Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Text information extraction in images and video: a survey
2004575 citationsKeechul Jung, Kwang In Kim et al.Pattern Recognitionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Keechul Jung'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 Keechul Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keechul Jung more than expected).
This network shows the impact of papers produced by Keechul Jung. 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 Keechul Jung. The network helps show where Keechul Jung may publish in the future.
Co-authorship network of co-authors of Keechul Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Keechul Jung.
A scholar is included among the top collaborators of Keechul Jung 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 Keechul Jung. Keechul Jung is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Han, JungHyun, et al.. (2010). RFID-BASED DIGITAL BOARD GAME PLATFORMS. Computing and Informatics / Computers and Artificial Intelligence. 29. 1141–1158.2 indexed citations
Jung, Keechul, et al.. (2009). A Study on the Development of a Korean Manual Alphabet Learning Game with Avatar. Journal of Korea Game Society. 9(4). 67–80.1 indexed citations
5.
Kim, Jung‐whan, et al.. (2009). Graph Cut-based Automatic Color Image Segmentation using Mean Shift Analysis. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 36(11). 936–946.3 indexed citations
Shin, Yunhee, et al.. (2007). Automatic Facial Expression Recognition using Tree Structures for Human Computer Interaction. Journal of the Korea Industrial Information Systems Research. 12(3). 60–68.1 indexed citations
11.
Jung, Keechul, et al.. (2007). GPU implementation of neural networks. International Conference on Human-Computer Interaction. 2144–2147.14 indexed citations
12.
Han, Eun‐Jung, et al.. (2006). Efficient 3D Voxel Reconstruction using Precomputing method for Gesture Recognition(Gestures). 106(376). 13–18.1 indexed citations
13.
Jung, Keechul. (2004). Hybrid Approach of Texture and Connected Component Methods for Text Extraction in Complex Images. Signal Processing. 41(6). 1033–1044.2 indexed citations
Kim, Kwang In, et al.. (1999). VEGA VISION: a vision system for recognizing license plates. Lancaster EPrints (Lancaster University).3 indexed citations
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.