Namkug Kim

15.7k total citations · 1 hit paper
412 papers, 10.9k citations indexed

About

Namkug Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Namkug Kim has authored 412 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 183 papers in Radiology, Nuclear Medicine and Imaging, 134 papers in Pulmonary and Respiratory Medicine and 77 papers in Biomedical Engineering. Recurrent topics in Namkug Kim's work include Radiomics and Machine Learning in Medical Imaging (93 papers), Lung Cancer Diagnosis and Treatment (52 papers) and MRI in cancer diagnosis (43 papers). Namkug Kim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (93 papers), Lung Cancer Diagnosis and Treatment (52 papers) and MRI in cancer diagnosis (43 papers). Namkug Kim collaborates with scholars based in South Korea, United States and China. Namkug Kim's co-authors include Joon Beom Seo, Guk Bae Kim, Hyunna Lee, June‐Goo Lee, Sanghoon Jun, Ho Sung Kim, Sang Min Lee, Kyoung‐Sik Cho, Jihye Yun and Bumwoo Park and has published in prestigious journals such as Circulation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Namkug Kim

400 papers receiving 10.7k 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.

Deep Learning in Medical Imaging: General Overview

2017 848 citations Hyunna Lee, Joon Beom Seo et al. Korean Journal of Radiology profile →

Peers

Countries citing papers authored by Namkug Kim

Since Specialization

Citations

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

Fields of papers citing papers by Namkug Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Namkug Kim

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Multimodal Large Language Models in Medical Imaging: Current State and Future Directions 2025 ·Korean Journal of Radiology ·(unknown), D. Kim, (unknown), (unknown), (unknown), (unknown), Ji‐Hyun Kim, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Namkug Kim	4
2	Attentional decoder networks for chest X-ray image recognition on high-resolution features 2024 ·Computer Methods and Programs in Biomedicine ·(unknown), Namkug Kim, Jongbin Ryu	3
3	Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging 2024 ·SHILAP Revista de lepidopterología ·(unknown), Gil-Sun Hong, Namkug Kim	0
4	Analyzing to discover origins of CNNs and ViT architectures in medical images 2024 ·Scientific Reports ·Seungmin Oh, Namkug Kim, Jongbin Ryu	5
5	Evaluation of the accuracy of an augmented reality-based tumor-targeting guide for breast-conserving surgery 2023 ·Computer Methods and Programs in Biomedicine ·(unknown), (unknown), (unknown), (unknown), Namkug Kim	2
6	Subregional pharyngeal changes after orthognathic surgery in skeletal Class III patients analyzed by convolutional neural networks-based segmentation 2023 ·Journal of Dentistry ·(unknown), (unknown), (unknown), Jin‐Young Choi, Kyung‐A Kim, Jung‐Yul Cha, Namkug Kim, Su‐Jung Kim	2
7	Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis 2023 ·Journal of Rheumatic Diseases ·Bon San Koo, Miso Jang, Ji Seon Oh, Keewon Shin, Seunghun Lee, Kyung Bin Joo, Namkug Kim, Tae‐Hwan Kim	3
8	Spatiotemporal association between air pollution and stroke mortality in South Korea 2023 ·Journal of Stroke and Cerebrovascular Diseases ·Sang Hee Ha, Jeongeun Hwang, Namkug Kim, Eun‐Jae Lee, (unknown), Sun U. Kwon	2
9	Automated diagnosis of flatfoot using cascaded convolutional neural network for angle measurements in weight-bearing lateral radiographs 2023 ·European Radiology ·Seung Min Ryu, Keewon Shin, (unknown), (unknown), (unknown), (unknown), (unknown), Min-Ju Kim, (unknown), (unknown), (unknown), Namkug Kim	4
10	Accuracy of posteroanterior cephalogram landmarks and measurements identification using a cascaded convolutional neural network algorithm: A multicenter study 2023 ·The Korean Journal of Orthodontics ·(unknown), (unknown), Jun‐Sik Kim, Jin‐Hyoung Cho, Mihee Hong, Minji Kim, Su‐Jung Kim, Yoon‐Ji Kim, Young Ho Kim, Sung‐Hoon Lim, Sang‐Jin Sung, (unknown), Seung‐Hak Baek, (unknown), Namkug Kim	1
11	Diagnosis of osteoporotic vertebral compression fractures and fracture level detection using multitask learning with U-Net in lumbar spine lateral radiographs 2023 ·Computational and Structural Biotechnology Journal ·Seung Min Ryu, So‐Young Lee, Miso Jang, Jung‐Min Koh, Sung Jin Bae, (unknown), Keewon Shin, Namkug Kim	13
12	Orthognathic surgical planning using graph CNN with dual embedding module: External validations with multi-hospital datasets 2023 ·Computer Methods and Programs in Biomedicine ·In-Hwan Kim, Jun‐Sik Kim, (unknown), Jaewoo Park, (unknown), Jin‐Hyoung Cho, Mihee Hong, Kyung‐Hwa Kang, Minji Kim, Su‐Jung Kim, Yoon‐Ji Kim, Sang‐Jin Sung, Young Ho Kim, (unknown), Seung‐Hak Baek, Namkug Kim	5
13	Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning 2023 ·Korean Journal of Radiology ·Gil-Sun Hong, Miso Jang, (unknown), (unknown), (unknown), (unknown), Keewon Shin, (unknown), Seung Min Ryu, Joon Beom Seo, Sang Min Lee, Namkug Kim	22
14	The Association Between Media-Based Exposure to Nonsuicidal Self-Injury and Emergency Department Visits for Self-Harm 2023 ·Journal of the American Academy of Child & Adolescent Psychiatry ·(unknown), (unknown), Jeong‐Min Ryu, Namkug Kim, Hyo‐Won Kim	5
15	Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learning 2022 ·Journal of Neuroimaging ·(unknown), Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El‐Saden, Sidney Starkman, Namkug Kim, Dong‐Wha Kang, William Speier, Corey Arnold	12
16	Fully automated condyle segmentation using 3D convolutional neural networks 2022 ·Scientific Reports ·Nayansi Jha, Taehun Kim, Sungwon Ham, Seung‐Hak Baek, Sang‐Jin Sung, Yoon‐Ji Kim, Namkug Kim	6
17	A fully automated landmark detection for spine surgery planning with a cascaded convolutional neural net 2022 ·Informatics in Medicine Unlocked ·In-Hwan Kim, (unknown), (unknown), Jun‐Sik Kim, (unknown), Yoon Ha, Namkug Kim	2
18	Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network 2022 ·Journal of the Korean Society of Radiology ·(unknown), Keewon Shin, (unknown), Seung‐Jin Yoo, Min A Yoon, Yo Won Choi, Gil-Sun Hong, Namkug Kim, (unknown)	3
19	Opportunistic Osteoporosis Screening Using Chest Radiographs With Deep Learning: Development and External Validation With a Cohort Dataset 2020 ·Journal of Bone and Mineral Research ·Miso Jang, Mingyu Kim, Sung Jin Bae, Seung Hun Lee, Jung‐Min Koh, Namkug Kim	56
20	Automated detection algorithm for C4d immunostaining showed comparable diagnostic performance to pathologists in renal allograft biopsy 2020 ·Modern Pathology ·(unknown), (unknown), (unknown), Namkug Kim, Hyunna Lee, Kyung Chul Moon, Heounjeong Go	8

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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