Iksung Kang

1.6k total citations · 1 hit paper
20 papers, 1.3k citations indexed

About

Iksung Kang is a scholar working on Atomic and Molecular Physics, and Optics, Radiation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Iksung Kang has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atomic and Molecular Physics, and Optics, 7 papers in Radiation and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Iksung Kang's work include Advanced X-ray Imaging Techniques (7 papers), Digital Holography and Microscopy (6 papers) and Climate variability and models (4 papers). Iksung Kang is often cited by papers focused on Advanced X-ray Imaging Techniques (7 papers), Digital Holography and Microscopy (6 papers) and Climate variability and models (4 papers). Iksung Kang collaborates with scholars based in United States, Singapore and China. Iksung Kang's co-authors include Kenneth R. Sperber, B. Wang, Andrew G. Turner, Aurel Moise, H. Annamalai, Tianjun Zhou, Akio Kitoh, George Barbastathis, Richard Neale and Max J. Suárez and has published in prestigious journals such as Nature Communications, Journal of Climate and Optics Express.

In The Last Decade

Iksung Kang

19 papers receiving 1.2k citations

Hit Papers

The Asian summer monsoon:... 2012 2026 2016 2021 2012 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century
    2012 679 citations Kenneth R. Sperber, H. Annamalai et al. Climate Dynamics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iksung Kang United States 10 1.1k 991 295 89 76 20 1.3k
Gábor Molnár Hungary 14 88 0.1× 100 0.1× 42 0.1× 30 0.3× 56 0.7× 50 609
Chengxing Zhai United States 14 518 0.5× 476 0.5× 50 0.2× 13 0.1× 70 0.9× 52 822
Takuya Kawahara Japan 18 261 0.2× 445 0.4× 110 0.4× 14 0.2× 82 1.1× 62 1.0k
Zesheng Chen China 18 851 0.8× 751 0.8× 519 1.8× 13 0.1× 113 1.5× 47 1.1k
Richard C. Levine United Kingdom 14 588 0.5× 710 0.7× 203 0.7× 40 0.4× 9 0.1× 23 870
Keith Miller United States 14 108 0.1× 249 0.3× 98 0.3× 27 0.3× 211 2.8× 34 726
Johannes Stoffels Germany 15 251 0.2× 89 0.1× 10 0.0× 26 0.3× 26 0.3× 42 685
Michael L. Jensen United States 18 749 0.7× 950 1.0× 63 0.2× 120 1.3× 18 0.2× 26 1.4k
Jin‐Soo Kim South Korea 12 367 0.3× 247 0.2× 68 0.2× 12 0.1× 12 0.2× 51 542
Y. H. Yamazaki United Kingdom 15 388 0.4× 473 0.5× 154 0.5× 21 0.2× 15 0.2× 22 799

Countries citing papers authored by Iksung Kang

Since Specialization
Citations

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

Fields of papers citing papers by Iksung Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iksung Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Iksung Kang. A scholar is included among the top collaborators of Iksung Kang 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 Iksung Kang. Iksung Kang 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.
Kim, Seonghoon, Jongmin Yoon, Iksung Kang, et al.. (2025). Optical segmentation-based compressed readout of neuronal voltage dynamics. Nature Communications. 16(1). 7194–7194. 1 indexed citations
2.
Kang, Iksung, Qinrong Zhang, Stella X. Yu, & Na Ji. (2024). Coordinate-based neural representations for computational adaptive optics in widefield microscopy. Nature Machine Intelligence. 6(6). 714–725. 11 indexed citations
3.
Barbastathis, George, et al.. (2023). On the use of deep learning for three-dimensional computational imaging. 1. 22–22. 1 indexed citations
4.
Kang, Iksung, Ziling Wu, Yi Jiang, et al.. (2023). Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time. Light Science & Applications. 12(1). 131–131. 6 indexed citations
5.
Kang, Iksung, Mirko Holler, Manuel Guizar‐Sicairos, et al.. (2023). Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits. Optica. 10(8). 1000–1000. 5 indexed citations
6.
Wu, Ziling, Iksung Kang, Yudong Yao, et al.. (2023). Three-dimensional nanoscale reduced-angle ptycho-tomographic imaging with deep learning (RAPID). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(1). 20 indexed citations
7.
Wu, Ziling, Iksung Kang, Tao Zhou, et al.. (2022). Photon-starved X-ray Ptychographic Imaging using Spatial Pyramid Atrous Convolution End-to-end Reconstruction (PtychoSPACER). CF1D.6–CF1D.6. 1 indexed citations
8.
Kang, Iksung, et al.. (2022). Simultaneous spectral recovery and CMOS micro-LED holography with an untrained deep neural network. Optica. 9(10). 1149–1149. 9 indexed citations
9.
Kang, Iksung, Alexandre Goy, & George Barbastathis. (2021). Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views. Light Science & Applications. 10(1). 178–178. 15 indexed citations
10.
Kang, Iksung, et al.. (2021). Recurrent neural network reveals transparent objects through scattering media. Optics Express. 29(4). 5316–5316. 11 indexed citations
11.
Kang, Iksung, Yudong Yao, Junjing Deng, et al.. (2021). Three-dimensional reconstruction of integrated circuits by single-angle X-ray ptychography with machine learning. CTu6A.4–CTu6A.4. 1 indexed citations
12.
Allan, Gregory, Iksung Kang, Ewan S. Douglas, George Barbastathis, & Kerri Cahoy. (2020). Deep residual learning for low-order wavefront sensing in high-contrast imaging systems. Optics Express. 28(18). 26267–26267. 20 indexed citations
13.
Kang, Iksung, Fucai Zhang, & George Barbastathis. (2020). Phase extraction neural network (PhENN) with coherent modulation imaging (CMI) for phase retrieval at low photon counts. Optics Express. 28(15). 21578–21578. 31 indexed citations
14.
Allan, Gregory, Iksung Kang, Ewan S. Douglas, et al.. (2020). Deep neural networks to improve the dynamic range of Zernike phase-contrast wavefront sensing in high-contrast imaging systems. UA Campus Repository (The University of Arizona). 189–189. 3 indexed citations
15.
Kucharski, Fred, et al.. (2017). Western tropical Pacific multidecadal variability forced by the Atlantic multidecadal oscillation. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
16.
17.
Sperber, Kenneth R., H. Annamalai, Iksung Kang, et al.. (2012). The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century. Climate Dynamics. 41(9-10). 2711–2744. 679 indexed citations breakdown →
18.
Sperber, Kenneth R., W. Stern, Duane E. Waliser, et al.. (2009). Application of MJO Simulation Diagnostics to Climate Models. Journal of Climate. 22(23). 6413–6436. 309 indexed citations
19.
An, Soon‐Il, Jong‐Seong Kug, Yoo‐Geun Ham, & Iksung Kang. (2008). ENSO modulation during a global-warming progression. AGUFM. 2008. 1 indexed citations
20.
Wang, Bin, June‐Yi Lee, Iksung Kang, et al.. (2007). How accurately do coupled climate models predict the leading modes of Asian-Australian monsoon interannual variability?. Climate Dynamics. 30(6). 605–619. 129 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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