Jong‐In Song

2.0k total citations
148 papers, 1.5k citations indexed

About

Jong‐In Song is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Jong‐In Song has authored 148 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Electrical and Electronic Engineering, 86 papers in Atomic and Molecular Physics, and Optics and 22 papers in Biomedical Engineering. Recurrent topics in Jong‐In Song's work include Semiconductor Quantum Structures and Devices (45 papers), Advanced Photonic Communication Systems (41 papers) and Optical Network Technologies (36 papers). Jong‐In Song is often cited by papers focused on Semiconductor Quantum Structures and Devices (45 papers), Advanced Photonic Communication Systems (41 papers) and Optical Network Technologies (36 papers). Jong‐In Song collaborates with scholars based in South Korea, United States and Japan. Jong‐In Song's co-authors include Ho-Jin Song, Hyoung-Jun Kim, Soo‐Ghang Ihn, Jae‐Hyung Jang, Wonbin Hong, I. Adesida, Jeonghwan Gwak, Seunghun Lee, C. Caneau and B. P. Van der Gaag and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Jong‐In Song

135 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong‐In Song South Korea 21 1.3k 687 382 175 97 148 1.5k
Trond Ytterdal Norway 22 1.8k 1.4× 240 0.3× 680 1.8× 142 0.8× 73 0.8× 183 2.1k
L.F. Tiemeijer Netherlands 28 2.6k 2.1× 843 1.2× 253 0.7× 96 0.5× 101 1.0× 118 2.8k
R. A. Chapman United States 23 1.2k 0.9× 524 0.8× 180 0.5× 339 1.9× 59 0.6× 117 1.6k
Shey‐Shi Lu Taiwan 27 2.4k 1.9× 465 0.7× 998 2.6× 60 0.3× 204 2.1× 222 2.8k
Yoshiyuki Yonezawa Japan 22 1.4k 1.1× 248 0.4× 157 0.4× 182 1.0× 101 1.0× 135 1.8k
Bahram Nabet United States 17 731 0.6× 385 0.6× 603 1.6× 578 3.3× 108 1.1× 91 1.3k
Masahiro Nunoshita Japan 21 970 0.8× 290 0.4× 167 0.4× 151 0.9× 35 0.4× 141 1.3k
Kwyro Lee South Korea 19 1.5k 1.2× 424 0.6× 361 0.9× 79 0.5× 175 1.8× 75 1.6k
C. Lauterbach Germany 15 362 0.3× 206 0.3× 316 0.8× 222 1.3× 83 0.9× 34 1.1k
Ognian Marinov Canada 22 1.3k 1.0× 114 0.2× 387 1.0× 175 1.0× 13 0.1× 68 1.6k

Countries citing papers authored by Jong‐In Song

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐In Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jong‐In Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐In Song. A scholar is included among the top collaborators of Jong‐In 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 Jong‐In Song. Jong‐In 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.
Ho, Thi Kieu Khanh, Minhee Kim, Byeong C. Kim, et al.. (2022). Deep Learning-Based Multilevel Classification of Alzheimer’s Disease Using Non-invasive Functional Near-Infrared Spectroscopy. Frontiers in Aging Neuroscience. 14. 810125–810125. 21 indexed citations
2.
Kang, In-Ho, et al.. (2017). Effect of selective hydrogen pretreatment on the characteristics of AlGaAs/InGaAs p-HEMTs. Open Access System for Information Sharing (Pohang University of Science and Technology).
3.
Kim, Donghyun, Jaehoon Lee, Jong‐In Song, & Wonzoo Chung. (2017). Blind Parameter Estimation Schemes for Uniform Linear Array MIMO Radars Using Distributed Multiple Electronic Sensors. The Journal of Korean Institute of Electromagnetic Engineering and Science. 28(8). 619–627.
4.
Song, Ho-Jin, et al.. (2017). Continuous-wave THz vector imaging system utilizing two-tone signal generation and self-mixing detection. Optics Express. 25(17). 20718–20718. 25 indexed citations
5.
Song, Jong‐In, et al.. (2015). Robust terahertz self-heterodyne system using a phase noise compensation technique. Optics Express. 23(16). 21181–21181. 7 indexed citations
6.
Khare, Ashish, et al.. (2015). 3D medical image fusion using dual tree complex wavelet transform. 251–256. 11 indexed citations
7.
Jang, Jae‐Hyung, et al.. (2014). A multiband power amplifier using a switch‐based reconfigurable matching network for optimized power performance. Microwave and Optical Technology Letters. 56(12). 2881–2884. 5 indexed citations
8.
9.
Kim, Hyoung-Jun, et al.. (2011). Linearization of an electro-absorption modulator using dual-wavelength modulation technique for radio-over-fiber applications. 531–532. 1 indexed citations
10.
11.
Kim, Hyoung-Jun & Jong‐In Song. (2009). All-optical single-sideband upconversion with an optical interleaver and a semiconductor optical amplifier for radio-over-fiber applications. Optics Express. 17(12). 9810–9810. 21 indexed citations
12.
13.
Cho, Sang-Hyun & Jong‐In Song. (2006). DESIGN OF A LOW-VOLTAGE, LOW-POWER ADC FOR SENSOR NETWORK APPLICATIONS. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 653–656. 1 indexed citations
14.
Song, Jong‐In, et al.. (2006). Investigation of Symmetric Key Cryptographic Algorithms for Security of Wireless Sensor Networks. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 197–200. 2 indexed citations
15.
Ihn, Soo‐Ghang, Jong‐In Song, Tae‐Wook Kim, et al.. (2006). Morphology- and Orientation-Controlled Gallium Arsenide Nanowires on Silicon Substrates. Nano Letters. 7(1). 39–44. 86 indexed citations
16.
Song, Ho-Jin, et al.. (2005). All-optical frequency down-conversion for full-duplex WDM RoF systems utilizing an SOA-MZI. 321–324. 5 indexed citations
17.
Song, Jin Dong, Il Ki Han, Yiling Yu, et al.. (2004). 1/f noise of GaAs Schottky diodes embedded with self-assembled InAs quantum dots. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5472. 432–432. 2 indexed citations
18.
Song, Jong‐In, et al.. (2004). 1.55-<tex>$muhboxm$</tex>DFB Lasers Utilizing an Automatically Buried Absorptive InAsP Layer Having a High Single-Mode Yield. IEEE Photonics Technology Letters. 16(6). 1426–1428. 10 indexed citations
19.
Song, Jong‐In. (2000). Chemical Beam Epitaxy Grown Carbon-Doped Base InP/InGaAs Heterojunction Bipolar Transistor Technology for Millimeter-Wave Applications. IEICE Transactions on Electronics. 83(1). 115–121. 2 indexed citations
20.
Song, Jong‐In, et al.. (1994). Millimetre-wave InP/InGaAs heterojunction bipolartransistors with a subpicosecond extrinsic delay time. Electronics Letters. 30(5). 456–457. 12 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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