Jaehong Aum

858 total citations · 1 hit paper
10 papers, 598 citations indexed

About

Jaehong Aum is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Jaehong Aum has authored 10 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Biomedical Engineering. Recurrent topics in Jaehong Aum's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Optical Coherence Tomography Applications (3 papers). Jaehong Aum is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Optical Coherence Tomography Applications (3 papers). Jaehong Aum collaborates with scholars based in South Korea, France and Hong Kong. Jaehong Aum's co-authors include Jichai Jeong, Kwang-Nam Jin, Chang Min Park, Sunggyun Park, Jung Im Kim, Eui Jin Hwang, So Young Choi, Jong Hyuk Lee, Jae‐Joon Yim and Jin Mo Goo and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Infectious Diseases and Cancers.

In The Last Decade

Jaehong Aum

9 papers receiving 583 citations

Hit Papers

align trajectories sort by overperformance

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.

Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

2019 289 citations Eui Jin Hwang, Sunggyun Park et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaehong Aum South Korea	6	441	193	125	113	90	10	598
Jaime Melendez Netherlands	16	675 1.5×	154 0.8×	63 0.5×	328 2.9×	103 1.1×	28	946
Johannes Hofmanninger Austria	11	385 0.9×	229 1.2×	96 0.8×	129 1.1×	42 0.5×	14	564
Cathal McCague United Kingdom	6	467 1.1×	82 0.4×	98 0.8×	269 2.4×	213 2.4×	11	737
Rick H. H. M. Philipsen Netherlands	14	641 1.5×	153 0.8×	55 0.4×	193 1.7×	116 1.3×	19	799
Miaofei Han China	11	347 0.8×	103 0.5×	93 0.7×	134 1.2×	35 0.4×	16	481
Maya Galperin-Aizenberg United States	13	404 0.9×	275 1.4×	83 0.7×	185 1.6×	68 0.8×	34	704
Abhirup Banerjee United Kingdom	12	208 0.5×	38 0.2×	48 0.4×	110 1.0×	29 0.3×	51	473
Amine Amyar United States	9	508 1.2×	73 0.4×	69 0.6×	259 2.3×	73 0.8×	22	592
Jinlu Ma China	2	651 1.5×	70 0.4×	33 0.3×	418 3.7×	139 1.5×	5	707
Pragnya Maduskar Netherlands	11	465 1.1×	120 0.6×	37 0.3×	162 1.4×	46 0.5×	19	618

Countries citing papers authored by Jaehong Aum

Since Specialization

Citations

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

Fields of papers citing papers by Jaehong Aum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehong Aum

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

All Works

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10 of 10 papers shown

Park, Jeong Hwan, Kyu Sang Lee, Wonkyung Jung, et al.. (2021). Pathologic validation of artificial intelligence-powered prediction of combined positive score of PD-L1 immunohistochemistry in urothelial carcinoma.. Journal of Clinical Oncology. 39(15_suppl). e16518–e16518. 3 indexed citations

Aum, Jaehong, Se‐Hoon Lee, Hong Kwan Kim, et al.. (2021). Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma. Cancers. 13(16). 4077–4077. 16 indexed citations

Kim, Hyojin, Sangjoon Choi, Seokhwi Kim, et al.. (2021). Clinical performance of artificial intelligence-powered annotation of tumor cell PD-L1 expression for treatment of immune-checkpoint inhibitor (ICI) in advanced non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 39(15_suppl). 9026–9026. 3 indexed citations

Hwang, Eui Jin, Sunggyun Park, Kwang-Nam Jin, et al.. (2019). Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs. JAMA Network Open. 2(3). e191095–e191095. 289 indexed citations breakdown →

Hwang, Eui Jin, Sunggyun Park, Kwang-Nam Jin, et al.. (2018). Development and Validation of a Deep Learning–based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs. Clinical Infectious Diseases. 69(5). 739–747. 162 indexed citations

Hwang, Eui Jin, Sunggyun Park, Kwang-Nam Jin, et al.. (2018). Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs. SSRN Electronic Journal. 3 indexed citations

Aum, Jaehong, et al.. (2015). A Case of Angioleiomyoma Arising from the Right Inferior Turbinate. Korean Journal of Otorhinolaryngology - Head and Neck Surgery. 58(5). 355–355.

Aum, Jaehong, Jihyun Kim, & Jichai Jeong. (2015). Live Acquisition of Internal Fingerprint With Automated Detection of Subsurface Layers Using OCT. IEEE Photonics Technology Letters. 28(2). 163–166. 29 indexed citations

Aum, Jaehong, et al.. (2015). Effective speckle noise suppression in optical coherence tomography images using nonlocal means denoising filter with double Gaussian anisotropic kernels. Applied Optics. 54(13). D43–D43. 88 indexed citations

10.

Aum, Jaehong, et al.. (2014). Optimization of compute unified device architecture for real-time ultrahigh-resolution optical coherence tomography. Optics Communications. 334. 308–313. 5 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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