Sungrae Park

747 total citations · 1 hit paper
3 papers, 306 citations indexed

About

Sungrae Park is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sungrae Park has authored 3 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Sungrae Park's work include Natural Language Processing Techniques (3 papers), Handwritten Text Recognition Techniques (2 papers) and Web Data Mining and Analysis (1 paper). Sungrae Park is often cited by papers focused on Natural Language Processing Techniques (3 papers), Handwritten Text Recognition Techniques (2 papers) and Web Data Mining and Analysis (1 paper). Sungrae Park collaborates with scholars based in South Korea, United States and Japan. Sungrae Park's co-authors include Junyeop Lee, Jeonghun Baek, Hwalsuk Lee, Seong Joon Oh, Sangdoo Yun, Geewook Kim, Dongyoon Han, Chae Young Lee, Seung Yeon Shin and Youngmin Baek and has published in prestigious journals such as .

In The Last Decade

Sungrae Park

2 papers receiving 289 citations

Hit Papers

What Is Wrong With Scene Text Recognition Model Compariso... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungrae Park South Korea 2 265 92 77 14 12 3 306
Geewook Kim Japan 4 262 1.0× 103 1.1× 78 1.0× 11 0.8× 12 1.0× 10 318
Jeonghun Baek Japan 4 311 1.2× 113 1.2× 90 1.2× 15 1.1× 13 1.1× 11 369
Chris Tensmeyer United States 7 205 0.8× 56 0.6× 32 0.4× 8 0.6× 6 0.5× 13 256
Zenghui Sun China 5 383 1.4× 108 1.2× 172 2.2× 7 0.5× 8 0.7× 7 425
Shi-Xue Zhang China 8 300 1.1× 67 0.7× 145 1.9× 5 0.4× 12 1.0× 9 332
Shangbang Long United States 4 267 1.0× 70 0.8× 112 1.5× 11 0.8× 17 1.4× 8 312
Josip Krapac Croatia 6 232 0.9× 93 1.0× 54 0.7× 2 0.1× 7 0.6× 13 288
Mingyuan Jiu France 9 172 0.6× 79 0.9× 29 0.4× 6 0.4× 5 0.4× 21 223
Mathias Seuret Switzerland 11 298 1.1× 56 0.6× 68 0.9× 5 0.4× 7 0.6× 31 336

Countries citing papers authored by Sungrae Park

Since Specialization
Citations

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

Fields of papers citing papers by Sungrae Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungrae Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sungrae Park. A scholar is included among the top collaborators of Sungrae Park 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 Sungrae Park. Sungrae Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 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 →

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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