World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
7321
World Ranking
3428
National Ranking
1262

Computer Science

D-Index
50
Citations
8008
World Ranking
5702
National Ranking
2588

Li Shang publication distribution in Electronics and Electrical Engineering in 2026

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.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

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.

Li Shang D-index placement in Electronics and Electrical Engineering in 2026

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.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

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.

Overview

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:

  • CNN-LSTM Hybrid Model to Promote Signal Processing of Ultrasonic Guided Lamb Waves for Damage Detection in Metallic Pipelines, 2023, Sensors
  • Cross-modal Ambiguity Learning for Multimodal Fake News Detection, 2022, Proceedings of the ACM Web Conference 2022
  • Physics-informed surrogate modeling for hydro-fracture geometry prediction based on deep learning, 2022, Energy
  • Rockhead profile simulation using an improved generation method of conditional random field, 2021, Journal of Rock Mechanics and Geotechnical Engineering
  • Collaborative Fault Detection for Large-Scale Photovoltaic Systems, 2020, IEEE Transactions on Sustainable Energy

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.

Best Publications

  • Dynamic voltage scaling with links for power optimization of interconnection networks

    Li Shang;Li-Shiuan Peh;N.K. Jha

  • Dynamic power consumption in Virtex™-II FPGA family

    Li Shang;Alireza S. Kaviani;Kusuma Bathala

  • The next generation of low-cost personal air quality sensors for quantitative exposure monitoring

    R. Piedrahita;Y. Xiang;N. Masson;J. Ortega

  • Accurate temperature-dependent integrated circuit leakage power estimation is easy

    Yongpan Liu;Robert P. Dick;Li Shang;Huazhong Yang

  • Thermal Modeling, Characterization and Management of On-Chip Networks

    Li Shang;Li-Shiuan Peh;Amit Kumar;Niraj K. Jha

  • Three-Dimensional Chip-Multiprocessor Run-Time Thermal Management

    Changyun Zhu;Zhenyu Gu;Li Shang;R.P. Dick

  • ARIEL: automatic wi-fi based room fingerprinting for indoor localization

    Yifei Jiang;Xin Pan;Kun Li;Qin Lv

  • C-Pack: A High-Performance Microprocessor Cache Compression Algorithm

    Xi Chen;Lei Yang;Robert P Dick;Li Shang

  • HybDTM: a coordinated hardware-software approach for dynamic thermal management

    Amit Kumar;Li Shang;Li-Shiuan Peh;Niraj K. Jha

  • ISAC: Integrated Space-and-Time-Adaptive Chip-Package Thermal Analysis

    Yonghong Yang;Zhenyu Gu;Changyun Zhu;R.P. Dick

  • In-Network Cache Coherence

    Noel Eisley;Li-shiuan Peh;Li Shang

  • Power, Thermal, and Reliability Modeling in Nanometer-Scale Microprocessors

    D. Brooks;Robert P. Dick;Russ Joseph;Li Shang

  • Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems

    Yongpan Liu;Huazhong Yang;R.P. Dick;H. Wang

  • Hallway based automatic indoor floorplan construction using room fingerprints

    Yifei Jiang;Yun Xiang;Xin Pan;Kun Li

  • Adaptive analysis methods

    Li Shang;Yonghong Yang;Robert P. Dick

  • MAQS: a personalized mobile sensing system for indoor air quality monitoring

    Yifei Jiang;Kun Li;Lei Tian;Ricardo Piedrahita

  • Multi-optimization power management for chip multiprocessors

    Ke Meng;Russ Joseph;Robert P. Dick;Li Shang

  • Fault Prediction and Diagnosis of Wind Turbine Generators Using SCADA Data

    Yingying Zhao;Dongsheng Li;Ao Dong;Dahai Kang

  • 3D-STAF: scalable temperature and leakage aware floorplanning for three-dimensional integrated circuits

    Pingqiang Zhou;Yuchun Ma;Zhouyuan Li;Robert P. Dick

  • An algorithm for efficient privacy-preserving item-based collaborative filtering

    Dongsheng Li;Chao Chen;Qin Lv;Li Shang

  • ACM Transactions on Design Automation of Electronic Systems (TODAES) special section call for papers: Parallel CAD: Algorithm design and programming

    Kurt Keutzer;Peng Li;Li Shang;Hai Zhou

  • Parallel CAD: Algorithm Design and Programming Special Section Call for Papers TODAES: ACM Transactions on Design Automation of Electronic Systems

    Kurt Keutzer;Peng Li;Li Shang;Hai Zhou

Frequent Co-Authors

Robert P. Dick
Robert P. Dick University of Michigan–Ann Arbor
Qin Lv
Qin Lv University of Colorado Boulder
Niraj K. Jha
Niraj K. Jha Princeton University
Li-Shiuan Peh
Li-Shiuan Peh National University of Singapore
Michael P. Hannigan
Michael P. Hannigan University of Colorado Boulder
Wounjhang Park
Wounjhang Park University of Colorado Boulder
Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Dragan Maksimovic
Dragan Maksimovic University of Colorado Boulder
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
Peng Li
Peng Li University of California, Santa Barbara

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Related Online Degrees & Career Pathways

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.

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