Hui Jin

744 citations
39 papers · 471 · h-index 12

Impact in

Papers in

Hui Jin

34 papers receiving 456 citations

Peers

Hui Jin
Comparison fields: 5 of 88
  • Developmental and Educational Psychology 191
  • Education 328
  • Management, Monitoring, Policy and Law 77
  • Computer Science Applications 20
  • General Agricultural and Biological Sciences 26
Replace Beth A. Covitt with:
Beth A. Covitt United States
Kristin L. Gunckel United States
Hayat Hokayem United States
Catherine Eberbach United States
Iván Salinas Chile
Ian Taylor United Kingdom
Jan Alexis Nielsen Denmark
Jeff Dodick Israel
Amos Dreyfus Israel
Nicole LaDue United States
Hui Jin relative to Beth A. Covitt United States Beth A. Covitt's profile →
Citations per field
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Beth A. Covitt · 1×
Citations per year

Countries citing papers authored by Hui Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hui Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hui Jin Line = papers co-authored together Hui Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012109
2 201950
3 201342
4 201438
5 201533
6 201719
7 201519
8 201717
9 201715
10 201615
11 201815
12 201913
13 201711
14 202010
15 20239
16 20197
17 20127
18 20157
19 20206
20 20236

About Hui Jin

Hui Jin is a scholar working on Education, Developmental and Educational Psychology, Management, Monitoring, Policy and Law, Global and Planetary Change and Sociology and Political Science, having authored 39 papers that have together received 471 indexed citations. Recurring topics across this work include Science Education and Pedagogy (21 papers), Educational Strategies and Epistemologies (12 papers), Environmental Education and Sustainability (8 papers), Education and Critical Thinking Development (7 papers), Innovative Teaching and Learning Methods (5 papers), Fire effects on ecosystems (3 papers), Complex Systems and Decision Making (2 papers) and Disaster Management and Resilience (2 papers). The work is most often cited by research in Developmental and Educational Psychology (191 citations), Education (328 citations), Management, Monitoring, Policy and Law (77 citations), Computer Science Applications (20 citations) and General Agricultural and Biological Sciences (26 citations). Hui Jin has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Charles Anderson, Hayat Hokayem, Hyo Jeong Shin, Jamie N. Mikeska, Zhan Li, Xin Wei, Eric G. Keeling, Farah Qureshi, Duanli Yan and Ren Lai. Their work appears in journals such as International Journal of Science and Mathematics Education, Journal of Research in Science Teaching, International Journal of Science Education, The International Journal of Environmental and Science Education and Research in Science Education.

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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