Chen‐Ju Lin

91 papers receiving 2.3k citations

Peers

Chen‐Ju Lin
Comparison fields: 5 of 159
  • Organizational Behavior and Human Resource Management 269
  • Strategy and Management 367
  • Biological Psychiatry 46
  • Management of Technology and Innovation 130
  • Business and International Management 34
Replace Rachna Kumar with:
Rachna Kumar United States
Hongzhi Gao China
Elizabeth J. West United Kingdom
Hong Ping Zhang China
José Guimón Spain
Yuka Fujimoto Australia
MELVIN J. PRINCE United States
David Wicks United Kingdom
Guoquan Chen China
George E. Tesar United States
Chen‐Ju Lin relative to Rachna Kumar United States Rachna Kumar's profile →
Citations per field
00.5×2×2.9×
Rachna Kumar · 1×
Citations per year

Countries citing papers authored by Chen‐Ju Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Ju Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019264
2 2008250
3 2008159
4 2008136
5 201091
6 201589
7 201276
8 201774
9 201061
10 201359
11 200956
12 200653
13 202347
14 201045
15 202345
16 201541
17 201940
18 200936
19 202235
20 200234

About Chen‐Ju Lin

Chen‐Ju Lin is a scholar working on Organizational Behavior and Human Resource Management, Pediatrics, Perinatology and Child Health, Strategy and Management, Social Psychology and Experimental and Cognitive Psychology, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (12 papers), Innovation and Knowledge Management (10 papers), Prenatal Screening and Diagnostics (10 papers), Genomic variations and chromosomal abnormalities (7 papers), Team Dynamics and Performance (6 papers), Creativity in Education and Neuroscience (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Business Strategy and Innovation (5 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (269 citations), Strategy and Management (367 citations), Biological Psychiatry (46 citations), Management of Technology and Innovation (130 citations) and Business and International Management (34 citations). Chen‐Ju Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ci‐Rong Li, Jerry Pelletier, Chih‐Peng Chu, Françis Robert, Chih‐Ping Chen, John R. Mills, Abba Malina, Yoshitaka Hippo, Scott Lowe and Regina Cencic. Their work appears in journals such as Prenatal Diagnosis, Leadership & Organization Development Journal, Cancer Research, Taiwanese Journal of Obstetrics and Gynecology and The Journal of Creative 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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