Literature and Literary Theory 49
  • Applied Psychology 19
Replace Franziska Marquart with:
Franziska Marquart Netherlands
Stephanie Geise Germany
Lukas Otto Germany
Víctor García‐Perdomo Colombia
Axel Westerwick United States
Cornelia Brantner Austria
Melanie Magin Norway
Meital Balmas Israel
Keren Tenenboim‐Weinblatt Israel
Perry Parks United States
Yingdan Lu relative to Franziska Marquart Netherlands Franziska Marquart's profile →
Citations per field
00.5×8.5×
Franziska Marquart · 1×
Citations per year

Countries citing papers authored by Yingdan Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019108
2 202076
3 202340
4 202339
5 202135
6 202228
7 202225
8 202324
9 202416
10 20239
11 20247
12 20214
13 20253
14 20223
15 20243
16 20242
17 20252
18 20202
19 20251
20 20231

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 24 papers that have together received 429 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), Hate Speech and Cyberbullying Detection (2 papers), Impact of Technology on Adolescents (2 papers), Complex Network Analysis Techniques (2 papers) and Hong Kong and Taiwan Politics (2 papers). The work is most often cited by research in Communication (159 citations), General Social Sciences (24 citations), Sociology and Political Science (273 citations), Literature and Literary Theory (49 citations) and Applied Psychology (19 citations). Yingdan Lu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jennifer Pan, Cuihua Shen, Yilang Peng, Yiqing Xu, Angèle Christin, Byron Reeves, Miriam Brinberg, Nilám Ram, Leo Yeykelis and Xiao Yang. Their work appears in journals such as Political Communication, The International Journal of Press/Politics, BMC Cardiovascular Disorders, New Media & Society and Public Relations Review.

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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