Jongheon Jeong

1.4k total citations · 1 hit paper
9 papers, 322 citations indexed

About

Jongheon Jeong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jongheon Jeong has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jongheon Jeong's work include Anomaly Detection Techniques and Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Jongheon Jeong is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Jongheon Jeong collaborates with scholars based in South Korea, Canada and United States. Jongheon Jeong's co-authors include Jinwoo Shin, Jaehyung Kim, Onkar Dabeer, Dongqing Zhang, Taewan Kim, Avinash Ravichandran, Jihoon Tack, Sangwoo Mo, Sung Ju Hwang and Won Jin Lee and has published in prestigious journals such as IEEE Access, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Jongheon Jeong

8 papers receiving 315 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.

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

2023 125 citations Jongheon Jeong, Taewan Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jongheon Jeong South Korea	5	253	104	46	37	28	9	322
Yunkang Cao China	9	209 0.8×	75 0.7×	33 0.7×	59 1.6×	69 2.5×	26	269
Sindy Löwe Netherlands	3	161 0.6×	53 0.5×	22 0.5×	43 1.2×	65 2.3×	4	206
Neelu Madan Denmark	4	216 0.9×	99 1.0×	24 0.5×	97 2.6×	39 1.4×	6	257
Guoyang Xie China	6	164 0.6×	64 0.6×	27 0.6×	34 0.9×	51 1.8×	10	229
Shun Ishizaka Japan	2	248 1.0×	82 0.8×	36 0.8×	77 2.1×	84 3.0×	2	310
Liangliang Li China	6	250 1.0×	118 1.1×	24 0.5×	32 0.9×	30 1.1×	13	327
Denis Gudovskiy United States	4	253 1.0×	91 0.9×	36 0.8×	81 2.2×	84 3.0×	7	332
Tom Wehrbein Germany	3	244 1.0×	79 0.8×	31 0.7×	84 2.3×	92 3.3×	4	303
Bastian Wandt Sweden	3	249 1.0×	79 0.8×	31 0.7×	85 2.3×	93 3.3×	4	303
Marco Rudolph Germany	5	255 1.0×	81 0.8×	32 0.7×	87 2.4×	94 3.4×	8	312

Countries citing papers authored by Jongheon Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Jongheon Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongheon Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Jongheon Jeong. A scholar is included among the top collaborators of Jongheon 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 Jongheon Jeong. Jongheon 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:

9 of 9 papers shown

1.

Jeong, Jongheon, et al.. (2024). Few-Shot Anomaly Detection via Personalization. IEEE Access. 12. 11035–11051. 4 indexed citations

2.

Jeong, Jongheon, Seojin Kim, & Jinwoo Shin. (2023). Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8005–8013.

3.

Jeong, Jongheon, et al.. (2023). WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. 19606–19616. 125 indexed citations breakdown →

4.

Tack, Jihoon, et al.. (2022). Consistency Regularization for Adversarial Robustness. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8414–8422. 25 indexed citations

5.

Lee, Joonhee, Hyunwoo Lee, Jongheon Jeong, Doowon Kim, & Ted Taekyoung Kwon. (2021). Analyzing Spatial Differences in the TLS Security of Delegated Web Services. 475–487. 1 indexed citations

6.

Tack, Jihoon, Sangwoo Mo, Jongheon Jeong, & Jinwoo Shin. (2020). CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. arXiv (Cornell University). 33. 11839–11852. 19 indexed citations

7.

Kim, Jaehyung, Jongheon Jeong, & Jinwoo Shin. (2020). M2m: Imbalanced Classification via Major-to-Minor Translation. 13893–13902. 143 indexed citations

8.

Jeong, Jongheon & Jinwoo Shin. (2019). Training CNNs with Selective Allocation of Channels. arXiv (Cornell University). 3080–3090. 2 indexed citations

9.

Kim, Jaehyung, Jongheon Jeong, & Jinwoo Shin. (2019). Imbalanced Classification via Adversarial Minority Over-sampling. 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.

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