Jun Ha

33 papers receiving 344 citations

Peers

Jun Ha
Comparison fields: 5 of 77
  • Radiological and Ultrasound Technology 131
  • Statistics, Probability and Uncertainty 162
  • Social Psychology 167
  • Medical Laboratory Technology 5
  • Safety, Risk, Reliability and Quality 29
Replace Richard H. Mogford with:
Richard H. Mogford United States
Anthony J. Masalonis United States
Robert Jay Shively United States
Ivan Mačužić Serbia
Joseph E. Mercado United States
Serge Debernard France
Philippe Polet France
Becky L. Hooey United States
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Citations per year

Countries citing papers authored by Jun Ha

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201741
2 200741
3 201137
4 201734
5 200334
6 201032
7 200930
8 202216
9 201514
10 20149
11 20089
12 20109
13 20188
14 20148
15 20095
16 20185
17
An Experimental Study: EEG Analysis with Eye Fixation Data during Complex Diagnostic Tasks in Nuclear Power Plants
20055
18
Bridging human performance evaluation to design improvement in human-machine interface (HMI)
20083
19 20103
20
Performance of Tag Cognizance Scheme Using Tag Separation in RFID Networks
20093

About Jun Ha

Jun Ha is a scholar working on Statistics, Probability and Uncertainty, Social Psychology, Radiological and Ultrasound Technology, Computer Networks and Communications and Media Technology, having authored 37 papers that have together received 364 indexed citations. Recurring topics across this work include Risk and Safety Analysis (14 papers), Human-Automation Interaction and Safety (13 papers), Occupational Health and Safety Research (6 papers), Energy Efficient Wireless Sensor Networks (4 papers), Safety Warnings and Signage (3 papers), RFID technology advancements (3 papers), DNA and Biological Computing (3 papers) and Wireless Communication Networks Research (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (131 citations), Statistics, Probability and Uncertainty (162 citations), Social Psychology (167 citations), Medical Laboratory Technology (5 citations) and Safety, Risk, Reliability and Quality (29 citations). Jun Ha has collaborated with scholars based in South Korea, United Arab Emirates and Australia. Frequent co-authors include Poong Hyun Seong, Seung Min Lee, Young-Ji Byon, Jin-Hyuk Hong, Chung-Suk Cho, Myeong Soo Lee, Seung Woo Lee, Chan Yeob Yeun, Tae‐Yeon Kim and Joonsang Baek. Their work appears in journals such as Reliability Engineering & System Safety, Annals of Nuclear Energy, Nuclear Engineering and Design, Nuclear Engineering and Technology and Chemical Engineering Journal.

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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