| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 46 | 3428 | 3288 | 1262 | 1176 | 129 | 7321 |
| Computer Science | 50 | 5702 | 5542 | 2588 | 2498 | 143 | 8008 |
The chart shows the history of publications by Li Shang between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Li Shang published across 25 years, from 2001 to 2025, averaging 10.1 papers a year. Output peaked at 36 publications in 2024. 65 of the 253 publications appeared in the last two years.
253 publications in total across all disciplines
| Year | Publications |
|---|---|
| 2001 | 1 |
| 2002 | 4 |
| 2003 | 3 |
| 2004 | 2 |
| 2005 | 0 |
| 2006 | 10 |
| 2007 | 12 |
| 2008 | 12 |
| 2009 | 17 |
| 2010 | 17 |
| 2011 | 20 |
| 2012 | 8 |
| 2013 | 10 |
| 2014 | 4 |
| 2015 | 5 |
| 2016 | 6 |
| 2017 | 11 |
| 2018 | 6 |
| 2019 | 1 |
| 2020 | 4 |
| 2021 | 2 |
| 2022 | 9 |
| 2023 | 24 |
| 2024 | 36 |
| 2025 | 29 |
| Total | 253 |
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 Li Shang sits on this spectrum.
This scientist: 129 publications — 9th percentile
9% 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 | 129 |
| 134–153 | 355 | |
| 154–173 | 403 | |
| 174–193 | 445 | |
| 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 Li Shang sits on this spectrum.
This scientist: 46 D-Index — 52nd percentile
52% 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 | |
| 40 | 205 | |
| 41 | 187 | |
| 42 | 194 | |
| 43 | 201 | |
| 44 | 155 | |
| 45 | 189 | |
| 46 | 148 | 46 |
| 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 |
Li Shang is affiliated with the University of Colorado Boulder in the United States and has developed a research profile primarily in computer science and engineering. Their work spans various subfields including electrical and electronic engineering, artificial intelligence, information systems, hardware and architecture, and mechanical engineering.
Their research topics cover a diverse range of areas such as VLSI and FPGA design techniques, topic modeling, recommender systems and techniques, non-destructive testing techniques, ultrasonics and acoustic wave propagation, embedded systems design techniques, and VLSI and analog circuit testing.
Li Shang has a consistent publication record, with works appearing frequently in venues such as arXiv (Cornell University), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Design Automation of Electronic Systems, and Preprints.org.
Notable recent papers include:
Frequent collaborators include Fan Yang, Tun Lu, Ning Gu, Mingzhi Dong, and Xuan Zeng, indicating a network of partnerships spanning different research projects and interdisciplinary interests.
Li Shang;Li-Shiuan Peh;N.K. Jha
Li Shang;Alireza S. Kaviani;Kusuma Bathala
R. Piedrahita;Y. Xiang;N. Masson;J. Ortega
Yongpan Liu;Robert P. Dick;Li Shang;Huazhong Yang
Li Shang;Li-Shiuan Peh;Amit Kumar;Niraj K. Jha
Changyun Zhu;Zhenyu Gu;Li Shang;R.P. Dick
Yifei Jiang;Xin Pan;Kun Li;Qin Lv
Xi Chen;Lei Yang;Robert P Dick;Li Shang
Amit Kumar;Li Shang;Li-Shiuan Peh;Niraj K. Jha
Yonghong Yang;Zhenyu Gu;Changyun Zhu;R.P. Dick
Noel Eisley;Li-shiuan Peh;Li Shang
D. Brooks;Robert P. Dick;Russ Joseph;Li Shang
Yongpan Liu;Huazhong Yang;R.P. Dick;H. Wang
Yifei Jiang;Yun Xiang;Xin Pan;Kun Li
Li Shang;Yonghong Yang;Robert P. Dick
Yifei Jiang;Kun Li;Lei Tian;Ricardo Piedrahita
Ke Meng;Russ Joseph;Robert P. Dick;Li Shang
Yingying Zhao;Dongsheng Li;Ao Dong;Dahai Kang
Pingqiang Zhou;Yuchun Ma;Zhouyuan Li;Robert P. Dick
Dongsheng Li;Chao Chen;Qin Lv;Li Shang
Kurt Keutzer;Peng Li;Li Shang;Hai Zhou
Kurt Keutzer;Peng Li;Li Shang;Hai Zhou
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Studying Electronics and Electrical Engineering in the USA opens diverse career opportunities, but many students also consider related online degrees to complement their skills. For those interested in educational technology, pursuing a master's in instructional design can enhance their expertise in designing technical training programs.
Additionally, competency-based degrees offer a flexible education model focused on mastering specific skills rather than time spent in class. These competency based degrees are ideal for professionals wanting to accelerate their learning and directly apply knowledge to real-world engineering challenges.
For military spouses and dependents seeking accessible education, numerous military spouse friendly online colleges offer support through flexible programs and dedicated resources, making it easier to balance family commitments with career advancement.
Lastly, those aiming to start their studies promptly can explore online colleges that start soon. These programs offer multiple enrollment dates throughout the year, allowing students to dive into their coursework without long waiting periods.
Fujitsu (Japan)
Scripps Research Institute
Kadir Has University
Samsung (South Korea)
Northeastern University
Emory University
University of Central Florida
Birkbeck, University of London
German Cancer Research Center
Feng Chia University
University of Reading
Aarhus University
University of Chicago
University of Toronto
City University of Hong Kong
Texas A&M University
