Da-Hee Lee

22 papers receiving 381 citations

Peers

Da-Hee Lee
Comparison fields: 5 of 90
  • Nutrition and Dietetics 89
  • Biomaterials 49
  • Biotechnology 30
  • Food Science 55
  • Artificial Intelligence 76
Replace Firoozeh Abolhasani Zadeh with:
Firoozeh Abolhasani Zadeh Iran
Yujia Zhao China
Qiuke Li China
Eutímio Gustavo Fernández Núñez Brazil
Sindhoora Kaniyala Melanthota India
Yirong Sun China
Youyuan Li China
Xiaohui Chang China
Xiyao Cheng China
Bikash Chandra Ghosh India
Da-Hee Lee relative to Firoozeh Abolhasani Zadeh Iran Firoozeh Abolhasani Zadeh's profile →
Citations per field
00.5×10×20×30×42×
Firoozeh Abolhasani Zadeh · 1×
Citations per year

Countries citing papers authored by Da-Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Da-Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201589
2 201949
3 201943
4 201843
5 201425
6 201623
7 201823
8 201718
9 201915
10 201513
11 202111
12 201811
13 20149
14 20208
15 20193
16 20202
17 20172
18 20201
19 20181
20 20181

About Da-Hee Lee

Da-Hee Lee is a scholar working on Computer Networks and Communications, Information Systems, Molecular Biology, Artificial Intelligence and Biomaterials, having authored 25 papers that have together received 392 indexed citations. Recurring topics across this work include Educational Research and Pedagogy (6 papers), Education and Learning Interventions (6 papers), Food composition and properties (3 papers), Biomedical Text Mining and Ontologies (3 papers), Education, Safety, and Science Studies (2 papers), Educational Systems and Policies (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Proteins in Food Systems (2 papers). The work is most often cited by research in Nutrition and Dietetics (89 citations), Biomaterials (49 citations), Biotechnology (30 citations), Food Science (55 citations) and Artificial Intelligence (76 citations). Da-Hee Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Min Song, Young‐Rok Kim, Go Eun Heo, Won Chul Kim, Ke Luo, Sang-Mook You, Ki‐Baek Jeong, Ke Luo, Sang‐Ho Yoo and Jong Ho Lee. Their work appears in journals such as Carbohydrate Polymers, Journal of the American Medical Informatics Association, Anticancer Research, Biochemical and Biophysical Research Communications and Atmospheric Environment.

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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