Yong‐Su Kim

2.6k total citations · 1 hit paper
130 papers, 1.8k citations indexed

About

Yong‐Su Kim is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yong‐Su Kim has authored 130 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Atomic and Molecular Physics, and Optics, 73 papers in Artificial Intelligence and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Yong‐Su Kim's work include Quantum Information and Cryptography (72 papers), Quantum Mechanics and Applications (41 papers) and Quantum Computing Algorithms and Architecture (40 papers). Yong‐Su Kim is often cited by papers focused on Quantum Information and Cryptography (72 papers), Quantum Mechanics and Applications (41 papers) and Quantum Computing Algorithms and Architecture (40 papers). Yong‐Su Kim collaborates with scholars based in South Korea, United States and Japan. Yong‐Su Kim's co-authors include Yoon-Ho Kim, Osung Kwon, Young‐Wook Cho, Jong Chan Lee, Sung Moon, Sang-Wook Han, Yoon-Ho Kim, Hyang‐Tag Lim, Yong-Kul Lee and Sang‐Yun Lee and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Yong‐Su Kim

116 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

Protecting entanglement from decoherence using weak measurement and quantum measurement reversal

2011 369 citations Yong‐Su Kim, Yoon-Ho Kim et al. Nature Physics profile →

Peers

Yong‐Su Kim

AI

AMPO

EEE

BE

ME

Yimin Wang China

Yanbing Zhang China

Jianzhong Zhang China

Tingting Sun China

Tao Lű Canada

Anbang Wang China

Manuel López-Amo Spain

Jianqiang Li China

Chao Qian China

Yimin Wang China

Yong‐Su Kim

783 ×0.6

AI

654 ×0.5

AMPO

173 ×0.7

EEE

117 ×1.0

BE

80 ×0.8

ME

Citations per year, relative to Yong‐Su Kim Yong‐Su Kim (= 1×) peers Yimin Wang

Countries citing papers authored by Yong‐Su Kim

Since Specialization

Citations

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

Fields of papers citing papers by Yong‐Su Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Su 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 Yong‐Su Kim. The network helps show where Yong‐Su Kim may publish in the future.

Co-authorship network of co-authors of Yong‐Su Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Lee, Donghwa, Sangin Kim, Heedeuk Shin, et al.. (2025). Classical and Quantum Experiments Using Hybrid Si3N₄-LiNbO₃ Photonic Chip. IEEE Photonics Technology Letters. 37(3). 173–176.

2.

Kim, Donghyun, Seongjin Hong, Yong‐Su Kim, et al.. (2024). Distributed quantum sensing of multiple phases with fewer photons. Nature Communications. 15(1). 266–266. 22 indexed citations

3.

Kim, Yong‐Su, et al.. (2024). Heralded Optical Entanglement Generation via the Graph Picture of Linear Quantum Networks. Quantum. 8. 1572–1572. 3 indexed citations

4.

Hong, Seongjin, et al.. (2024). Optimal multiple-phase estimation with multi-mode NOON states against photon loss. New Journal of Physics. 26(7). 73028–73028. 5 indexed citations

5.

Lim, Hyang‐Tag, et al.. (2024). Distributed quantum machine learning via classical communication. Quantum Science and Technology. 10(1). 15059–15059. 1 indexed citations

6.

Kim, Yong‐Su, et al.. (2024). Encoded-Fusion-Based Quantum Computation for High Thresholds with Linear Optics. Physical Review Letters. 133(5). 50605–50605. 5 indexed citations

7.

Lim, Hyang‐Tag, Yong‐Su Kim, Sangin Kim, et al.. (2024). Photon-pair generation using inverse-designed thin-film lithium niobate mode converters. APL Photonics. 9(5). 9 indexed citations

8.

Lee, Donghwa, Yong‐Su Kim, Hyang‐Tag Lim, et al.. (2023). Aluminum nitride waveguide beam splitters for integrated quantum photonic circuits. Photonics Research. 11(7). 1196–1196. 7 indexed citations

9.

Tserkis, Spyros, et al.. (2023). Surpassing the repeaterless bound with a photon-number encoded measurement-device-independent quantum key distribution protocol. npj Quantum Information. 9(1). 9 indexed citations

10.

Kim, Yosep, Yong‐Su Kim, Sang-Wook Han, et al.. (2021). Observing the quantum Cheshire cat effect with noninvasive weak measurement. npj Quantum Information. 7(1). 15 indexed citations

11.

Kim, Yong‐Su, et al.. (2020). Structure and Activity of Ni2P/Desilicated Zeolite β Catalysts for Hydrocracking of Pyrolysis Fuel Oil into Benzene, Toluene, and Xylene. Catalysts. 10(1). 47–47. 17 indexed citations

12.

Lee, Jung‐Hyun, Hojoong Jung, Sang-Wook Han, et al.. (2020). Bright Nitrogen-Vacancy Centers in Diamond Inverted Nanocones. ACS Photonics. 7(10). 2739–2747. 26 indexed citations

13.

Cho, Young‐Wook, Yosep Kim, Yong‐Su Kim, et al.. (2019). Emergence of the geometric phase from quantum measurement back-action. Nature Physics. 15(7). 665–670. 30 indexed citations

14.

Kim, Yosep, Yong‐Su Kim, Sang‐Yun Lee, et al.. (2018). Direct quantum process tomography via measuring sequential weak values of incompatible observables. Nature Communications. 9(1). 192–192. 63 indexed citations

15.

Yoo, ChangKyoo, et al.. (2010). Environmental systems engineering: a state of the art review.. Scientific Research and Essays. 5(17). 2341–2357. 5 indexed citations

16.

Ha, Ji‐Hyoung, Yong‐Su Kim, Hyung‐Il Kim, et al.. (2009). Evaluation for Efficacies of Commercial Sanitizers and Disinfectants against Bacillus cereus Strains. Food Science and Biotechnology. 18(2). 537–540. 4 indexed citations

17.

Kim, Yong‐Su, et al.. (2009). An Analysis on the Propriety of Labor Input at Design Stage in Construction Management. Korean Journal of Construction Engineering and Management. 10(3). 32–41. 1 indexed citations

18.

Kim, Yong‐Su, et al.. (2007). A Case Study on the Improvement Plan for Cost Prediction of Educational BTL Project based on Running Cost Analysis. Korean Journal of Construction Engineering and Management. 8(6). 139–149.

19.

Bahk, Gyung‐Jin, et al.. (2003). Monitoring of Listeria monocytogenes in an Ice Cream Manufacturing Plant in Korea. Food Science and Biotechnology. 12(6). 680–682. 1 indexed citations

20.

Yang, Bo‐Suk, et al.. (2003). Integration of ART-Kohonen Neural Network and Case-Based Reasoning for Intelligent Diagnosis System. 한국소음진동공학회 국제학술발표논문집. 4220–4227. 1 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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