Jin Wen

525 citations
17 papers · 376 indexed · h-index 7
Topics
Psychological Well-being and Life Satisfaction (4 papers)Sleep and related disorders (3 papers)Health disparities and outcomes (3 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Jin Wen

17 papers receiving 364 citations

Peers

Jin Wen
Comparison fields: 5 of 77
  • Clinical Psychology 185
  • Social Psychology 142
  • Health 115
  • Experimental and Cognitive Psychology 83
  • General Health Professions 58
Replace Parthenia Giannakopoulou with:
Parthenia Giannakopoulou United Kingdom
Siyun Peng United States
Julianne Holt-Lunstad United States
Brendan O’Shea United States
Julia S. Nakamura United States
Archana Singh India
Nishi Misra India
Emily S. Zevon United States
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Citations per field
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Parthenia Giannakopoulou · 1×
Citations per year

Countries citing papers authored by Jin Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Wen

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 2
5 9
6 6
7 6
8 11
9 40
10 2
11 5
12 58
13 220
14
Do Happiness and Optimism Promote Healthy and Unhealthy Food Consumption in Daily Life
1
15 9
16
A Cryptographic Key Assignment Scheme with Adaptable Timetoken Constraint in a Hierarchy
2
17 2

About Jin Wen

Jin Wen is a scholar working on Neuropsychology and Physiological Psychology, Applied Psychology and Experimental and Cognitive Psychology, having authored 17 papers that have together received 376 indexed citations. Recurring topics across this work include Psychological Well-being and Life Satisfaction (4 papers), Sleep and related disorders (3 papers) and Health disparities and outcomes (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (45 citations), Health (115 citations) and Clinical Psychology (185 citations). Jin Wen has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Nancy L. Sin, Patrick Klaiber, Anita DeLongis, David M. Almeida, Orfeu M. Buxton, Iain Beehuat Tan, Peh Yean Cheah, Anthony D. Ong, Patrick Tan and Axel M. Hillmer. Their work appears in journals such as Medicine & Science in Sports & Exercise, Health Psychology and Psychosomatic Medicine.

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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