World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
50
Citations
14454
World Ranking
2744
National Ranking
53

Computer Science

D-Index
52
Citations
15798
World Ranking
4981
National Ranking
104

Shih-Chii Liu 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 Shih-Chii Liu 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: 238 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Shih-Chii Liu 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 Shih-Chii Liu 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: 50 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Shih-Chii Liu is affiliated with the University of Zurich in Switzerland and specializes in research at the intersection of engineering and computer science. Their work spans 67 publications in engineering and 57 in computer science, with focused contributions in fields including electrical and electronic engineering, artificial intelligence, cognitive neuroscience, signal processing, and biomedical engineering.

Their research covers a range of topics, predominantly advanced memory and neural computing, ferroelectric and negative capacitance devices, speech and audio processing, neural dynamics and brain function, EEG and brain-computer interfaces, neural networks and reservoir computing, and advanced neural network applications.

Recent publication venues where Liu has contributed include arXiv (Cornell University), Zurich Open Repository and Archive (University of Zurich), Zenodo (CERN European Organization for Nuclear Research), IEEE Journal on Emerging and Selected Topics in Circuits and Systems, and IEEE Journal of Solid-State Circuits.

  • arXiv (Cornell University)
  • Zurich Open Repository and Archive (University of Zurich)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • IEEE Journal of Solid-State Circuits

Frequent coauthors of Liu include Tobi Delbrück, Yuhuang Hu, Ilya Kiselev, Chang Gao, and Kwantae Kim, with collaboration counts ranging from 9 to 20 joint works.

  • Tobi Delbrück
  • Yuhuang Hu
  • Ilya Kiselev
  • Chang Gao
  • Kwantae Kim

Among recent papers, the following are notable for their topics, publication years, and venues:

  • "Embedded Devices for Neuromorphic Time-Series Assessment" (2022), Maryland Shared Open Access Repository (USMAI Consortium)
  • "Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception" (2020), NeuroImage
  • "EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference" (2020), IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "2021 Roadmap on Neuromorphic Computing and Engineering" (2021), arXiv (Cornell University)
  • "Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity" (2022), IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor

    Christian Brändli;Raphael Berner;Minhao Yang;Shih-Chii Liu

  • Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

    Peter U. Diehl;Daniel Neil;Jonathan Binas;Matthew Cook

  • Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification.

    Bodo Rueckauer;Iulia-Alexandra Lungu;Yuhuang Hu;Michael Pfeiffer;Michael Pfeiffer

  • Memory and Information Processing in Neuromorphic Systems

    Giacomo Indiveri;Shih-Chii Liu

  • Real-time classification and sensor fusion with a spiking deep belief network

    Peter O'Connor;Daniel Neil;Shih-Chii Liu;Tobi Delbruck

  • Neuromorphic sensory systems.

    Shih-Chii Liu;Tobi Delbruck

  • Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

    Daniel Neil;Michael Pfeiffer;Shih-Chii Liu

  • CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking

    R. Serrano-Gotarredona;M. Oster;P. Lichtsteiner;A. Linares-Barranco

  • Analog VLSI: Circuits and Principles

    Shih-Chii Liu;Tobias Delbruck;Jorgene Kramer;Giacomo Indiveri

  • v2e: From Video Frames to Realistic DVS Events

    Yuhuang Hu;Shih-Chii Liu;Tobi Delbruck

  • AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface

    V. Chan;Shih-Chii Liu;A. van Schaik

  • NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

    Alessandro Aimar;Hesham Mostafa;Enrico Calabrese;Antonio Rios-Navarro

  • Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

    Daniel Neil;Shih-Chii Liu

  • Event-Based Neuromorphic Systems

    Shih-Chii Liu;Tobi Delbruck;Giacomo Indiveri;Adrian Whatley

  • Conversion of analog to spiking neural networks using sparse temporal coding

    Bodo Rueckauer;Shih-Chii Liu

  • Orientation-selective aVLSI spiking neurons.

    Shih-Chii Liu;Jörg Kramer;Giacomo Indiveri;Tobias Delbrück

  • Orientation-Selective aVLSI Spiking Neurons

    Shih-Chii Liu;Jörg Kramer;Giacomo Indiveri;Tobi Delbrück

  • DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator

    Chang Gao;Daniel Neil;Enea Ceolini;Shih-Chii Liu

  • FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing

    Yi Luo;Cong Han;Nima Mesgarani;Enea Ceolini

  • DDD17: End-To-End DAVIS Driving Dataset

    Jonathan Binas;Daniel Neil;Shih-Chii Liu;Tobi Delbruck

  • FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing

    Yi Luo;Enea Ceolini;Cong Han;Shih-Chii Liu

Frequent Co-Authors

Tobi Delbruck
Tobi Delbruck ETH Zurich
Giacomo Indiveri
Giacomo Indiveri University of Zurich
Michael Pfeiffer
Michael Pfeiffer Bosch Center for Artificial Intelligence
Carver A. Mead
Carver A. Mead California Institute of Technology
Arindam Basu
Arindam Basu City University of Hong Kong
Nima Mesgarani
Nima Mesgarani Columbia University
Teresa Serrano-Gotarredona
Teresa Serrano-Gotarredona University of Seville
Steve Furber
Steve Furber University of Manchester
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville

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