Ying Jin

1.1k total citations
26 papers, 784 citations indexed

About

Ying Jin is a scholar working on Management Science and Operations Research, Surgery and Social Psychology. According to data from OpenAlex, Ying Jin has authored 26 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 6 papers in Surgery and 6 papers in Social Psychology. Recurrent topics in Ying Jin's work include Psychometric Methodologies and Testing (12 papers), Advanced Statistical Modeling Techniques (4 papers) and Pelvic floor disorders treatments (4 papers). Ying Jin is often cited by papers focused on Psychometric Methodologies and Testing (12 papers), Advanced Statistical Modeling Techniques (4 papers) and Pelvic floor disorders treatments (4 papers). Ying Jin collaborates with scholars based in United States, China and United Kingdom. Ying Jin's co-authors include Nicholas D. Myers, Soyeon Ahn, William R. Lenderking, Dennis A. Revicki, Wen‐Hung Chen, Heather L. Gelhorn, Kathleen W. Wyrwich, Suwen Feng, Isaac Prilleltensky and Ora Prilleltensky and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Quality of Life Research and International Journal of Nursing Studies.

In The Last Decade

Ying Jin

25 papers receiving 753 citations

Peers

Ying Jin
Comparison fields: 5 of 120
  • Clinical Psychology 180
  • Social Psychology 162
  • General Health Professions 125
  • Applied Psychology 104
  • Experimental and Cognitive Psychology 92
Replace Simon Grund with:
Simon Grund Germany
Ida Marais Australia
Eduardo Doval Spain
Cornelia Zeisser Canada
Heather L. McDaniel United States
Tanya Goyal United States
Alistair Campbell Australia
Mary Lavelle United Kingdom
Don W. Nance United States
Simon Grund Germany View profile →
Citations per field, relative to Ying Jin
Ying Jin · 1×
Citations per year, relative to Ying Jin
Ying Jin · 1×

Countries citing papers authored by Ying Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ying Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Jin. A scholar is included among the top collaborators of Ying Jin 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 Ying Jin. Ying Jin 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
# Work Indexed citations
1 1
2 30
3 9
4 15
5 7
6 8
7 3
8 9
9 6
10 8
11 20
12 83
13 32
14 9
15 133
16 10
17 22
18 12
19 278
20 13

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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