Byeonguk Bae

1.3k total citations
6 papers, 94 citations indexed

About

Byeonguk Bae is a scholar working on Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging and Archeology. According to data from OpenAlex, Byeonguk Bae has authored 6 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Orthopedics and Sports Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Archeology. Recurrent topics in Byeonguk Bae's work include Bone health and osteoporosis research (3 papers), Medical Imaging and Analysis (2 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). Byeonguk Bae is often cited by papers focused on Bone health and osteoporosis research (3 papers), Medical Imaging and Analysis (2 papers) and Forensic Anthropology and Bioarchaeology Studies (2 papers). Byeonguk Bae collaborates with scholars based in South Korea and Japan. Byeonguk Bae's co-authors include Sungho Jo, Jae-Won Lee, Sung Hye Kong, Chan Soo Shin, Jung Hee Kim, Pyeong Hwa Kim, Young Ah Cho, Jisun Hwang, Jae‐Yeon Hwang and Hee Mang Yoon and has published in prestigious journals such as European Radiology, Korean Journal of Radiology and Yonsei Medical Journal.

In The Last Decade

Byeonguk Bae

6 papers receiving 91 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Byeonguk Bae South Korea	5	30	29	23	22	20	6	94
Marcela Gurgel United States	9	15 0.5×	19 0.7×	18 0.8×	4 0.2×	13 0.7×	35	186
Kazumasa Yoshii Japan	7	65 2.2×	119 4.1×	35 1.5×	6 0.3×	11 0.6×	9	301
Marcos Ioshida United States	8	18 0.6×	22 0.8×	9 0.4×	2 0.1×	14 0.7×	13	176
Priscille de Dumast Switzerland	7	50 1.7×	16 0.6×	12 0.5×	1 0.0×	11 0.6×	12	181
P. Gianneios Greece	5	4 0.1×	46 1.6×	5 0.2×	7 0.3×	75 3.8×	6	116
Yan Ning Neo United Kingdom	7	80 2.7×	9 0.3×	8 0.3×	9 0.4×	13 0.7×	17	149
Diala Haykal France	8	15 0.5×	8 0.3×	13 0.6×		16 0.8×	44	182
Seong J. Jang United States	11	15 0.5×	52 1.8×	37 1.6×	10 0.5×	229 11.4×	24	283
Mireia Esplugas Spain	9	60 2.0×	21 0.7×	18 0.8×	54 2.5×	262 13.1×	21	326

Countries citing papers authored by Byeonguk Bae

Since Specialization

Citations

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

Fields of papers citing papers by Byeonguk Bae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byeonguk Bae

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

All Works

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6 of 6 papers shown

1.

Kim, Pyeong Hwa, Hee Mang Yoon, Jeong Rye Kim, et al.. (2023). Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels. Korean Journal of Radiology. 24(11). 1151–1151. 17 indexed citations

2.

Hwang, Jisun, Hee Mang Yoon, Jae‐Yeon Hwang, et al.. (2022). Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method. Yonsei Medical Journal. 63(7). 683–683. 10 indexed citations

3.

Kong, Sung Hye, et al.. (2022). Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm. Endocrinology and Metabolism. 37(4). 674–683. 34 indexed citations

4.

Ahn, Kyung‐Sik, Byeonguk Bae, Woo Young Jang, et al.. (2021). Assessment of rapidly advancing bone age during puberty on elbow radiographs using a deep neural network model. European Radiology. 31(12). 8947–8955. 11 indexed citations

5.

Bae, Byeonguk, et al.. (2018). Improved Deep Learning Model for Bone Age Assessment using Triplet Ranking Loss. 4 indexed citations

6.

Bae, Byeonguk, et al.. (2016). BCI based hybrid interface for 3D object control in virtual reality. 9. 1–4. 18 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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