Jinyeong Yim

835 total citations
9 papers, 224 citations indexed

About

Jinyeong Yim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Jinyeong Yim has authored 9 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Science Applications. Recurrent topics in Jinyeong Yim's work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Handwritten Text Recognition Techniques (3 papers). Jinyeong Yim is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Handwritten Text Recognition Techniques (3 papers). Jinyeong Yim collaborates with scholars based in South Korea, United States and Canada. Jinyeong Yim's co-authors include Gyeongcheol Cho, Seoung‐Hwan Lee, Younyoung Choi, Minjoon Seo, Wonseok Hwang, Seunghyun Park, Sohee Yang, Fuxiang Chen, Seung-won Hwang and Sunghun Kim and has published in prestigious journals such as Psychiatry Investigation, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.

In The Last Decade

Jinyeong Yim

8 papers receiving 214 citations

Peers

Jinyeong Yim
Comparison fields: 5 of 65
  • Artificial Intelligence 86
  • Computer Vision and Pattern Recognition 55
  • Experimental and Cognitive Psychology 38
  • Social Psychology 37
  • Applied Psychology 35
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Citations per field, relative to Jinyeong Yim
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Citations per year, relative to Jinyeong Yim
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Countries citing papers authored by Jinyeong Yim

Since Specialization
Citations

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

Fields of papers citing papers by Jinyeong Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyeong Yim

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2 32
3 6
4
Spatial Dependency Parsing for 2D Document Understanding
2
5 144
6 14
7
Post-OCR parsing: building simple and robust parser via BIO tagging
13
8 12
9 1

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