Kijoon Lee

1.7k total citations
45 papers, 1.2k citations indexed

About

Kijoon Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Physiology. According to data from OpenAlex, Kijoon Lee has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Biomedical Engineering and 12 papers in Physiology. Recurrent topics in Kijoon Lee's work include Optical Imaging and Spectroscopy Techniques (34 papers), Photoacoustic and Ultrasonic Imaging (29 papers) and Thermoregulation and physiological responses (9 papers). Kijoon Lee is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (34 papers), Photoacoustic and Ultrasonic Imaging (29 papers) and Thermoregulation and physiological responses (9 papers). Kijoon Lee collaborates with scholars based in United States, Singapore and South Korea. Kijoon Lee's co-authors include Renzhe Bi, Arjun G. Yodh, Alper Corlu, Regine Choe, Jing Dong, Turgut Durduran, Soren D. Konecky, Simon Arridge, Martin Schweiger and Brian J. Czerniecki and has published in prestigious journals such as Scientific Reports, Optics Letters and Optics Express.

In The Last Decade

Kijoon Lee

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kijoon Lee United States 16 973 905 299 115 92 45 1.2k
Karthik Vishwanath United States 17 648 0.7× 632 0.7× 47 0.2× 130 1.1× 227 2.5× 63 933
Cecil Cheung United States 8 579 0.6× 524 0.6× 95 0.3× 44 0.4× 86 0.9× 13 770
Amaan Mazhar United States 17 890 0.9× 818 0.9× 200 0.7× 87 0.8× 202 2.2× 33 1.2k
Joon-Mo Yang United States 14 760 0.8× 1.5k 1.7× 136 0.5× 73 0.6× 95 1.0× 40 1.7k
Joshua B. Fishkin United States 12 1.6k 1.7× 1.5k 1.7× 103 0.3× 102 0.9× 382 4.2× 21 1.8k
Troy O. McBride United States 15 1.4k 1.4× 1.4k 1.5× 85 0.3× 99 0.9× 151 1.6× 30 1.5k
Alexander Doronin New Zealand 15 458 0.5× 643 0.7× 124 0.4× 47 0.4× 190 2.1× 59 985
Edward L. Hull United States 13 699 0.7× 590 0.7× 50 0.2× 293 2.5× 160 1.7× 20 1.1k
Д. А. Рогаткин Russia 11 311 0.3× 203 0.2× 165 0.6× 72 0.6× 40 0.4× 116 494
Uwe J. Netz Germany 12 620 0.6× 625 0.7× 64 0.2× 28 0.2× 96 1.0× 37 828

Countries citing papers authored by Kijoon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kijoon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kijoon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kijoon Lee. A scholar is included among the top collaborators of Kijoon 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 Kijoon Lee. Kijoon 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
1.
Lee, Kijoon, et al.. (2023). Pressure stimulus study on acupuncture points with multi-channel multimode-fiber diffuse speckle contrast analysis (MMF-DSCA). Biomedical Optics Express. 14(11). 5602–5602. 4 indexed citations
2.
Lee, Kijoon, et al.. (2022). Blood flow estimation via numerical integration of temporal autocorrelation function in diffuse correlation spectroscopy. Computer Methods and Programs in Biomedicine. 222. 106933–106933. 7 indexed citations
3.
Listrat, Anne, Kheng Lim Goh, Céline Jousse, et al.. (2022). Dataset on transcriptome signature of skeletal muscle of young, adult and aged mice. Data in Brief. 43. 108321–108321.
4.
Lee, Kijoon, et al.. (2020). Low frequency oscillations assessed by diffuse speckle contrast analysis for foot angiosome concept. Scientific Reports. 10(1). 17153–17153. 11 indexed citations
5.
6.
Lee, Kijoon, et al.. (2015). Avian embryo monitoring during incubation using multi-channel diffuse speckle contrast analysis. Biomedical Optics Express. 7(1). 93–93. 16 indexed citations
7.
Song, Cheol, et al.. (2015). A fiber optic probe coupled low-cost CMOS-camera-based system for simultaneous measurement of oxy-, deoxyhemoglobin, and blood flow. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9523. 95230E–95230E.
8.
Wang, Huijuan, Anne Listrat, Bruno Meunier, et al.. (2014). Abstracts of the 7th Cachexia Conference, Kobe/Osaka, Japan, December 9–11, 2013 (Part 2). Journal of Cachexia Sarcopenia and Muscle. 5(1). 35–78. 12 indexed citations
9.
Dong, Jing, et al.. (2014). Hemodynamic monitoring of Chlorin e6-mediated photodynamic therapy using diffuse optical measurements. Journal of Photochemistry and Photobiology B Biology. 140. 163–172. 16 indexed citations
10.
Bi, Renzhe, Jing Dong, & Kijoon Lee. (2013). Deep tissue flowmetry based on diffuse speckle contrast analysis. Optics Letters. 38(9). 1401–1401. 97 indexed citations
11.
Dong, Jing, et al.. (2012). Diffuse correlation spectroscopy with a fast Fourier transform-based software autocorrelator. Journal of Biomedical Optics. 17(9). 970041–970041. 57 indexed citations
12.
Bi, Renzhe, Jing Dong, & Kijoon Lee. (2012). Coherent backscattering cone shape depends on the beam size. Applied Optics. 51(26). 6301–6301. 2 indexed citations
13.
Lee, Kijoon. (2010). Optical mammography: Diffuse optical imaging of breast cancer. World Journal of Clinical Oncology. 2(1). 64–64. 24 indexed citations
14.
Choe, Regine, Soren D. Konecky, Alper Corlu, et al.. (2009). Differentiation of benign and malignant breast tumors by in-vivo three-dimensional parallel-plate diffuse optical tomography. Journal of Biomedical Optics. 14(2). 24020–24020. 174 indexed citations
15.
Konecky, Soren D., George Y. Panasyuk, Kijoon Lee, et al.. (2008). Imaging complex structures with diffuse light. Optics Express. 16(7). 5048–5048. 64 indexed citations
16.
Konecky, Soren D., Regine Choe, Alper Corlu, et al.. (2008). Comparison of diffuse optical tomography of human breast with whole-body and breast-only positron emission tomography. Medical Physics. 35(2). 446–455. 27 indexed citations
17.
Wang, Hsing-Wen, Jarod C. Finlay, Kijoon Lee, et al.. (2007). Quantitative comparison of tissue oxygen and motexafin lutetium uptake by ex vivo and noninvasive in vivo techniques in patients with intraperitoneal carcinomatosis. Journal of Biomedical Optics. 12(3). 34023–34023. 14 indexed citations
18.
Azar, Fred S., Kijoon Lee, Ali Khamene, et al.. (2007). Standardized platform for coregistration of nonconcurrent diffuse optical and magnetic resonance breast images obtained in different geometries. Journal of Biomedical Optics. 12(5). 51902–51902. 26 indexed citations
19.
Choe, Regine, Alper Corlu, Kijoon Lee, et al.. (2005). Diffuse optical tomography of breast cancer during neoadjuvant chemotherapy: A case study with comparison to MRI. Medical Physics. 32(4). 1128–1139. 228 indexed citations
20.
Corlu, Alper, Regine Choe, Turgut Durduran, et al.. (2005). Diffuse optical tomography with spectral constraints and wavelength optimization. Applied Optics. 44(11). 2082–2082. 157 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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