Suk Won Lee

56 papers receiving 1.1k citations

Suk Won Lee's Hit Papers

Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality 2019 · 254 citations
2540+2+4Years since publication50100150200250

Peers

Suk Won Lee
Comparison fields: 5 of 130
  • Orthodontics 129
  • Oral Surgery 182
  • Information Systems and Management 144
  • Marketing 164
  • Biophysics 52
Replace Vivek Soni with:
Vivek Soni India
Om Prakash Kharbanda India
Eun Jung Lee South Korea
Shun‐Cheng Wu Taiwan
Cheng‐Hsien Wu Taiwan
Kristin M. Hennessy United States
Krishna Madhavan United States
Fábio Bezerra Brazil
Hyejin Park South Korea
Suk Won Lee relative to Vivek Soni India Vivek Soni's profile →
Citations per field
00.5×20×40×52×
Vivek Soni · 1×
Citations per year

Countries citing papers authored by Suk Won Lee

Since Specialization
Citations

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

Fields of papers citing papers by Suk Won Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality
Hit paper breakdown →
2019254
2 201599
3 199553
4 201252
5 201047
6 200846
7 201243
8 200842
9 201641
10 201336
11 202035
12 201734
13 201727
14 200926
15 201625
16 199725
17 201224
18 201124
19 201123
20 201514

About Suk Won Lee

Suk Won Lee is a scholar working on Biomedical Engineering, Oral Surgery, Orthodontics, Surgery and Urology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dental Implant Techniques and Outcomes (17 papers), Bone Tissue Engineering Materials (16 papers), Orthopaedic implants and arthroplasty (5 papers), Periodontal Regeneration and Treatments (5 papers), Dental materials and restorations (5 papers), Orthodontics and Dentofacial Orthopedics (4 papers), Peptidase Inhibition and Analysis (3 papers) and Bone and Dental Protein Studies (2 papers). The work is most often cited by research in Orthodontics (129 citations), Oral Surgery (182 citations), Information Systems and Management (144 citations), Marketing (164 citations) and Biophysics (52 citations). Suk Won Lee has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Hyeon-Mo Jeon, Richard Leesungbok, Su‐Jin Ahn, Myeong-Hoon Lee, Su-Jung Park, Eun‐Cheol Kim, Namsik Oh, Myung‐Hyun Lee, Eun-Cheol Kim and Su‐Jung Mah. Their work appears in journals such as The Journal of Advanced Prosthodontics, Archives of Oral Biology, Clinical Oral Implants Research, Biomaterials and Sustainability.

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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