Hwalsuk Lee

1.9k total citations · 2 hit papers
4 papers, 846 citations indexed

About

Hwalsuk Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Hwalsuk Lee has authored 4 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Hwalsuk Lee's work include Natural Language Processing Techniques (3 papers), Handwritten Text Recognition Techniques (3 papers) and Image Processing and 3D Reconstruction (2 papers). Hwalsuk Lee is often cited by papers focused on Natural Language Processing Techniques (3 papers), Handwritten Text Recognition Techniques (3 papers) and Image Processing and 3D Reconstruction (2 papers). Hwalsuk Lee collaborates with scholars based in South Korea, United States and Japan. Hwalsuk Lee's co-authors include Sangdoo Yun, Dongyoon Han, Youngmin Baek, Bado Lee, Junyeop Lee, Sungrae Park, Jeonghun Baek, Seong Joon Oh, Geewook Kim and Dae‐Hyun Nam and has published in prestigious journals such as .

In The Last Decade

Hwalsuk Lee

3 papers receiving 798 citations

Hit Papers

Character Region Awareness for Text Detection 2019 2026 2021 2023 2019 2019 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hwalsuk Lee South Korea 3 743 300 204 45 33 4 846
Satoshi Naoi Japan 13 516 0.7× 165 0.6× 164 0.8× 31 0.7× 23 0.7× 81 649
Canjie Luo China 17 1.1k 1.5× 458 1.5× 262 1.3× 37 0.8× 14 0.4× 24 1.2k
Marçal Rusiñol Spain 18 766 1.0× 92 0.3× 273 1.3× 52 1.2× 14 0.4× 49 861
Songxuan Lai China 15 427 0.6× 141 0.5× 166 0.8× 37 0.8× 8 0.2× 21 489
Jean-Marc Ogier France 13 421 0.6× 124 0.4× 109 0.5× 16 0.4× 9 0.3× 52 503
Amit Choudhary India 8 291 0.4× 156 0.5× 123 0.6× 25 0.6× 10 0.3× 24 494
Gyeonghwan Kim South Korea 12 553 0.7× 246 0.8× 213 1.0× 16 0.4× 6 0.2× 32 626
Chirag Patel India 6 243 0.3× 205 0.7× 85 0.4× 37 0.8× 7 0.2× 15 360
Santosh Divvala United States 9 664 0.9× 42 0.1× 333 1.6× 27 0.6× 10 0.3× 13 769
Lluís Gómez Spain 14 2.1k 2.8× 940 3.1× 418 2.0× 58 1.3× 13 0.4× 26 2.2k

Countries citing papers authored by Hwalsuk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hwalsuk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hwalsuk Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hwalsuk Lee. A scholar is included among the top collaborators of Hwalsuk Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hwalsuk Lee. Hwalsuk Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Park, Sungrae, Geewook Kim, Junyeop Lee, et al.. (2020). Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model. 6883–6893.
2.
Baek, Youngmin, Dae‐Hyun Nam, Sungrae Park, et al.. (2020). CLEval: Character-Level Evaluation for Text Detection and Recognition Tasks. 2404–2412. 10 indexed citations
3.
Baek, Jeonghun, Geewook Kim, Junyeop Lee, et al.. (2019). What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. 4714–4722. 296 indexed citations breakdown →
4.
Baek, Youngmin, Bado Lee, Dongyoon Han, Sangdoo Yun, & Hwalsuk Lee. (2019). Character Region Awareness for Text Detection. 9357–9366. 540 indexed citations breakdown →

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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2026