| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 39 | 4592 | 4408 | 155 | 151 | 188 | 10444 |
| Computer Science | 39 | 9538 | 9262 | 99 | 99 | 193 | 10502 |
The chart shows the history of publications by Song Chong between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Song Chong published across 34 years, from 1992 to 2025, averaging 6.1 papers a year. Output peaked at 19 publications in 2007. 6 of the 208 publications appeared in the last two years.
208 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1992 | 1 |
| 1993 | 3 |
| 1994 | 1 |
| 1995 | 3 |
| 1996 | 3 |
| 1997 | 5 |
| 1998 | 3 |
| 1999 | 0 |
| 2000 | 1 |
| 2001 | 4 |
| 2002 | 2 |
| 2003 | 0 |
| 2004 | 10 |
| 2005 | 8 |
| 2006 | 6 |
| 2007 | 19 |
| 2008 | 12 |
| 2009 | 14 |
| 2010 | 9 |
| 2011 | 16 |
| 2012 | 8 |
| 2013 | 11 |
| 2014 | 8 |
| 2015 | 7 |
| 2016 | 10 |
| 2017 | 11 |
| 2018 | 8 |
| 2019 | 5 |
| 2020 | 3 |
| 2021 | 4 |
| 2022 | 5 |
| 2023 | 2 |
| 2024 | 3 |
| 2025 | 3 |
| Total | 208 |
The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Song Chong sits on this spectrum.
This scientist: 188 publications — 26th percentile
26% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
| Publications | Scientists | This scientist |
|---|---|---|
| 34–53 | 24 | |
| 54–73 | 52 | |
| 74–93 | 114 | |
| 94–113 | 203 | |
| 114–133 | 269 | |
| 134–153 | 355 | |
| 154–173 | 403 | |
| 174–193 | 445 | 188 |
| 194–213 | 430 | |
| 214–233 | 431 | |
| 234–253 | 399 | |
| 254–273 | 366 | |
| 274–293 | 335 | |
| 294–313 | 300 | |
| 314–333 | 276 | |
| 334–353 | 250 | |
| 354–373 | 214 | |
| 374–393 | 187 | |
| 394–413 | 152 | |
| 414–433 | 169 | |
| 434–453 | 147 | |
| 454–473 | 111 | |
| 474–493 | 117 | |
| 494–513 | 103 | |
| 514–533 | 99 | |
| 534–553 | 92 | |
| 554–573 | 75 | |
| 574–593 | 58 | |
| 594–613 | 69 | |
| 614–633 | 50 | |
| 634–653 | 62 | |
| 654–673 | 54 | |
| 674–693 | 44 | |
| 694–713 | 37 | |
| 714–733 | 28 | |
| 734–753 | 26 | |
| 754–773 | 26 | |
| 774–793 | 19 | |
| 794–813 | 23 | |
| 814–833 | 20 | |
| 834–853 | 16 | |
| 854–873 | 20 | |
| 874–893 | 11 | |
| 894–913 | 11 | |
| 914–933 | 16 | |
| 934–953 | 13 | |
| 954–973 | 10 | |
| 974–993 | 11 | |
| 994–1,013 | 9 | |
| 1,014–1,033 | 9 | |
| 1,034–1,053 | 10 | |
| 1,054–1,064 | 6 | |
| 1,065+ | 99 |
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Song Chong sits on this spectrum.
