Shunsen Huang

441 citations
16 papers · 270 indexed · 1 hit paper · h-index 10

Shunsen Huang

15 papers receiving 262 citations

Hit Papers

AI Technology panic—is AI Dependence Bad for Mental Healt...2024202620252024102030

Peers

Shunsen Huang
Comparison fields: 5 of 44
  • Sociology and Political Science 165
  • Experimental and Cognitive Psychology 93
  • Education 78
  • Applied Psychology 68
  • Clinical Psychology 41
Replace Xiaoxiong Lai with:
Xiaoxiong Lai China
Yu-Feng Wu Taiwan
Huaibin Jiang China
Sándor Csibi Hungary
Xuemei Gao China
Ivan Ropovik Slovakia
Michael Kardas United States
Christiane Arrivillaga Spain
Yeo-Ju Chung South Korea
Reza Shabahang Iran
Shunsen Huang relative to Xiaoxiong Lai China Xiaoxiong Lai's profile →
Citations per field
00.5×1.5×
Xiaoxiong Lai · 1×
Citations per year

Countries citing papers authored by Shunsen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shunsen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunsen Huang

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2
AI Technology panic—is AI Dependence Bad for Mental Health? A Cross-Lagged Panel Model and the Mediating Roles of Motivations for AI Use Among Adolescentsbreakdown →
39
3 11
4 11
5 6
6 11
7 3
8 5
9 11
10 5
11 28
12 19
13 12
14 5
15 62
16 42

About Shunsen Huang

Shunsen Huang is a scholar working on Applied Psychology, Communication and Education, having authored 16 papers that have together received 270 indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (13 papers), Child Development and Digital Technology (8 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Applied Psychology (68 citations), Experimental and Cognitive Psychology (93 citations) and Sociology and Political Science (165 citations). Shunsen Huang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yun Wang, Xiaoxiong Lai, Yajun Li, Yuhan Luo, Huanlei Wang, Jia Yan, Tao Xin, Xia Wang, Yuan‐Wei Yao and Li Ke. Their work appears in journals such as Journal of Child Psychology and Psychiatry, International Journal of Environmental Research and Public Health and Frontiers in Psychiatry.

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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