Seok-ki Kim

745 citations
22 papers · 574 indexed · h-index 11

Seok-ki Kim

22 papers receiving 565 citations

Peers

Seok-ki Kim
Comparison fields: 5 of 64
  • Obstetrics and Gynecology 204
  • Reproductive Medicine 117
  • Radiology, Nuclear Medicine and Imaging 172
  • Gastroenterology 30
  • Psychiatry and Mental health 77
Replace Chia Hung Kao with:
Chia Hung Kao Taiwan
Baixuan Xu China
L. Scucchi Italy
Francesca Bongioanni Italy
Marna B. McKenzie Canada
Marianne Lidang Jensen Denmark
Jonathan Frandsen United States
Cesare Romagnolo Italy
Antonella Stefanelli Italy
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Seok-ki Kim relative to Chia Hung Kao Taiwan Chia Hung Kao's profile →
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Citations per year

Countries citing papers authored by Seok-ki Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seok-ki Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Seok-ki Kim, 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 Seok-ki Kim Line = papers co-authored together Seok-ki Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 201912
3
Unsupervised lesion detection in bone scintigraphy using deep learning-based image inpainting technology
20191
4 20199
5 201816
6 20151
7 20152
8 201423
9 20147
10 201325
11 20137
12 20129
13 20104
14 20094
15 200848
16 2006243
17 200439
18 200231
19 200137
20 200032

About Seok-ki Kim

Seok-ki Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Radiation, Otorhinolaryngology and Oncology, having authored 22 papers that have together received 574 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Management of metastatic bone disease (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Epilepsy research and treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers), Advanced Radiotherapy Techniques (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (204 citations), Reproductive Medicine (117 citations), Radiology, Nuclear Medicine and Imaging (172 citations), Gastroenterology (30 citations) and Psychiatry and Mental health (77 citations). Seok-ki Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Keon Wook Kang, Sun Lee, Jooyoung Kim, Hyuck Jae Choi, Sang‐Soo Seo, Sang‐Yoon Park, Jong Seok Lee, Jun Yong Jeong, Ju‐Won Roh and Sang Kun Lee. Their work appears in journals such as Epilepsia, Journal of Nuclear Medicine, Cancer, EJNMMI Physics and Surgical Innovation.

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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