Yeonsoo Lee

938 citations
42 papers · 677 · h-index 14

Impact in

Papers in

Yeonsoo Lee

35 papers receiving 600 citations

Peers

Yeonsoo Lee
Comparison fields: 5 of 115
  • Information Systems and Management 194
  • Human-Computer Interaction 59
  • Organizational Behavior and Human Resource Management 82
  • Industrial and Manufacturing Engineering 53
  • Marketing 53
Replace Dohoon Kim with:
Dohoon Kim South Korea
Hun Choi South Korea
Heejin Lee South Korea
Chia‐Chin Chang Taiwan
Hyo Kim South Korea
David Tyler United Kingdom
Hua Dai United States
Subhankar Das Vietnam
Sixing Chen China
Yeonsoo Lee relative to Dohoon Kim South Korea Dohoon Kim's profile →
Citations per field
00.5×7.6×
Dohoon Kim · 1×
Citations per year

Countries citing papers authored by Yeonsoo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yeonsoo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Cross-Cultural Study on the Value Structure of Mobile Internet Usage: Comparison Between Korea and Japan.
2002103
2 200388
3 199469
4 200467
5 200546
6 202043
7 202228
8 200527
9 202122
10 200822
11 202119
12 202015
13 202213
14 201013
15 201611
16 201810
17 19989
18 20249
19 20138
20 20207

About Yeonsoo Lee

Yeonsoo Lee is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Surgery, Information Systems and Management and Human-Computer Interaction, having authored 42 papers that have together received 677 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers), Chemical Synthesis and Characterization (4 papers), Technology Adoption and User Behaviour (4 papers), Speech and dialogue systems (3 papers), Digital Marketing and Social Media (3 papers), Radioactive element chemistry and processing (3 papers) and Nanofabrication and Lithography Techniques (2 papers). The work is most often cited by research in Information Systems and Management (194 citations), Human-Computer Interaction (59 citations), Organizational Behavior and Human Resource Management (82 citations), Industrial and Manufacturing Engineering (53 citations) and Marketing (53 citations). Yeonsoo Lee has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Kookheon Char, Jinwoo Kim, Hoyoung Kim, Hee‐Man Yang, Jinwoo Kim, Inseong Lee, Minhee Chae, In-Ho Yoon, Se‐Joon Hong and Kar Yan Tam. Their work appears in journals such as Macromolecules, Chemosphere, Knee Surgery Sports Traumatology Arthroscopy, Journal of electronic commerce research and Carbohydrate Polymers.

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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