Ja-Yeon Jeong

556 total citations
14 papers, 398 citations indexed

About

Ja-Yeon Jeong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Ja-Yeon Jeong has authored 14 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Geometry and Topology. Recurrent topics in Ja-Yeon Jeong's work include Medical Image Segmentation Techniques (7 papers), AI in cancer detection (5 papers) and Morphological variations and asymmetry (4 papers). Ja-Yeon Jeong is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), AI in cancer detection (5 papers) and Morphological variations and asymmetry (4 papers). Ja-Yeon Jeong collaborates with scholars based in South Korea and United States. Ja-Yeon Jeong's co-authors include Won-Chul Bang, Seokmin Han, Moon Ho Park, Wonsik Kim, Stephen M. Pizer, Sarang Joshi, Conglin Lu, Young‐Taek Oh, Joseph Piven and Min Woo Lee and has published in prestigious journals such as International Journal of Computer Vision, Physics in Medicine and Biology and Ultrasound in Medicine & Biology.

In The Last Decade

Ja-Yeon Jeong

14 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ja-Yeon Jeong South Korea	8	263	242	95	60	43	14	398
Gustav Müller‐Franzes Germany	11	316 1.2×	239 1.0×	89 0.9×	73 1.2×	70 1.6×	22	567
Hanna Piotrzkowska‐Wróblewska Poland	11	330 1.3×	256 1.1×	49 0.5×	100 1.7×	21 0.5×	30	433
Tianyu Shi China	9	207 0.8×	153 0.6×	168 1.8×	47 0.8×	37 0.9×	16	405
Changjian Sun China	9	166 0.6×	116 0.5×	130 1.4×	51 0.8×	19 0.4×	17	322
Jie-Zhi Cheng Taiwan	6	393 1.5×	325 1.3×	148 1.6×	83 1.4×	115 2.7×	6	620
Tianyu Han Germany	12	245 0.9×	243 1.0×	101 1.1×	43 0.7×	32 0.7×	19	552
Jincao Yao China	10	247 0.9×	156 0.6×	53 0.6×	33 0.6×	48 1.1×	68	424
Shilei Cao China	8	156 0.6×	147 0.6×	48 0.5×	26 0.4×	29 0.7×	13	298
Lina Choridah Indonesia	13	152 0.6×	177 0.7×	57 0.6×	23 0.4×	53 1.2×	58	460

Countries citing papers authored by Ja-Yeon Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Ja-Yeon Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ja-Yeon 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 Ja-Yeon Jeong. The network helps show where Ja-Yeon Jeong may publish in the future.

Co-authorship network of co-authors of Ja-Yeon Jeong

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

All Works

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14 of 14 papers shown

Kim, Se-Jin, Ja-Yeon Jeong, Soojin Lee, et al.. (2021). Anti-Cancer Effect of Panax Ginseng and Its Metabolites: From Traditional Medicine to Modern Drug Discovery. Processes. 9(8). 1344–1344. 18 indexed citations

Ik, Dong, Min Woo Lee, Tae Wook Kang, et al.. (2017). Comparison Between CT and MR Images as More Favorable Reference Data Sets for Fusion Imaging-Guided Radiofrequency Ablation or Biopsy of Hepatic Lesions: A Prospective Study with Focus on Patient’s Respiration. CardioVascular and Interventional Radiology. 40(10). 1567–1575. 5 indexed citations

Han, Seokmin, et al.. (2017). A deep learning framework for supporting the classification of breast lesions in ultrasound images. Physics in Medicine and Biology. 62(19). 7714–7728. 269 indexed citations

Ik, Dong, Min Woo Lee, Tae Wook Kang, et al.. (2017). Automatic image fusion of real-time ultrasound with computed tomography images: a prospective comparison between two auto-registration methods. Acta Radiologica. 58(11). 1349–1357. 13 indexed citations

Ik, Dong, Min Woo Lee, Kyoung Doo Song, et al.. (2017). A prospective comparison between auto-registration and manual registration of real-time ultrasound with MR images for percutaneous ablation or biopsy of hepatic lesions. Abdominal Radiology. 42(6). 1799–1808. 11 indexed citations

Lee, Min Woo, Dong Ik, Hyo Keun Lim, et al.. (2016). Automatic Registration between Real-Time Ultrasonography and Pre-Procedural Magnetic Resonance Images: A Prospective Comparison between Two Registration Methods by Liver Surface and Vessel and by Liver Surface Only. Ultrasound in Medicine & Biology. 42(7). 1627–1636. 14 indexed citations

Pizer, Stephen M. & Ja-Yeon Jeong. (2009). Estimation of probability distribution on multiple anatomical objects and evaluation of statistical shape models. 1 indexed citations

Lu, Conglin, Stephen M. Pizer, Sarang Joshi, & Ja-Yeon Jeong. (2007). Statistical Multi-Object Shape Models. International Journal of Computer Vision. 75(3). 387–404. 23 indexed citations

Styner, Martin, Ja-Yeon Jeong, J. S. Marron, et al.. (2007). Statistical Shape Analysis of Multi-Object Complexes. 1–8. 24 indexed citations

10.

Pizer, Stephen M., et al.. (2006). Segmentation of Kidneys and Pelvic Organs from CT by Posterior Optimization of M-reps. 2 indexed citations

11.

Pizer, Stephen M., Gregg Tracton, Ja-Yeon Jeong, et al.. (2006). Intra-Patient Anatomic Statistical Models for Adaptive Radiotherapy. 5 indexed citations

12.

Jeong, Ja-Yeon, Stephen M. Pizer, & Surajit Ray. (2006). Statistics on Anatomic Objects Reflecting Inter-Object Relations. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 136–145. 4 indexed citations

13.

Pizer, Stephen M., et al.. (2005). Multi-figure Anatomical Objects for Shape Statistics. Lecture notes in computer science. 19. 701–712. 8 indexed citations

14.

Jeong, Ja-Yeon. (2004). Verbal Irony and Situational Irony : Why do people use verbal irony?. Seoul National University Open Repository (Seoul National University). 3. 1 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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