Chia‐Ling Lee

25 papers receiving 968 citations

Peers

Chia‐Ling Lee
Comparison fields: 5 of 114
  • Management Information Systems 119
  • Polymers and Plastics 126
  • Orthopedics and Sports Medicine 67
  • Rheumatology 109
  • Strategy and Management 126
Replace Maria Raquel da Costa Pinto with:
Maria Raquel da Costa Pinto Brazil
Min Gong China
Amiya Bhaumik Malaysia
Richard Murray United States
David Goodwin United States
James Bennett United States
Robert Burnett United States
Xiaoyue Ma China
Suntae Kim South Korea
Edward A. Riordan United States
Chia‐Ling Lee relative to Maria Raquel da Costa Pinto Brazil Maria Raquel da Costa Pinto's profile →
Citations per field
00.5×2×4×6×8×9.6×
Maria Raquel da Costa Pinto · 1×
Citations per year

Countries citing papers authored by Chia‐Ling Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ling Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Ling Lee. 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 Chia‐Ling Lee. The network helps show where Chia‐Ling Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009293
2 2010122
3 200588
4 200977
5 201577
6 201455
7 200643
8 200635
9 200934
10 200727
11 201327
12 200825
13 201023
14 201116
15 200512
16 200512
17 201511
18 200811
19 20138
20 20227

About Chia‐Ling Lee

Chia‐Ling Lee is a scholar working on Strategy and Management, Management Information Systems, Information Systems and Management, Accounting and Orthopedics and Sports Medicine, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Accounting and Organizational Management (4 papers), Technology Adoption and User Behaviour (4 papers), Corporate Finance and Governance (3 papers), Organic Electronics and Photovoltaics (2 papers), Conducting polymers and applications (2 papers), Intellectual Capital and Performance Analysis (2 papers), Tendon Structure and Treatment (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Management Information Systems (119 citations), Polymers and Plastics (126 citations), Orthopedics and Sports Medicine (67 citations), Rheumatology (109 citations) and Strategy and Management (126 citations). Chia‐Ling Lee has collaborated with scholars based in Taiwan, Hong Kong and Singapore. Frequent co-authors include Fang‐Chung Chen, Michael H. Huang, Chun‐Hong Kuo, Tien‐Wen Chen, Mao‐Hsiung Huang, Chia‐Hsin Chen, Rei‐Cheng Yang, Mingcheng Wang, Mao‐Hsiung Huang and Ming‐Cheng Weng. Their work appears in journals such as International Journal of Technology Management, Management and Organization Review, International Journal of Innovation and Learning, International Business Review and Human Resource 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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