Mu Yang

1.0k total citations
52 papers, 664 citations indexed

About

Mu Yang is a scholar working on Sociology and Political Science, Artificial Intelligence and Marketing. According to data from OpenAlex, Mu Yang has authored 52 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Sociology and Political Science, 14 papers in Artificial Intelligence and 13 papers in Marketing. Recurrent topics in Mu Yang's work include Digital Marketing and Social Media (16 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Mu Yang is often cited by papers focused on Digital Marketing and Social Media (16 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Privacy-Preserving Technologies in Data (5 papers). Mu Yang collaborates with scholars based in United Kingdom, China and Taiwan. Mu Yang's co-authors include Chunjia Han, Vladimiro Sassone, Andrea Margheri, Yuanjun Zhao, Stephen Thomas, Petros Ieromonachou, Shizhen Bai, Md Sadek Ferdous, Hongru Zhang and Brij B. Gupta and has published in prestigious journals such as PLoS ONE, Journal of Business Research and Energy Economics.

In The Last Decade

Mu Yang

45 papers receiving 634 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mu Yang United Kingdom 15 228 120 120 117 115 52 664
Mansour Naser Alraja Oman 15 147 0.6× 145 1.2× 96 0.8× 122 1.0× 146 1.3× 31 684
Huosong Xia China 14 161 0.7× 96 0.8× 67 0.6× 106 0.9× 157 1.4× 61 597
Albérico Travassos Rosário Portugal 14 179 0.8× 186 1.6× 84 0.7× 160 1.4× 79 0.7× 49 825
Kun Chen China 15 162 0.7× 93 0.8× 100 0.8× 256 2.2× 117 1.0× 47 699
Shuyang Li China 12 156 0.7× 110 0.9× 44 0.4× 62 0.5× 86 0.7× 27 552
Yu-Min Wang Taiwan 11 192 0.8× 129 1.1× 67 0.6× 148 1.3× 117 1.0× 39 997
Prabin Kumar Panigrahi India 16 123 0.5× 64 0.5× 90 0.8× 171 1.5× 231 2.0× 45 813
Ke‐Wei Huang Singapore 15 103 0.5× 131 1.1× 98 0.8× 89 0.8× 71 0.6× 69 692
Farzana Parveen Tajudeen Malaysia 12 217 1.0× 69 0.6× 45 0.4× 51 0.4× 76 0.7× 32 634
Guoyin Jiang China 18 423 1.9× 168 1.4× 47 0.4× 55 0.5× 88 0.8× 48 906

Countries citing papers authored by Mu Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Yang. A scholar is included among the top collaborators of Mu Yang 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 Mu Yang. Mu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Han, Chunjia, et al.. (2025). Unlocking the Service Attractiveness of AI Assistants: Does Multi‐Modal Anthropomorphic Interaction Dynamically Manipulate Users' Mindset Metrics?. Journal of Consumer Behaviour. 24(6). 2772–2792. 1 indexed citations
3.
Bai, Shizhen, et al.. (2025). From reviews to product titles: How to nudge consumer purchase decisions. Electronic Commerce Research and Applications. 73. 101539–101539.
4.
5.
Han, Chunjia, Mu Yang, George Saridakis, & Vladimiro Sassone. (2025). Team Experience and ICO Success: An Empirical Study of Entrepreneurs in Blockchain Projects. IEEE Transactions on Engineering Management. 72. 1334–1347.
6.
Zhao, Jia, Siyu Zhang, Guoan Wang, et al.. (2025). MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving. 4551–4558.
7.
Yang, Mu, Joseph Amankwah‐Amoah, Chunjia Han, & Brij B. Gupta. (2025). Exploring human-machine collaboration in metaverse communities: utilitarian vs. hedonic dimensions in enhancing user immersion. Transportation Research Part E Logistics and Transportation Review. 204. 104423–104423.
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Bai, Shizhen, Chunjia Han, Mu Yang, et al.. (2024). Unveiling the Evolution of Enterprise Digital Innovation Strategies: Insights From U.S.-Listed Companies' Annual Reports. IEEE Transactions on Computational Social Systems. 11(6). 8243–8256. 1 indexed citations
10.
Bai, Shizhen, Songlin Shi, Chunjia Han, et al.. (2024). Prioritizing user requirements for digital products using explainable artificial intelligence: A data-driven analysis on video conferencing apps. Future Generation Computer Systems. 158. 167–182. 5 indexed citations
11.
Han, Chunjia, et al.. (2024). Risk disclosure and entrepreneurial resource acquisition in crowdfunding digital platforms: Evidence from digital technology ventures. Information Processing & Management. 61(3). 103655–103655. 8 indexed citations
12.
Huang, Guowei, et al.. (2024). Information disclosure and funding success of green crowdfunding campaigns: a study on GoFundMe. Financial Innovation. 10(1). 1 indexed citations
13.
Han, Chunjia, et al.. (2024). Measuring the relationship between museum attributes and visitors: An application of topic model on museum online reviews. PLoS ONE. 19(7). e0304901–e0304901. 4 indexed citations
14.
Bai, Shizhen, et al.. (2023). Enablers or Inhibitors? Unpacking the Emotional Power Behind In-Vehicle AI Anthropomorphic Interaction: A Dual-Factor Approach by Text Mining. IEEE Transactions on Engineering Management. 71. 13149–13165. 8 indexed citations
15.
Bai, Shizhen, et al.. (2023). Exploring thematic influences on theme park visitors' satisfaction: An empirical study on Disneyland China. Journal of Consumer Behaviour. 23(1). 90–106. 28 indexed citations
16.
Bai, Shizhen, et al.. (2023). Exploring the Over-Time Variation in Customer Concerns on Sharing Economy Services. Journal of Global Information Management. 31(1). 1–21. 3 indexed citations
17.
Han, Chunjia, et al.. (2021). Big data, big challenges: risk management of financial market in the digital economy. Journal of Enterprise Information Management. 35(4/5). 1288–1304. 37 indexed citations
18.
Han, Chunjia, et al.. (2021). Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts. Technological Forecasting and Social Change. 169. 120849–120849. 37 indexed citations
19.
Yang, Mu, et al.. (2020). Focus on Characteristics of COVID-19 with the Special Reference to the Impact of COVID-19 on the Urogenital System. Current Urology. 14(2). 79–84. 5 indexed citations
20.
Dickens, Luke, Alessandra Russo, Arosha K. Bandara, et al.. (2017). Learning to share: Engineering adaptive decision-support for online social networks. Greenwich Academic Literature Archive (University of Greenwich). 10. 280–285. 3 indexed citations

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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