Mingnan Liu
Impact in
- Applied Psychology top 10%
- Behavioral Health and Interventions
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- Survey Methodology and Nonresponse
- Social and Intergroup Psychology
- Focus Groups and Qualitative Methods
Papers in
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- Mobile Crowdsensing and Crowdsourcing 6
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- Survey Methodology and Nonresponse 24
- Social and Intergroup Psychology 9
- Focus Groups and Qualitative Methods 5
- Co-authors
- Frederick G. ConradYichen WangAlexandru CernatKevin StainbackBai SunYong ZhaoShuangsuo MaoYusheng Yang
- Journals
- Social Science Computer Review (5 papers)Computers in Human Behavior (3 papers)ACS Applied Nano Materials (3 papers)International Journal of Market Research (3 papers)Public Opinion Quarterly (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mingnan Liu
45 papers receiving 648 citations
Peers
Comparison fields: 5 of 131
- Applied Psychology 47
- Sociology and Political Science 276
- Communication 41
- Computer Science Applications 31
- Statistics and Probability 38
Countries citing papers authored by Mingnan Liu
This map shows the geographic impact of Mingnan Liu'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 Mingnan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingnan Liu more than expected).
Fields of papers citing papers by Mingnan Liu
This network shows the impact of papers produced by Mingnan Liu. 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 Mingnan Liu. The network helps show where Mingnan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingnan Liu, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 27 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 24 | |
| 14 | 2023 | 12 | |
| 15 | 2018 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2016 | 16 | |
| 18 | 2016 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2008 | 5 |
About Mingnan Liu
Mingnan Liu is a scholar working on Computer Science Applications, Sociology and Political Science, Statistics and Probability, Communication and Polymers and Plastics, having authored 46 papers that have together received 688 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (24 papers), Advanced Memory and Neural Computing (15 papers), Social and Intergroup Psychology (9 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Transition Metal Oxide Nanomaterials (6 papers), Photoreceptor and optogenetics research (5 papers) and Focus Groups and Qualitative Methods (5 papers). The work is most often cited by research in Applied Psychology (47 citations), Sociology and Political Science (276 citations), Communication (41 citations), Computer Science Applications (31 citations) and Statistics and Probability (38 citations). Mingnan Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Frederick G. Conrad, Yichen Wang, Alexandru Cernat, Kevin Stainback, Bai Sun, Yong Zhao, Shuangsuo Mao, Yusheng Yang, Florian Keusch and Sung-Hee Lee. Their work appears in journals such as Social Science Computer Review, Computers in Human Behavior, ACS Applied Nano Materials, International Journal of Market Research and Public Opinion Quarterly.
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.