Hao‐Chieh Lin

835 citations
22 papers · 674 · h-index 11

Impact in

Papers in

Hao‐Chieh Lin

21 papers receiving 610 citations

Peers

Hao‐Chieh Lin
Comparison fields: 5 of 58
  • Organizational Behavior and Human Resource Management 314
  • Strategy and Management 258
  • Management of Technology and Innovation 94
  • Accounting 110
  • Leadership and Management 10
Replace Stephen W Nason with:
Stephen W Nason Hong Kong
Willie E. Hopkins United States
Tung‐Chun Huang Taiwan
Keiko Toya Japan
Vickie Coleman Gallagher United States
Dorothea Roumpi United States
Maria Carmen Galang Canada
Marc Ohana France
Kenneth Cafferkey Malaysia
Hao‐Chieh Lin relative to Stephen W Nason Hong Kong Stephen W Nason's profile →
Citations per field
00.5×2.7×
Stephen W Nason · 1×
Citations per year

Countries citing papers authored by Hao‐Chieh Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hao‐Chieh Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao‐Chieh Lin. 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 Hao‐Chieh Lin. The network helps show where Hao‐Chieh Lin may publish in the future.

Co-authors

The 19 scholars most cited alongside Hao‐Chieh Lin, 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 Hao‐Chieh Lin Line = papers co-authored together Hao‐Chieh Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010164
2 2003150
3 201472
4 200671
5 200851
6 201650
7 202021
8 201020
9 202018
10 201816
11 201811
12 20097
13 20216
14 20104
15 20063
16 20143
17 20152
18 20092
19 20231
20 20221

About Hao‐Chieh Lin

Hao‐Chieh Lin is a scholar working on Strategy and Management, Organizational Behavior and Human Resource Management, Accounting, Gender Studies and Social Psychology, having authored 22 papers that have together received 674 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (8 papers), Job Satisfaction and Organizational Behavior (8 papers), Corporate Finance and Governance (5 papers), Gender Diversity and Inequality (4 papers), Business Strategy and Innovation (3 papers), International Business and FDI (2 papers), Entrepreneurship Studies and Influences (2 papers) and Islamic Finance and Banking Studies (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (314 citations), Strategy and Management (258 citations), Management of Technology and Innovation (94 citations), Accounting (110 citations) and Leadership and Management (10 citations). Hao‐Chieh Lin has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Ing‐Chung Huang, John G. Michel, Ming‐Jer Chen, Chih‐Ting Shih, Chih‐Hsun Chuang, Sheng‐Tsung Hou, Chia‐Yen Chiu, Pei‐Chun Lin, Cheri Ostroff and Erik Paolo S. Capistrano. Their work appears in journals such as Academy of Management Perspectives, Asia Pacific Journal of Management, Journal of General Management, Strategic Management Journal and Industrial Marketing Management.

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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