Young Dae Ko

1.8k citations
68 papers · 1.5k · h-index 19

Impact in

Papers in

Young Dae Ko

62 papers receiving 1.4k citations

Peers

Young Dae Ko
Comparison fields: 5 of 92
  • Automotive Engineering 551
  • Industrial and Manufacturing Engineering 165
  • Electrical and Electronic Engineering 882
  • Transportation 97
  • Building and Construction 119
Replace Lieselot Vanhaverbeke with:
Lieselot Vanhaverbeke Belgium
Dezhi Zhang China
Chengjiang Li China
Jingquan Li United States
Irfan Ullah China
Stefano De Luca Italy
Zhihong Jin China
Su Wang China
Padmanathan Kasinathan India
Young Dae Ko relative to Lieselot Vanhaverbeke Belgium Lieselot Vanhaverbeke's profile →
Citations per field
00.5×7.7×
Lieselot Vanhaverbeke · 1×
Citations per year

Countries citing papers authored by Young Dae Ko

Since Specialization
Citations

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

Fields of papers citing papers by Young Dae Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Dae Ko. 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 Young Dae Ko. The network helps show where Young Dae Ko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013238
2 2009117
3 2015113
4 2017111
5 201481
6 201165
7 200859
8 201255
9 201945
10 201543
11 202032
12 201929
13 202122
14 201621
15 200920
16 201520
17 201820
18 200919
19 201519
20 201718

About Young Dae Ko

Young Dae Ko is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Industrial and Manufacturing Engineering, Transportation and Organizational Behavior and Human Resource Management, having authored 68 papers that have together received 1.5k indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (11 papers), Electric Vehicles and Infrastructure (11 papers), Transportation and Mobility Innovations (9 papers), Wireless Power Transfer Systems (9 papers), Vehicle Routing Optimization Methods (9 papers), Advanced Battery Technologies Research (8 papers), Facility Location and Emergency Management (7 papers) and Transportation Planning and Optimization (7 papers). The work is most often cited by research in Automotive Engineering (551 citations), Industrial and Manufacturing Engineering (165 citations), Electrical and Electronic Engineering (882 citations), Transportation (97 citations) and Building and Construction (119 citations). Young Dae Ko has collaborated with scholars based in South Korea and United States. Frequent co-authors include Young Jae Jang, Byung Duk Song, Jae‐Gwan Park, Dong‐Wan Kim, Seungmin Jeong, Min Seok Lee, Woojin Lee, Hark Hwang, Jin Gu Kang and Sung‐Jun Lee. Their work appears in journals such as Computers & Industrial Engineering, Sustainability, Journal of Air Transport Management, Asia Pacific Journal of Tourism Research and IEEE Transactions on Intelligent Transportation Systems.

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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