K. Song

443 total citations
21 papers, 369 citations indexed

About

K. Song is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, K. Song has authored 21 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 7 papers in Atomic and Molecular Physics, and Optics and 6 papers in Spectroscopy. Recurrent topics in K. Song's work include Advanced Chemical Physics Studies (6 papers), Machine Learning in Materials Science (4 papers) and Nuclear Materials and Properties (3 papers). K. Song is often cited by papers focused on Advanced Chemical Physics Studies (6 papers), Machine Learning in Materials Science (4 papers) and Nuclear Materials and Properties (3 papers). K. Song collaborates with scholars based in South Korea, China and Russia. K. Song's co-authors include Jun Li, John M. Hayes, Jörg Behler, Euo Chang Jung, Jei‐Won Yeon, Jong-Il Yun, Chava Lifshitz, Vi̇ktorya Avi̇yente, V. A. Kapitanov and Sang-Eun Bae and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry and Chemical Physics Letters.

In The Last Decade

K. Song

20 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Song South Korea 12 142 111 109 73 43 21 369
V. B. Morozov Russia 11 72 0.5× 104 0.9× 106 1.0× 50 0.7× 21 0.5× 46 319
Xianfeng Zheng China 10 48 0.3× 213 1.9× 111 1.0× 64 0.9× 45 1.0× 65 388
Rod S. Mason United Kingdom 16 97 0.7× 175 1.6× 341 3.1× 105 1.4× 103 2.4× 54 639
Anita M. Renlund United States 14 98 0.7× 227 2.0× 150 1.4× 148 2.0× 12 0.3× 29 474
S. P. Heneghan United States 15 123 0.9× 161 1.5× 104 1.0× 25 0.3× 71 1.7× 43 720
U. C. Sridharan United States 10 73 0.5× 100 0.9× 115 1.1× 30 0.4× 33 0.8× 15 373
C. Capellos United States 11 124 0.9× 105 0.9× 78 0.7× 117 1.6× 8 0.2× 36 395
H. Oser United States 13 74 0.5× 88 0.8× 297 2.7× 46 0.6× 74 1.7× 27 470
Dragoslav M. Mitrinović United States 7 82 0.6× 332 3.0× 32 0.3× 23 0.3× 22 0.5× 9 460
Geoffrey J. Germann United States 13 66 0.5× 380 3.4× 263 2.4× 50 0.7× 15 0.3× 17 481

Countries citing papers authored by K. Song

Since Specialization
Citations

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

Fields of papers citing papers by K. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Song

This figure shows the co-authorship network connecting the top 25 collaborators of K. Song. A scholar is included among the top collaborators of K. Song 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 K. Song. K. Song 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.
Song, K. & Jun Li. (2025). Ro-Vibrational Mode Specificity in the Dynamics of the OH + CH 3 OH Reaction. The Journal of Physical Chemistry A. 129(48). 11189–11202.
2.
Song, K. & Jun Li. (2024). Fundamental Invariant Neural Network (FI-NN) Potential Energy Surface for the OH + CH3OH Reaction with Analytical Forces. The Journal of Physical Chemistry A. 128(32). 6636–6647. 5 indexed citations
3.
Song, K., et al.. (2024). OH-Formation following vibrationally induced reaction dynamics of H2COO. Physical Chemistry Chemical Physics. 26(16). 12698–12708. 2 indexed citations
4.
5.
Song, K., Silvan Käser, Kai Töpfer, Luis Itza Vazquez-Salazar, & Markus Meuwly. (2023). PhysNet meets CHARMM: A framework for routine machine learning/molecular mechanics simulations. The Journal of Chemical Physics. 159(2). 16 indexed citations
6.
Song, K., Hongwei Song, & Jun Li. (2022). Validating experiments for the reaction H 2 + NH 2 − by dynamical calculations on an accurate full-dimensional potential energy surface. Physical Chemistry Chemical Physics. 24(17). 10160–10167. 12 indexed citations
7.
Li, Jun, K. Song, & Jörg Behler. (2019). A critical comparison of neural network potentials for molecular reaction dynamics with exact permutation symmetry. Physical Chemistry Chemical Physics. 21(19). 9672–9682. 40 indexed citations
8.
Jung, Seung Ho, et al.. (2013). Investigation on exceptional fuel CRUD samples by using radioactivity ratios of cobalt isotopes. Applied Radiation and Isotopes. 81. 307–309. 4 indexed citations
9.
Cha, Wansik, et al.. (2011). Spectroscopic studies on U(VI)-salicylate complex formation with multiple equilibria. Radiochimica Acta. 100(6). 371–379. 7 indexed citations
10.
Jung, Euo Chang, et al.. (2011). Time-resolved laser-induced fluorescence spectroscopy of Nd3+ in molten LiCl–KCl eutectic. Chemical Physics Letters. 516(4-6). 177–181. 8 indexed citations
11.
Song, K., et al.. (2011). Radiochemical Analysis of Tritium for ITER Type B Metallic Radwastes. Fusion Science & Technology. 60(3). 1006–1009. 2 indexed citations
12.
Bae, Sang-Eun, et al.. (2011). UV–vis absorption spectroscopic study for on-line monitoring of uranium concentration in LiCl–KCl eutectic salt. Microchemical Journal. 99(2). 170–173. 17 indexed citations
13.
Jung, Euo Chang, et al.. (2011). Quantitative determination of uranium and europium in glass matrix by laser-induced breakdown spectroscopy. Spectrochimica Acta Part B Atomic Spectroscopy. 66(9-10). 761–764. 48 indexed citations
14.
Lee, M.H., Jong‐Ho Park, & K. Song. (2011). Investigation on the nuclear track techniques for the screening of the fissile nuclides in swipe samples. Radiation Measurements. 46(4). 409–412. 7 indexed citations
15.
Jung, Euo Chang, et al.. (2010). Temperature dependence of laser-induced fluorescence of Tb3+ in molten LiCl–KCl eutectic. Chemical Physics Letters. 501(4-6). 300–303. 11 indexed citations
16.
Wong, C.P.C., В. М. Чернов, Akihiko Kimura, et al.. (2007). ITER-Test blanket module functional materials. Journal of Nuclear Materials. 367-370. 1287–1292. 52 indexed citations
17.
Song, K., V. A. Kapitanov, Yu. N. Ponomarev, et al.. (2002). Differential Helmholtz resonant photoacoustic cell for spectroscopy and gas analysis with room-temperature diode lasers. Applied Physics B. 75(2-3). 215–227. 28 indexed citations
18.
Song, K., et al.. (1995). Application of optical parametric oscillators to photoacoustic studies in semiconductors. Applied Physics B. 61(6). 547–552. 8 indexed citations
19.
Lifshitz, Chava, et al.. (1991). Transition-state switchings for single potential well ionic dissociations. The Journal of Physical Chemistry. 95(23). 9298–9302. 32 indexed citations
20.
Song, K. & John M. Hayes. (1989). Supersonic jet spectra of p-alkylphenols. Journal of Molecular Spectroscopy. 134(1). 82–97. 40 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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