Ding–Yu Jiang

1.6k citations
15 papers · 602 indexed · h-index 10

Impact in

Papers in

Ding–Yu Jiang

13 papers receiving 561 citations

Peers

Ding–Yu Jiang
Comparison fields: 5 of 73
  • Organizational Behavior and Human Resource Management 301
  • Social Psychology 300
  • Communication 64
  • Applied Psychology 46
  • Demography 64
Replace Mark Gavin with:
Mark Gavin United States
David A. Richards Canada
Daniel W. Newton United States
Zahide Karakitapoğlu‐Aygün Türkiye
Héctor P. Madrid Chile
Kelly Z. Peng China
Tsung‐Yu Wu Taiwan
Herman H.M. Tse Australia
Scott A. Goodman United States
Lynn K. Harland United States
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Citations per field
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Citations per year

Countries citing papers authored by Ding–Yu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ding–Yu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding–Yu Jiang. 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 Ding–Yu Jiang. The network helps show where Ding–Yu Jiang may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2003164
2 2009129
3 2013106
4 201741
5 201439
6 200827
7 201624
8 201023
9 201122
10 201216
11 20136
12 20103
13 20072
14 20250
15 20180

About Ding–Yu Jiang

Ding–Yu Jiang is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology, Communication, Strategy and Management and Experimental and Cognitive Psychology, having authored 15 papers that have together received 602 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (9 papers), Cultural Differences and Values (5 papers), Customer Service Quality and Loyalty (4 papers), Organizational Leadership and Management Strategies (2 papers), Attachment and Relationship Dynamics (2 papers), Social and Intergroup Psychology (2 papers), Knowledge Management and Sharing (1 paper) and Social and Cultural Dynamics (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (301 citations), Social Psychology (300 citations), Communication (64 citations), Applied Psychology (46 citations) and Demography (64 citations). Ding–Yu Jiang has collaborated with scholars based in Taiwan, Brazil and United States. Frequent co-authors include Bor‐Shiuan Cheng, Mustapha Achoui, Maria Cristina Ferreira, Ronald Fischer, Charles Harb, Eveline María Leal Assmar, Jan Hofer, Changya Hu, Paul Redford and Joscha Kärtner. Their work appears in journals such as Journal of Cross-Cultural Psychology, Journal of International Business Studies, Asian Journal Of Social Psychology, Journal of Vocational Behavior and Social Justice Research.

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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