Han-Guk Ryu

24 papers receiving 381 citations

Peers

Han-Guk Ryu
Comparison fields: 5 of 66
  • Radiological and Ultrasound Technology 177
  • Medical Laboratory Technology 25
  • Statistics, Probability and Uncertainty 105
  • Building and Construction 151
  • Management Science and Operations Research 121
Replace Sooyoung Choe with:
Sooyoung Choe United States
Kwang-Pyo Lee South Korea
Dean Bowman United States
Bilal Umut Ayhan Türkiye
Kristiina Sulankivi Finland
Chalani Udhyami Ubeynarayana Singapore
Maria Mikela Chatzimichailidou United Kingdom
Zhigen Hu China
Naimeh Sadeghi Iran
Danbing Long China
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Citations per field
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Citations per year

Countries citing papers authored by Han-Guk Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Han-Guk Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han-Guk Ryu. 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 Han-Guk Ryu. The network helps show where Han-Guk Ryu may publish in the future.

Co-authors

The 19 scholars most cited alongside Han-Guk Ryu, 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 Han-Guk Ryu Line = papers co-authored together Han-Guk Ryu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019153
2 200742
3 200933
4 200532
5 202127
6 202220
7 201616
8 202114
9 201514
10 202313
11 20107
12 20234
13 20203
14 20153
15 20132
16 20242
17 20052
18 20042
19
Activity Generating Method for Converting CPM Schedule to Linear Schedule
20111
20 20191

About Han-Guk Ryu

Han-Guk Ryu is a scholar working on Building and Construction, Management Science and Operations Research, Radiological and Ultrasound Technology, Civil and Structural Engineering and Industrial and Manufacturing Engineering, having authored 33 papers that have together received 397 indexed citations. Recurring topics across this work include BIM and Construction Integration (18 papers), Occupational Health and Safety Research (7 papers), Construction Project Management and Performance (6 papers), Infrastructure Maintenance and Monitoring (5 papers), Risk and Safety Analysis (4 papers), Manufacturing Process and Optimization (4 papers), Resource-Constrained Project Scheduling (3 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (177 citations), Medical Laboratory Technology (25 citations), Statistics, Probability and Uncertainty (105 citations), Building and Construction (151 citations) and Management Science and Operations Research (121 citations). Han-Guk Ryu has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Kyungsu Kang, Hyunsoo Lee, Moonseo Park, Jung-Ho Yu, Jae-Jun Kim, Kiyoung Son, Choongwan Koo, Tae Wan Kim, Ji-Myong Kim and Seunghwan Jung. Their work appears in journals such as Journal of Building Engineering, Indian Journal of Science and Technology, Journal of Asian Architecture and Building Engineering, Journal of Construction Engineering and Management and Safety Science.

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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