Yingda Lu
- Sociology and Political Science top 10%
- Marketing top 10%
- Communication top 10%
- Information Systems and Management top 5%
- Strategy and Management
- Co-authors
- Param Vir SinghKinshuk JerathYuheng HuYili HongBaohong SunCheng ChenYong TanXue Tan
- Topics
- Digital Marketing and Social Media (12 papers)Social Media and Politics (5 papers)Technology Adoption and User Behaviour (5 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Yingda Lu
25 papers receiving 285 citations
Peers
Comparison fields: 5 of 52
- Sociology and Political Science 169
- Marketing 87
- Communication 76
- Information Systems and Management 63
- Strategy and Management 36
Countries citing papers authored by Yingda Lu
This map shows the geographic impact of Yingda 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 Yingda Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingda Lu more than expected).
Fields of papers citing papers by Yingda Lu
This network shows the impact of papers produced by Yingda 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 Yingda Lu. The network helps show where Yingda Lu may publish in the future.
Co-authorship network of co-authors of Yingda Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Yingda Lu. A scholar is included among the top collaborators of Yingda Lu 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 Yingda Lu. Yingda Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 50 | |
| 7 | 0 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | Learning from Project Failure in Kickstarter | 1 |
| 12 | 8 | |
| 13 | An Examination of Social Comparison Triggered by Higher Donation Visibility over Social Media Platforms | 5 |
| 14 | What Makes Video Ads Viral: Quantifying the Impact of Marketer- and User-Generated Content. | 0 |
| 15 | 1 | |
| 16 | 88 | |
| 17 | An Image Identification Algorithm Based on Digital Signature Method | 2 |
| 18 | Learning from Peers on Social Media Platforms | 2 |
| 19 | Blind Identification for Image Authenticity Based on Lambert Illumination Model | 0 |
| 20 | 10 |
About Yingda Lu
Yingda Lu is a scholar working on Communication, Computer Science Applications and Information Systems and Management, having authored 31 papers that have together received 298 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (12 papers), Social Media and Politics (5 papers) and Technology Adoption and User Behaviour (5 papers). The work is most often cited by research in Communication (76 citations), Marketing (87 citations) and Information Systems and Management (63 citations). Yingda Lu has collaborated with scholars based in United States, China and India. Frequent co-authors include Param Vir Singh, Kinshuk Jerath, Yuheng Hu, Yili Hong, Baohong Sun, Cheng Chen, Yong Tan, Xue Tan, Jian Chen and Junjie Wu. Their work appears in journals such as Management Science, MIS Quarterly and Information & Management.
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.