Won‐Ki Jeong

3.5k total citations · 1 hit paper
85 papers, 1.8k citations indexed

About

Won‐Ki Jeong is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Won‐Ki Jeong has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 19 papers in Biophysics and 19 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Won‐Ki Jeong's work include Cell Image Analysis Techniques (19 papers), Computer Graphics and Visualization Techniques (18 papers) and 3D Shape Modeling and Analysis (10 papers). Won‐Ki Jeong is often cited by papers focused on Cell Image Analysis Techniques (19 papers), Computer Graphics and Visualization Techniques (18 papers) and 3D Shape Modeling and Analysis (10 papers). Won‐Ki Jeong collaborates with scholars based in South Korea, United States and Germany. Won‐Ki Jeong's co-authors include Tran Minh Quan, Thanh Nguyen-Duc, Ross Whitaker, Hanspeter Pfister, David G. C. Hildebrand, Markus Hadwiger, Johanna Beyer, Hans‐Peter Seidel, Junyoung Choi and Ioannis Ivrissimtzis and has published in prestigious journals such as Scientific Reports, Optics Letters and IEEE Access.

In The Last Decade

Won‐Ki Jeong

77 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

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.

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

2018 421 citations Tran Minh Quan, Thanh Nguyen-Duc et al. IEEE Transactions on Medical Imaging profile →

Peers

Won‐Ki Jeong

CVPR

RNMI

CGCD

David H. Eberly United States

Andrés Bruhn Germany

Orazio Gallo United States

Timo Ropinski Germany

Eduard Gröller Austria

Nahum Kiryati Israel

A. Ardeshir Goshtasby United States

Per‐Erik Danielsson Sweden

Chandra Kambhamettu United States

Yee‐Hong Yang Canada

David H. Eberly United States

Won‐Ki Jeong

906 ×1.3

CVPR

207 ×0.4

RNMI

434 ×1.2

319 ×1.2

CGCD

141 ×0.6

Citations per year, relative to Won‐Ki Jeong Won‐Ki Jeong (= 1×) peers David H. Eberly

Countries citing papers authored by Won‐Ki Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Won‐Ki Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Ki Jeong. 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 Won‐Ki Jeong. The network helps show where Won‐Ki Jeong may publish in the future.

Co-authorship network of co-authors of Won‐Ki Jeong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jeong, Haejin, et al.. (2025). Optimal Dimensionality Selection Using Hull Heatmaps for Single‐Cell Analysis. Computer Graphics Forum. 44(6). 1 indexed citations

Ahn, Jung Min, et al.. (2025). Hyperspectral imaging-based land use classification using a hybrid Convolutional Neural network-vision transformer model. Environmental Technology & Innovation. 39. 104317–104317. 1 indexed citations

Feng, Linqing, et al.. (2024). Connecto-informatics at the mesoscale: current advances in image processing and analysis for mapping the brain connectivity. Brain Informatics. 11(1). 15–15. 2 indexed citations

Choi, Junyoung, et al.. (2023). MitoVis: A Unified Visual Analytics System for End-to-End Neuronal Mitochondria Analysis. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3457–3473. 4 indexed citations

Jeong, Haejin, et al.. (2023). Dimensionality Explorer for Single-Cell Analysis. 51–60. 2 indexed citations

Lee, Kyoung Bun, et al.. (2023). Multi-scale contrastive learning with attention for histopathology image classification. Ghent University Academic Bibliography (Ghent University). 44–44.

Jeong, Won‐Ki, et al.. (2022). Virtual Air Conditioner’s Airflow Simulation and Visualization in AR. 1–11. 1 indexed citations

Park, Seongkeun, Jonghoon Chun, Kyoung Bun Lee, et al.. (2021). Development and operation of a digital platform for sharing pathology image data. BMC Medical Informatics and Decision Making. 21(1). 114–114. 7 indexed citations

Oh, Jeong-Woo, et al.. (2021). DeepHCS + + : Bright-field to fluorescence microscopy image conversion using multi-task learning with adversarial losses for label-free high-content screening. Medical Image Analysis. 70. 101995–101995. 16 indexed citations

10.

Jeong, Won‐Ki, et al.. (2021). ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising. IEEE Transactions on Medical Imaging. 40(11). 3238–3248. 34 indexed citations

11.

Jeong, Won‐Ki, et al.. (2021). DeepScribble: Interactive Pathology Image Segmentation Using Deep Neural Networks with Scribbles. 761–765. 10 indexed citations

12.

Nguyen-Duc, Thanh, et al.. (2019). Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 670–673. 12 indexed citations

13.

Lee, Semin, et al.. (2019). CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network. Scientific Reports. 9(1). 16927–16927. 28 indexed citations

14.

Quan, Tran Minh, Thanh Nguyen-Duc, & Won‐Ki Jeong. (2017). Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks.. arXiv (Cornell University). 12 indexed citations

15.

Hadwiger, Markus, Johanna Beyer, Won‐Ki Jeong, & Hanspeter Pfister. (2012). Interactive Volume Exploration of Petascale Microscopy Data Streams Using a Visualization-Driven Virtual Memory Approach. IEEE Transactions on Visualization and Computer Graphics. 18(12). 2285–2294. 66 indexed citations

16.

Fu, Zhisong, Won‐Ki Jeong, Yongsheng Pan, Robert M. Kirby, & Ross Whitaker. (2011). A Fast Iterative Method for Solving the Eikonal Equation on Triangulated Surfaces. SIAM Journal on Scientific Computing. 33(5). 2468–2488. 41 indexed citations

17.

Jeong, Won‐Ki, Micah K. Johnson, Insu Yu, et al.. (2011). Display-aware image editing. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–8. 7 indexed citations

18.

Beyer, Johanna, Markus Hadwiger, Won‐Ki Jeong, Hanspeter Pfister, & Jeff W. Lichtman. (2011). Demand-driven volume rendering of terascale EM data. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1–1. 5 indexed citations

19.

Jeong, Won‐Ki, Johanna Beyer, Markus Hadwiger, et al.. (2009). Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets. IEEE Transactions on Visualization and Computer Graphics. 15(6). 1505–1514. 46 indexed citations

20.

Ivrissimtzis, Ioannis, Won‐Ki Jeong, Seungyong Lee, Yunjin Lee, & Hans‐Peter Seidel. (2005). Surface Reconstruction with Neural Meshes. Durham Research Online (Durham University). 223–242. 2 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.

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