Han Lee

3.0k citations
66 papers · 2.4k · 1 hit paper · h-index 19

Impact in

Papers in

Han Lee

61 papers receiving 2.3k citations

Han Lee's Hit Papers

The DaCapo benchmarks 2006 · 1.3k citations
1.3k0+6+13Years since publication4008001.2k

Peers

Han Lee
Comparison fields: 5 of 123
  • Hardware and Architecture 906
  • Software 399
  • Computer Networks and Communications 867
  • Information Systems 702
  • Artificial Intelligence 774
Replace Sandip Ray with:
Sandip Ray United States
Conor Madigan United States
William Y. Chen United States
Brian R. Burg Switzerland
Kai Shen China
A. K. Ghosh United States
Peng Tu United States
Markus Wenzel Germany
Aaron Stump United States
Brian S. Mitchell United States
Han Lee relative to Sandip Ray United States Sandip Ray's profile →
Citations per field
00.5×2×2.8×
Sandip Ray · 1×
Citations per year

Countries citing papers authored by Han Lee

Since Specialization
Citations

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

Fields of papers citing papers by Han Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The DaCapo benchmarks
Hit paper breakdown →
20061252
2 2006192
3 2008110
4 202167
5 201261
6 201750
7 200549
8 201735
9 201834
10 201332
11 201231
12 201931
13 201027
14 200626
15 201924
16 202023
17 200822
18 202121
19 200820
20 201515

About Han Lee

Han Lee is a scholar working on Biomedical Engineering, Materials Chemistry, Infectious Diseases, Hardware and Architecture and Molecular Biology, having authored 66 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (12 papers), Parallel Computing and Optimization Techniques (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (7 papers), SARS-CoV-2 detection and testing (7 papers), Organometallic Complex Synthesis and Catalysis (5 papers), Bone Tissue Engineering Materials (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Orthopaedic implants and arthroplasty (4 papers). The work is most often cited by research in Hardware and Architecture (906 citations), Software (399 citations), Computer Networks and Communications (867 citations), Information Systems (702 citations) and Artificial Intelligence (774 citations). Han Lee has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Amer Diwan, J. Eliot B. Moss, Daniel von Dincklage, Daniel Frampton, Kathryn S. McKinley, Stephen M. Blackburn, Martin Hirzel, Maria Jump, Samuel Z. Guyer and Robin Garner. Their work appears in journals such as Analytica Chimica Acta, Nanomaterials, Organometallics, Materials and Talanta.

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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