Song Ju

1.1k total citations
22 papers, 709 citations indexed

About

Song Ju is a scholar working on Safety Research, Education and Clinical Psychology. According to data from OpenAlex, Song Ju has authored 22 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Safety Research, 11 papers in Education and 9 papers in Clinical Psychology. Recurrent topics in Song Ju's work include Disability Education and Employment (14 papers), Family and Disability Support Research (5 papers) and Education Systems and Policy (5 papers). Song Ju is often cited by papers focused on Disability Education and Employment (14 papers), Family and Disability Support Research (5 papers) and Education Systems and Policy (5 papers). Song Ju collaborates with scholars based in United States. Song Ju's co-authors include Dalun Zhang, Eric Roberts, Leena Jo Landmark, Antonis Katsiyannis, Hsien‐Yuan Hsu, David E. Barrett, Oi‐Man Kwok, Yan Li, Casey Hord and Jiun‐Yu Wu and has published in prestigious journals such as Exceptional Children, Journal of Child and Family Studies and The Journal of Early Adolescence.

In The Last Decade

Song Ju

20 papers receiving 650 citations

Peers

Song Ju
Comparison fields: 5 of 68
  • Safety Research 388
  • Education 328
  • Clinical Psychology 258
  • Demography 113
  • Sociology and Political Science 106
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Citations per field, relative to Song Ju
Song Ju · 1×
Citations per year, relative to Song Ju
Song Ju · 1×

Countries citing papers authored by Song Ju

Since Specialization
Citations

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

Fields of papers citing papers by Song Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Song Ju. A scholar is included among the top collaborators of Song Ju 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 Song Ju. Song Ju 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 3
2 4
3 2
4 5
5
Culturally and Linguistically Diverse Family Involvement in Transition Planning: A Research Synthesis.
5
6 18
7 32
8
CAREER PLANNING and TRANSITION for STUDENTS with MENTAL HEALTH ISSUES: Integrated Services at K-12 Settings
0
9 6
10 36
11 10
12 21
13
Examining Employer Attitudes and Valued Employability Skills For Individuals With and Without Disabilities
1
14 95
15
The Effect of Web-based Mentoring Career Education Program on Career Planning Capacity and Self-efficacy related to Career Decision of Students with Disabilities in High School Special Education Classroom
3
16 92
17 26
18 149
19 44
20 43

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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