This scientist: 39 D-Index — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
| D-Index | Scientists | This scientist |
|---|---|---|
| 30 | 178 | |
| 31 | 257 | |
| 32 | 263 | |
| 33 | 262 | |
| 34 | 244 | |
| 35 | 236 | |
| 36 | 211 | |
| 37 | 220 | |
| 38 | 214 | |
| 39 | 214 | 39 |
| 40 | 205 | |
| 41 | 187 | |
| 42 | 194 | |
| 43 | 201 | |
| 44 | 155 | |
| 45 | 189 | |
| 46 | 148 | |
| 47 | 160 | |
| 48 | 134 | |
| 49 | 130 | |
| 50 | 141 | |
| 51 | 156 | |
| 52 | 108 | |
| 53 | 130 | |
| 54 | 112 | |
| 55 | 97 | |
| 56 | 111 | |
| 57 | 102 | |
| 58 | 108 | |
| 59 | 120 | |
| 60 | 103 | |
| 61 | 93 | |
| 62 | 92 | |
| 63 | 74 | |
| 64 | 77 | |
| 65 | 73 | |
| 66 | 64 | |
| 67 | 69 | |
| 68 | 60 | |
| 69 | 39 | |
| 70 | 57 | |
| 71 | 59 | |
| 72 | 46 | |
| 73 | 49 | |
| 74 | 38 | |
| 75 | 35 | |
| 76 | 32 | |
| 77 | 35 | |
| 78 | 31 | |
| 79 | 22 | |
| 80 | 34 | |
| 81 | 31 | |
| 82 | 34 | |
| 83 | 23 | |
| 84 | 18 | |
| 85 | 30 | |
| 86 | 19 | |
| 87 | 19 | |
| 88 | 20 | |
| 89 | 8 | |
| 90 | 17 | |
| 91 | 7 | |
| 92 | 14 | |
| 93 | 9 | |
| 94 | 15 | |
| 95 | 10 | |
| 96 | 12 | |
| 97 | 10 | |
| 98 | 10 | |
| 99 | 12 | |
| 100 | 16 | |
| 101 | 5 | |
| 102 | 7 | |
| 103 | 7 | |
| 104 | 8 | |
| 105 | 9 | |
| 106 | 13 | |
| 107 | 4 | |
| 108 | 5 | |
| 109 | 10 | |
| 110 | 8 | |
| 111+ | 96 |
Song Chong is a researcher affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their work spans the fields of Computer Science and Engineering, with a particular focus on Electrical and Electronic Engineering and Artificial Intelligence. They have contributed to research in diverse subfields including Computer Networks and Communications, Signal Processing, and Computer Vision and Pattern Recognition.
Their research topics cover several specialized areas such as Advanced MIMO Systems Optimization, Network Traffic and Congestion Control, Reinforcement Learning in Robotics, Artificial Intelligence in Games, Advanced Malware Detection Techniques, Advanced Neural Network Applications, and Image and Video Quality Assessment.
The scientist has published papers in venues including arXiv (Cornell University), Proceedings of the 30th ACM International Conference on Multimedia, IEEE/ACM Transactions on Networking, IEEE Transactions on Wireless Communications, and GetMobile Mobile Computing and Communications.
Recent publications include:
Song Chong frequently collaborates with a set of co-authors, including Kyungmin Bin, Kyunghan Lee, Sangtae Ha, Jihwan Oh, and Yongsik Lee, each having worked together on at least three publications.
Injong Rhee;Minsu Shin;Seongik Hong;Kyunghan Lee
Kyunghan Lee;Joohyun Lee;Yung Yi;Injong Rhee
K. Lee;S. Hong;S. J. Kim;I. Rhee
Kyunghan Lee;Seongik Hong;Seong Joon Kim;Injong Rhee
Kyunghan Lee;Joohyun Lee;Yung Yi;Injong Rhee
Injong Rhee;Minsu Shin;Seongik Hong;Kyunghan Lee
Jeongho Kwak;Yeongjin Kim;Joohyun Lee;Song Chong
Kyuho Son;Song Chong;G. Veciana
Song Chong;Ramesh Nagarajan;Yung-Terng Wang
Song Chong;San-qi Li;J. Ghosh
Kyuho Son;Soohwan Lee;Yung Yi;Song Chong
San-Qi Li;Song Chong;Chia-Lin Hwang
Joohyun Lee;Yung Yi;Song Chong;Youngmi Jin
In-Joong Ha;Song Chong
Kyunghan Lee;Yung Yi;Jaeseong Jeong;Hyungsuk Won
Jeongho Kwak;Yeongjin Kim;Long Bao Le;Song Chong
Marco Conti;Song Chong;Serge Fdida;Weijia Jia
Jihwan Kim;Hyang-Won Lee;Song Chong
Hyang-Won Lee;Song Chong
Yeongjin Kim;Jeongho Kwak;Song Chong
S. Chong;S.-Q. Li;J. Ghosh
If you think any of the details on this page are incorrect, let us know.
For students pursuing Electronics and Electrical Engineering in the USA, exploring related online degrees can broaden career opportunities. Many programs are now designed with flexibility in mind, particularly for working adults seeking to upskill without compromising their current jobs. If you’re looking to accelerate your education, consider programs like the accelerated online project management degree, which can be completed faster than traditional degrees.
Project management skills are highly valued in engineering fields, making degrees such as the bachelor of project management online a smart complement to a technical background. These programs are particularly suited for degree programs for working adults, offering the chance to balance study with professional commitments.
Additionally, those with introverted personalities may find rewarding career options in fields like electronics design, development, or testing. For insights into introvert jobs that pay well, consider exploring roles that leverage strong analytical skills and attention to detail, which are essential in engineering and project management alike.
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