Haiying Long

1.2k citations
54 papers · 821 · h-index 18

Impact in

Papers in

Haiying Long

45 papers receiving 793 citations

Peers

Haiying Long
Comparison fields: 5 of 105
  • Experimental and Cognitive Psychology 341
  • Clinical Psychology 186
  • Visual Arts and Performing Arts 36
  • Social Psychology 137
  • Developmental and Educational Psychology 73
Replace Ros McLellan with:
Ros McLellan United Kingdom
Weiguo Pang China
Arnulf Deppermann Germany
Emily J. Shaw United States
Yeow Meng Thum United States
Karen B. Rogers United States
Serge F. Hein United States
Emily Rhodes United States
Joe Winston United Kingdom
Lori Olafson United States
Haiying Long relative to Ros McLellan United Kingdom Ros McLellan's profile →
Citations per field
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Ros McLellan · 1×
Citations per year

Countries citing papers authored by Haiying Long

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haiying Long, 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 Haiying Long Line = papers co-authored together Haiying Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 202067
3 201664
4 201454
5 201445
6 202045
7 201640
8 201630
9 201430
10 202227
11 202223
12 201920
13 201920
14 202220
15 201818
16 201818
17 201218
18 201918
19 202016
20 202015

About Haiying Long

Haiying Long is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology, Social Psychology, Sociology and Political Science and Education, having authored 54 papers that have together received 821 indexed citations. Recurring topics across this work include Creativity in Education and Neuroscience (19 papers), Education, Achievement, and Giftedness (11 papers), Motivation and Self-Concept in Sports (7 papers), Child Abuse and Trauma (4 papers), Visual and Cognitive Learning Processes (4 papers), Optimism, Hope, and Well-being (3 papers), Early Childhood Education and Development (3 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (341 citations), Clinical Psychology (186 citations), Visual Arts and Performing Arts (36 citations), Social Psychology (137 citations) and Developmental and Educational Psychology (73 citations). Haiying Long has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Weiguo Pang, Maureen C. Kenny, Alena Prikhidko, Michael G. Wheaton, Jonathan A. Plucker, Jue Wang, Alejandro Vázquez, Barbara A. Kerr, D G Thompson and Chaoying Tang. Their work appears in journals such as Thinking Skills and Creativity, Creativity Research Journal, International Journal of Environmental Research and Public Health, Psychology of Aesthetics Creativity and the Arts and Social Psychology of 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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