Mu Yang
Impact in
- Marketing top 5%
- Sharing Economy and Platforms
-
- Open Source Software Innovations
Papers in
-
- Digital Marketing and Social Media 16
-
- Privacy-Preserving Technologies in Data 5
- Cryptography and Data Security 4
- AI in Service Interactions 4
- Co-authors
- Chunjia Han (37 shared papers)Andrea Margheri (3 shared papers)Vladimiro Sassone (6 shared papers)Yuanjun Zhao (2 shared papers)Shizhen Bai (15 shared papers)Stephen Thomas (2 shared papers)Brij B. Gupta (11 shared papers)Petros Ieromonachou (2 shared papers)
- Journals
- IEEE Transactions on Engineering Management (4 papers)British Food Journal (3 papers)Technological Forecasting and Social Change (3 papers)Journal of Consumer Behaviour (2 papers)Frontiers in Psychology (2 papers)
- Partner nations
- United KingdomChinaTaiwan
In The Last Decade
Mu Yang
48 papers receiving 668 citations
Peers
Comparison fields: 5 of 90
- Marketing 123
- Computer Science Applications 51
- Communication 56
- Business and International Management 15
- Management Information Systems 60
Countries citing papers authored by Mu Yang
This map shows the geographic impact of Mu Yang'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 Mu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Yang more than expected).
Fields of papers citing papers by Mu Yang
This network shows the impact of papers produced by Mu Yang. 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 Mu Yang. The network helps show where Mu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mu Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2021 | 57 | |
| 3 | 2017 | 49 | |
| 4 | 2018 | 45 | |
| 5 | 2021 | 44 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 38 | |
| 8 | 2017 | 34 | |
| 9 | 2009 | 33 | |
| 10 | 2023 | 31 | |
| 11 | 2014 | 26 | |
| 12 | 2024 | 22 | |
| 13 | 2022 | 20 | |
| 14 | 2020 | 16 | |
| 15 | 2017 | 14 | |
| 16 | 2019 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2024 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2023 | 9 |
About Mu Yang
Mu Yang is a scholar working on Sociology and Political Science, Artificial Intelligence, Marketing, Economics and Econometrics and Strategy and Management, having authored 52 papers that have together received 694 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (16 papers), Consumer Behavior in Brand Consumption and Identification (6 papers), Privacy-Preserving Technologies in Data (5 papers), Cryptography and Data Security (4 papers), Blockchain Technology Applications and Security (4 papers), Sharing Economy and Platforms (4 papers), Open Source Software Innovations (4 papers) and AI in Service Interactions (4 papers). The work is most often cited by research in Marketing (123 citations), Computer Science Applications (51 citations), Communication (56 citations), Business and International Management (15 citations) and Management Information Systems (60 citations). Mu Yang has collaborated with scholars based in United Kingdom, China and Taiwan. Frequent co-authors include Chunjia Han, Andrea Margheri, Vladimiro Sassone, Yuanjun Zhao, Shizhen Bai, Stephen Thomas, Brij B. Gupta, Petros Ieromonachou, Hongru Zhang and Md Sadek Ferdous. Their work appears in journals such as IEEE Transactions on Engineering Management, British Food Journal, Technological Forecasting and Social Change, Journal of Consumer Behaviour and Frontiers in Psychology.
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.