Shuping Zhao

951 total citations
35 papers, 662 citations indexed

About

Shuping Zhao is a scholar working on Sociology and Political Science, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Shuping Zhao has authored 35 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 9 papers in Information Systems and Management and 9 papers in Management Science and Operations Research. Recurrent topics in Shuping Zhao's work include Digital Marketing and Social Media (8 papers), Technology Adoption and User Behaviour (8 papers) and Multi-Criteria Decision Making (6 papers). Shuping Zhao is often cited by papers focused on Digital Marketing and Social Media (8 papers), Technology Adoption and User Behaviour (8 papers) and Multi-Criteria Decision Making (6 papers). Shuping Zhao collaborates with scholars based in China, Pakistan and Australia. Shuping Zhao's co-authors include Changyong Liang, Dongxiao Gu, Yiming Ma, Junling Zhang, Yuguang Xie, Li Jiang, Changyong Liang, Junfeng Dong, Keqing Li and Mohamed Mahjoub Dhiaf and has published in prestigious journals such as Journal of Business Research, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Shuping Zhao

35 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuping Zhao China 16 163 121 99 91 71 35 662
T. Miranda Lakshmi India 11 164 1.0× 116 1.0× 52 0.5× 32 0.4× 55 0.8× 17 621
Mahmut Bakır Türkiye 15 288 1.8× 59 0.5× 80 0.8× 45 0.5× 93 1.3× 44 773
Jiunn-I Shieh Taiwan 13 339 2.1× 71 0.6× 78 0.8× 61 0.7× 150 2.1× 29 1.0k
Aslan Amat Senin Malaysia 14 167 1.0× 81 0.7× 61 0.6× 37 0.4× 84 1.2× 67 827
Chao Fang China 15 374 2.3× 48 0.4× 156 1.6× 162 1.8× 35 0.5× 48 1.1k
Serkan Altuntaş Türkiye 18 229 1.4× 54 0.4× 49 0.5× 62 0.7× 105 1.5× 49 974
Serhat Burmaoğlu Türkiye 15 219 1.3× 51 0.4× 51 0.5× 55 0.6× 32 0.5× 44 641
I-Shuo Chen Taiwan 11 214 1.3× 54 0.4× 67 0.7× 27 0.3× 83 1.2× 16 635
Gerhard Satzger Germany 17 141 0.9× 205 1.7× 110 1.1× 20 0.2× 72 1.0× 100 984
Yong Seog Kim United States 17 82 0.5× 45 0.4× 135 1.4× 88 1.0× 71 1.0× 37 820

Countries citing papers authored by Shuping Zhao

Since Specialization
Citations

This map shows the geographic impact of Shuping Zhao'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 Shuping Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuping Zhao more than expected).

Fields of papers citing papers by Shuping Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuping Zhao. 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 Shuping Zhao. The network helps show where Shuping Zhao may publish in the future.

Co-authorship network of co-authors of Shuping Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuping Zhao. A scholar is included among the top collaborators of Shuping Zhao 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 Shuping Zhao. Shuping Zhao 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.
Xie, Yuguang, et al.. (2025). Affiliative or self-defeating? Exploring the effect of humor types on customer forgiveness in the context of AI agents’ service failure. Journal of Business Research. 194. 115381–115381. 2 indexed citations
2.
Zhao, Shuping, et al.. (2024). Impact mechanism of social-related social media use on the job performance of caregivers of older adults. Geriatric Nursing. 58. 191–199. 1 indexed citations
3.
Xie, Yuguang, et al.. (2024). The effect of prosocial behavior and its intensity on doctors’ performance in an online health community. Humanities and Social Sciences Communications. 11(1). 6 indexed citations
4.
Zhao, Shuping, et al.. (2024). Perceived value and pressure: drivers or barriers? A study on physicians’ continuous intentions in online health communities. Aslib Journal of Information Management. 1 indexed citations
5.
Xie, Yuguang, et al.. (2023). Estimating the Impact of “Humanizing” AI Assistants. International Journal of Human-Computer Interaction. 40(24). 8876–8889. 1 indexed citations
6.
Wang, Ying, et al.. (2023). The willingness to continue using wearable devices among the elderly: SEM and FsQCA analysis. BMC Medical Informatics and Decision Making. 23(1). 218–218. 13 indexed citations
7.
Zhao, Shuping, et al.. (2022). What influences user participation in an online health community? The stimulus-organism-response model perspective. Aslib Journal of Information Management. 75(2). 364–389. 22 indexed citations
8.
Liang, Changyong, et al.. (2021). What advantages of blockchain affect its adoption in the elderly care industry? A study based on the technology–organisation–environment framework. Technology in Society. 67. 101786–101786. 56 indexed citations
9.
10.
Wang, Ying, Changyong Liang, Shuping Zhao, Yiming Ma, & Yuguang Xie. (2021). How Safety Climate Influences the Willingness to Stay of Nursing Staff during the COVID-19 Outbreak. Healthcare. 9(4). 451–451. 6 indexed citations
11.
Wu, Cisheng, et al.. (2021). Research on the Prediction of Employee Turnover Behavior and Its Interpretability. 760–767. 6 indexed citations
12.
Ma, Yiming, Changyong Liang, Dongxiao Gu, et al.. (2020). How Social Media Use at Work Affects Improvement of Older People’s Willingness to Delay Retirement During Transfer From Demographic Bonus to Health Bonus: Causal Relationship Empirical Study. Journal of Medical Internet Research. 23(2). e18264–e18264. 7 indexed citations
13.
Xie, Yuguang, Dongxiao Gu, Changyong Liang, Shuping Zhao, & Yiming Ma. (2020). How transformational leadership and clan culture influence nursing staff's willingness to stay. Journal of Nursing Management. 28(7). 1515–1524. 25 indexed citations
14.
15.
Liang, Changyong, et al.. (2020). Relief demand forecasting based on intuitionistic fuzzy case-based reasoning. Socio-Economic Planning Sciences. 74. 100932–100932. 25 indexed citations
16.
Liang, Changyong, et al.. (2020). A Method Based on GA-CNN-LSTM for Daily Tourist Flow Prediction at Scenic Spots. Entropy. 22(3). 261–261. 38 indexed citations
17.
Gu, Dongxiao, et al.. (2019). Social Media-Based Health Management Systems and Sustained Health Engagement: TPB Perspective. International Journal of Environmental Research and Public Health. 16(9). 1495–1495. 41 indexed citations
18.
Leng, Ya-Jun, Di Wang, & Shuping Zhao. (2019). Black-Start Decision Making Based on Affinity Propagation and TOPSIS. Electric Power Components and Systems. 47(14-15). 1387–1397. 4 indexed citations
19.
Jiang, Li, Mohamed Mahjoub Dhiaf, Junfeng Dong, Changyong Liang, & Shuping Zhao. (2019). A traveling salesman problem with time windows for the last mile delivery in online shopping. International Journal of Production Research. 58(16). 5077–5088. 44 indexed citations
20.

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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2026