Yüan Shen

608 citations
34 papers · 244 indexed · 1 hit paper · h-index 7
Topics
Pharmacovigilance and Adverse Drug Reactions (3 papers)Online Learning and Analytics (3 papers)COVID-19 and Mental Health (3 papers)

In The Last Decade

Yüan Shen

27 papers receiving 236 citations

Hit Papers

Beware of metacognitive laziness: Effects of generative a...2024202620252024255075100

Peers

Yüan Shen
Comparison fields: 5 of 99
  • Artificial Intelligence 51
  • Computer Science Applications 45
  • Developmental and Educational Psychology 32
  • Health Informatics 23
  • Biomedical Engineering 21
Replace Gyeong-Geon Lee with:
Gyeong-Geon Lee South Korea
Borui Zhang China
Mohammadreza Valızadeh Türkiye
Sarah Grundy Australia
Daisy Yi Ding United States
Lian Zhang China
Dominik Spińczyk Poland
Ann Yuan United States
Yohandri Yohandri Indonesia
Daniel Ritchie United States
Yüan Shen relative to Gyeong-Geon Lee South Korea Gyeong-Geon Lee's profile →
Citations per field
00.5×1.5×2.1×
Gyeong-Geon Lee · 1×
Citations per year

Countries citing papers authored by Yüan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yüan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yüan Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yüan Shen. A scholar is included among the top collaborators of Yüan Shen 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 Yüan Shen. Yüan Shen 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 2
2 2
3 0
4 1
5 7
6 0
7 10
8 3
9 6
10 0
11
Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performancebreakdown →
108
12 4
13 5
14 1
15 25
16 1
17 2
18 4
19 9
20 1

About Yüan Shen

Yüan Shen is a scholar working on Health Informatics, Toxicology and Applied Psychology, having authored 34 papers that have together received 244 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (3 papers), Online Learning and Analytics (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Health Informatics (23 citations), Computer Science Applications (45 citations) and Developmental and Educational Psychology (32 citations). Yüan Shen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tianshou Zhao, Xinyu Li, Shufang Tan, Huixiao Le, Yizhou Fan, Dragan Gašević, Honghao Yu, Haifeng Liu, Qiang Ao and Ying Jiang. Their work appears in journals such as Scientific Reports, Journal of Affective Disorders and BMJ Open.

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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