Ding–Yu Jiang

1.6k citations
15 papers · 613 · h-index 10

Impact in

Papers in

Ding–Yu Jiang

13 papers receiving 572 citations

Peers

Ding–Yu Jiang
Comparison fields: 5 of 67
  • Organizational Behavior and Human Resource Management 300
  • Social Psychology 296
  • Applied Psychology 43
  • Communication 64
  • Demography 64
Replace Mark Gavin with:
Mark Gavin United States
David A. Richards Canada
Zahide Karakitapoğlu‐Aygün Türkiye
Daniel W. Newton United States
Kelly Z. Peng China
Tsung‐Yu Wu Taiwan
Herman H.M. Tse Australia
Scott A. Goodman United States
Muhammad Abdur Rahman Malik Pakistan
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 2003167
2 2009130
3 2013108
4 201742
5 201441
6 200827
7 201625
8 201023
9 201123
10 201216
11 20136
12 20103
13 20072
14 20180
15 20250

About Ding–Yu Jiang

Ding–Yu Jiang is a scholar working on Social Psychology, Organizational Behavior and Human Resource Management, Sociology and Political Science, Strategy and Management and Communication, having authored 15 papers that have together received 613 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), Attachment and Relationship Dynamics (2 papers), Organizational Leadership and Management Strategies (2 papers), Social and Intergroup Psychology (2 papers), Psychological Well-being and Life Satisfaction (1 paper) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (300 citations), Social Psychology (296 citations), Applied Psychology (43 citations), Communication (64 citations) and Demography (64 citations). Ding–Yu Jiang has collaborated with scholars based in Taiwan, United States and Brazil. Frequent co-authors include Bor‐Shiuan Cheng, Mustapha Achoui, Maria Cristina Ferreira, Charles Harb, Ronald Fischer, Eveline María Leal Assmar, Sharon Glazer, Changya Hu, Jan Hofer and Joscha Kärtner. Their work appears in journals such as Journal of International Business Studies, Asian Journal Of Social Psychology, Journal of Cross-Cultural Psychology, Social Justice Research and Physiology & Behavior.

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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