Stephen Baek

46 papers receiving 594 citations

Peers

Stephen Baek
Comparison fields: 5 of 109
  • Health Informatics 12
  • Physical Therapy, Sports Therapy and Rehabilitation 22
  • Computer Graphics and Computer-Aided Design 16
  • Computer Vision and Pattern Recognition 91
  • Radiology, Nuclear Medicine and Imaging 75
Replace Hanguang Xiao with:
Hanguang Xiao China
Shuai Huang China
Yongjun He China
Francesco Leporati Italy
Yasin Almalıoğlu United Kingdom
Ming Dong China
Shireen Elhabian United States
Machiko Tateishi Japan
Vedran Bilas Croatia
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Citations per year

Countries citing papers authored by Stephen Baek

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Baek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Baek Line = papers co-authored together Stephen Baek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019143
2 201976
3 202255
4 202135
5 202126
6 202323
7 202322
8 201819
9 202318
10 202318
11 202015
12 201615
13 201613
14 202011
15 202010
16 202210
17 20238
18 20238
19
What does AI see? Deep segmentation networks discover biomarkers for lung cancer survival.
20197
20
Deep Spectral Descriptors: Learning the point-wise correspondence metric via Siamese deep neural networks.
20176

About Stephen Baek

Stephen Baek is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Materials Chemistry, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 49 papers that have together received 611 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Model Reduction and Neural Networks (6 papers), Machine Learning in Materials Science (5 papers), Human Pose and Action Recognition (4 papers), Energetic Materials and Combustion (4 papers), Machine Learning and ELM (4 papers), High-Velocity Impact and Material Behavior (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Health Informatics (12 citations), Physical Therapy, Sports Therapy and Rehabilitation (22 citations), Computer Graphics and Computer-Aided Design (16 citations), Computer Vision and Pattern Recognition (91 citations) and Radiology, Nuclear Medicine and Imaging (75 citations). Stephen Baek has collaborated with scholars based in United States, Finland and South Korea. Frequent co-authors include Yusen He, Zhiyu Sun, Tinghui Ouyang, Huajin Li, H. S. Udaykumar, Phong Nguyen, Gerald J. Jogerst, Bahador Bahmani, Nikolaos N. Vlassis and WaiChing Sun. Their work appears in journals such as Scientific Reports, AI Magazine, Journal of Applied Physics, Journal of Computational Design and Engineering and Propellants Explosives Pyrotechnics.

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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