Shaoxiong Fu

918 citations
21 papers · 634 indexed · 1 hit paper · h-index 9
Topics
Technology Adoption and User Behaviour (8 papers)Impact of Technology on Adolescents (7 papers)Knowledge Management and Sharing (5 papers)
Partner nations
ChinaFinlandSingapore

In The Last Decade

Shaoxiong Fu

20 papers receiving 613 citations

Hit Papers

Social media overload, exhaustion, and use discontinuance...2020202620222024202050100150200250

Peers

Shaoxiong Fu
Comparison fields: 5 of 83
  • Sociology and Political Science 461
  • Information Systems and Management 176
  • Communication 106
  • Social Psychology 101
  • Marketing 97
Replace Christian Hinsch with:
Christian Hinsch United States
Helena Wenninger United Kingdom
Guanxiong Huang Hong Kong
Kelty Logan United States
Tyler Hancock United States
Hongjin Shim South Korea
Xinlin Yao China
Shalini Bahl United States
Soo Yun Shin United States
Sarah Butt United Kingdom
Shaoxiong Fu relative to Christian Hinsch United States Christian Hinsch's profile →
Citations per field
00.5×3.2×
Christian Hinsch · 1×
Citations per year

Countries citing papers authored by Shaoxiong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shaoxiong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoxiong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoxiong Fu. A scholar is included among the top collaborators of Shaoxiong Fu 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 Shaoxiong Fu. Shaoxiong Fu 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
#WorkIndexed citations
1 0
2 5
3 3
4 2
5 4
6 4
7 9
8 18
9 6
10 3
11 5
12 13
13 28
14 3
15 56
16 9
17
Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overloadbreakdown →
289
18 126
19 1
20 6

About Shaoxiong Fu

Shaoxiong Fu is a scholar working on Information Systems and Management, Communication and Library and Information Sciences, having authored 21 papers that have together received 634 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (8 papers), Impact of Technology on Adolescents (7 papers) and Knowledge Management and Sharing (5 papers). The work is most often cited by research in Information Systems and Management (176 citations), Communication (106 citations) and Applied Psychology (60 citations). Shaoxiong Fu has collaborated with scholars based in China, Finland and Singapore. Frequent co-authors include Hongxiu Li, Xiaoyu Chen, Liu Yong, Markus Salo, Henri Pirkkalainen, Han Zheng, Yong Liu, Yanqing Lin, Xun Zhou and Shengli Deng. Their work appears in journals such as Atmospheric Environment, Journal of the Association for Information Systems and Scientometrics.

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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