Jun Hee Park

2.2k citations
46 papers · 1.7k · 1 hit paper · h-index 12

Impact in

Papers in

Jun Hee Park

44 papers receiving 1.7k citations

Jun Hee Park's Hit Papers

Smart manufacturing: Past research, present findings, and future directions 2016 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Jun Hee Park
Comparison fields: 5 of 148
  • Industrial and Manufacturing Engineering 849
  • Management Information Systems 186
  • Management of Technology and Innovation 114
  • Strategy and Management 212
  • Medical Laboratory Technology 17
Replace James C. Chen with:
James C. Chen Taiwan
Tariq Masood United Kingdom
Jan Carel Diehl Netherlands
Mattias Lindahl Sweden
Yongping Zhang China
Joseph C. Hartman United States
Teresa Pereira Portugal
Yvan Petit Canada
Srinivas India
Tan Tan China
Jun Hee Park relative to James C. Chen Taiwan James C. Chen's profile →
Citations per field
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James C. Chen · 1×
Citations per year

Countries citing papers authored by Jun Hee Park

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hee Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Hee Park. 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 Jun Hee Park. The network helps show where Jun Hee Park may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Hee Park, 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 Jun Hee Park Line = papers co-authored together Jun Hee Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Smart manufacturing: Past research, present findings, and future directions
Hit paper breakdown →
20161083
2 2017178
3 201789
4 201637
5 201835
6 201434
7 201226
8 201421
9 200518
10 200717
11 200915
12 201913
13 200712
14 201312
15 201212
16 20099
17 20179
18 20189
19 20089
20 20208

About Jun Hee Park

Jun Hee Park is a scholar working on Pathology and Forensic Medicine, Hardware and Architecture, Surgery, Control and Systems Engineering and Computer Networks and Communications, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Spinal Fractures and Fixation Techniques (4 papers), Real-Time Systems Scheduling (4 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Voice and Speech Disorders (3 papers), Robot Manipulation and Learning (3 papers), Thyroid and Parathyroid Surgery (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (849 citations), Management Information Systems (186 citations), Management of Technology and Innovation (114 citations), Strategy and Management (212 citations) and Medical Laboratory Technology (17 citations). Jun Hee Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sang Do Noh, Hyoung Seok Kang, Ji Yeon Son, Ju Yeon Lee, Hyun Kim, Kim Bo-Hyun, SangSu Choi, Eun-Jong Lee, Kyoung‐Tae Kim and Soo‐Hong Lee. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Thyroid, Anticancer Research, Clinical and Experimental Otorhinolaryngology and Journal of Korean Neurosurgical Society.

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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