Hwaran Lee

24 papers receiving 310 citations

Peers

Hwaran Lee
Comparison fields: 5 of 62
  • Human-Computer Interaction 54
  • Health Informatics 9
  • Computer Vision and Pattern Recognition 125
  • Experimental and Cognitive Psychology 69
  • Artificial Intelligence 136
Replace Shaojing Fan with:
Shaojing Fan Singapore
Tharindu Kaluarachchi New Zealand
Shamane Siriwardhana New Zealand
Cigdem Turan Germany
Deokgun Park United States
Valentina Franzoni Italy
Juan Miguel López Spain
Chien-Sheng Wu United States
Jeba Rezwana United States
Enkhbold Nyamsuren Netherlands
Hwaran Lee relative to Shaojing Fan Singapore Shaojing Fan's profile →
Citations per field
00.5×2.8×
Shaojing Fan · 1×
Citations per year

Countries citing papers authored by Hwaran Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hwaran Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022104
2 201581
3 201821
4 201314
5 202413
6 202212
7 201311
8 202310
9 202210
10 20168
11 20225
12 20215
13 20244
14 20234
15 20174
16 20243
17 20223
18 20242
19 20231
20 20251

About Hwaran Lee

Hwaran Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Human-Computer Interaction, having authored 27 papers that have together received 320 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers), Gaze Tracking and Assistive Technology (2 papers), Artificial Intelligence in Games (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Human-Computer Interaction (54 citations), Health Informatics (9 citations), Computer Vision and Pattern Recognition (125 citations), Experimental and Cognitive Psychology (69 citations) and Artificial Intelligence (136 citations). Hwaran Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Soo-Young Lee, Bo-Kyeong Kim, Kang Min Yoo, Jihyeon Roh, Eytan Adar, Woo Seok Kim, Minsuk Chang, John Joon Young Chung, Nadeem Iqbal and Sang-Hoon Oh. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Consumer Electronics, Transactions of the Association for Computational Linguistics, IEEE Sensors Journal and IEEE Access.

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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