Tianshi Wu

1.1k total citations
19 papers, 784 citations indexed

About

Tianshi Wu is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and General Health Professions. According to data from OpenAlex, Tianshi Wu has authored 19 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 8 papers in Organizational Behavior and Human Resource Management and 6 papers in General Health Professions. Recurrent topics in Tianshi Wu's work include Digital Marketing and Social Media (9 papers), Customer Service Quality and Loyalty (7 papers) and Technology Adoption and User Behaviour (4 papers). Tianshi Wu is often cited by papers focused on Digital Marketing and Social Media (9 papers), Customer Service Quality and Loyalty (7 papers) and Technology Adoption and User Behaviour (4 papers). Tianshi Wu collaborates with scholars based in China, Hong Kong and United States. Tianshi Wu's co-authors include Xitong Guo, Hualong Yang, Xiaofeng Ju, Shuqin Chen, Hong Wu, Xiaoxiao Liu, Doug Vogel, Wei Zhao, Subodha Kumar and Le Wang and has published in prestigious journals such as Journal of Business Research, Information & Management and Decision Support Systems.

In The Last Decade

Tianshi Wu

18 papers receiving 761 citations

Peers

Tianshi Wu
Comparison fields: 5 of 71
  • Sociology and Political Science 451
  • Organizational Behavior and Human Resource Management 263
  • General Health Professions 236
  • Information Systems and Management 215
  • Communication 136
Replace Chen Xing with:
Chen Xing China
Zapan Barua Bangladesh
Hsien‐Cheng Lin Taiwan
Gregor Petrič Slovenia
Traci Hong United States
Saira Hanif Soroya Pakistan
Rajesh Chandwani India
Yoonmo Sang United States
Jiahua Jin China
Rita Mano Israel
Chen Xing China View profile →
Citations per field, relative to Tianshi Wu
Tianshi Wu · 1×
Citations per year, relative to Tianshi Wu
Tianshi Wu · 1×

Countries citing papers authored by Tianshi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tianshi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianshi Wu

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 4
5 16
6 17
7 14
8 20
9 30
10 10
11 167
12
The Influence of Social Support Networks on Health Conditions Via User Engagement: Gender as a Moderator
15
13 29
14 21
15 14
16
The Impact of Reviews of Physicians on Patient Choice
3
17 131
18 110
19 180

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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