Sang-Woong Lee

2.4k citations
92 papers · 1.4k indexed · h-index 19
Topics
AI in cancer detection (11 papers)Advanced Neural Network Applications (8 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
Partner nations
South KoreaVietnamTaiwan

In The Last Decade

Sang-Woong Lee

75 papers receiving 1.4k citations

Peers

Sang-Woong Lee
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 432
  • Artificial Intelligence 371
  • Computer Networks and Communications 364
  • Media Technology 183
  • Radiology, Nuclear Medicine and Imaging 157
Replace Wathiq Mansoor with:
Wathiq Mansoor United Arab Emirates
Abdul Rahman Ramli Malaysia
Khursheed Aurangzeb Saudi Arabia
Fahd N. Al‐Wesabi Saudi Arabia
Mohammad Hossein Anisi Malaysia
Mansour Zuair Saudi Arabia
Xiangbing Zhou China
Kin‐Choong Yow Canada
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Citations per field
00.5×3.3×
Wathiq Mansoor · 1×
Citations per year

Countries citing papers authored by Sang-Woong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Woong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Woong Lee. 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 Sang-Woong Lee. The network helps show where Sang-Woong Lee may publish in the future.

Co-authorship network of co-authors of Sang-Woong Lee

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
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6 7
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8 9
9 9
10 1
11 1
12 42
13
Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision.
0
14 61
15
CNN-facilitated Color and Character Recognition in Practical Application
1
16
Facial Image Reconstruction from a Corrupted Image by Support Vector Data Description
1
17
Removing Lighting Reflection under Dark and Rainy Environments based on Stereoscopic Vision
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18 3
19
[Examination of therapy using trastuzumab in patients with metastatic breast carcinoma].
1
20
Comparison of Wavefront Guided Customized Ablation vs. Conventional Ablation
4

About Sang-Woong Lee

Sang-Woong Lee is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Advanced Neural Network Applications (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (432 citations), Media Technology (183 citations) and Computer Networks and Communications (364 citations). Sang-Woong Lee has collaborated with scholars based in South Korea, Vietnam and Taiwan. Frequent co-authors include Sahadev Poudel, Duc My Vo, Muhammad Adnan Khan, Amir Masoud Rahmani, Mehdi Hosseinzadeh, Ngoc-Quang Nguyen, Sagheer Abbas, Taher M. Ghazal, Yoon Jae Kim and Mohammad Sadegh Yousefpoor. Their work appears in journals such as PLoS ONE, Scientific Reports and Construction and Building Materials.

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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