Daniel Z. Ding

1.7k citations
36 papers · 1.2k indexed · h-index 19

Daniel Z. Ding

33 papers receiving 1.1k citations

Peers

Daniel Z. Ding
Comparison fields: 5 of 80
  • Organizational Behavior and Human Resource Management 530
  • Strategy and Management 520
  • Public Administration 100
  • Communication 169
  • Accounting 257
Replace Nancy Brown Johnson with:
Nancy Brown Johnson United States
Peer Hull Kristensen Denmark
Scott E. Bryant United States
Sean A. Way United States
Mary B. Teagarden United States
Frank M. Horwitz South Africa
Lloyd Baird United States
Jean‐Louis Barsoux United Kingdom
Behlül Üsdiken Türkiye
Nikolai Rogovsky Switzerland
Daniel Z. Ding relative to Nancy Brown Johnson United States Nancy Brown Johnson's profile →
Citations per field
00.5×2.6×
Nancy Brown Johnson · 1×
Citations per year

Countries citing papers authored by Daniel Z. Ding

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Z. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Z. Ding. 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 Daniel Z. Ding. The network helps show where Daniel Z. Ding may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Daniel Z. Ding, 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 Daniel Z. Ding Line = papers co-authored together Daniel Z. Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 202431
4 20221
5 20204
6 201729
7 20130
8 20117
9 200931
10 2008156
11 200743
12 200424
13 200286
14 20017
15 20011
16 200165
17 199940
18 19984
19 199618
20
Control strategy and performance of U.S.-Chinese joint ventures
19934

About Daniel Z. Ding

Daniel Z. Ding is a scholar working on Public Administration, Accounting, Strategy and Management, Organizational Behavior and Human Resource Management and General Economics, Econometrics and Finance, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include International Business and FDI (15 papers), Corporate Finance and Governance (13 papers), China's Socioeconomic Reforms and Governance (6 papers), Migration, Ethnicity, and Economy (6 papers), Family Business Performance and Succession (5 papers), Global trade and economics (5 papers), Labor Movements and Unions (5 papers) and Job Satisfaction and Organizational Behavior (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (530 citations), Strategy and Management (520 citations), Public Administration (100 citations), Communication (169 citations) and Accounting (257 citations). Daniel Z. Ding has collaborated with scholars based in Hong Kong, Australia and United Kingdom. Frequent co-authors include Syed Akhtar, Gloria L. Ge, Malcolm Warner, Keith Goodall, Farong Li, Dail Fields, Dean Tjosvold, Chun Hui, Xiaoyu Wu and Irene Hau‐Siu Chow. Their work appears in journals such as The International Journal of Human Resource Management, Asia Pacific Journal of Management, Multinational Business Review, Journal of Management Development and Journal of Global Marketing.

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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