World's Best Scientists 2026 revealed!
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Shih-Chii Liu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 50 2744 2629 53 52 238 14454
Computer Science 52 4981 4844 104 104 245 15798

Shih-Chii Liu publications per year

The chart shows the history of publications by Shih-Chii Liu between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Shih-Chii Liu published across 37 years, from 1989 to 2025, averaging 8.1 papers a year. Output peaked at 26 publications in 2019. 26 of the 300 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 26. Peak 26 publications in 2019. 1989: 1 publication 1990: 1 publication 1991: 2 publications 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 1 publication 1997: 2 publications 1998: 0 publications 1999: 1 publication 2000: 3 publications 2001: 5 publications 2002: 18 publications 2003: 4 publications 2004: 4 publications 2005: 6 publications 2006: 5 publications 2007: 5 publications 2008: 7 publications 2009: 6 publications 2010: 10 publications 2011: 8 publications 2012: 4 publications 2013: 6 publications 2014: 20 publications 2015: 20 publications 2016: 16 publications 2017: 13 publications 2018: 15 publications 2019: 26 publications 2020: 14 publications 2021: 15 publications 2022: 22 publications 2023: 12 publications 2024: 12 publications 2025: 14 publications
1989 2025

300 publications in total across all disciplines

View publications per year as a table
Shih-Chii Liu: publications per year, 1989 to 2025
Year Publications
1989 1
1990 1
1991 2
1992 1
1993 0
1994 0
1995 1
1996 1
1997 2
1998 0
1999 1
2000 3
2001 5
2002 18
2003 4
2004 4
2005 6
2006 5
2007 5
2008 7
2009 6
2010 10
2011 8
2012 4
2013 6
2014 20
2015 20
2016 16
2017 13
2018 15
2019 26
2020 14
2021 15
2022 22
2023 12
2024 12
2025 14
Total 300
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 234–253 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
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
194–213 430
214–233 431
234–253 399 238
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
Download as CSV

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 50 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
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
47 160
48 134
49 130
50 141 50
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
Download as CSV

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
Rodney J. Douglas
Rodney J. Douglas 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

External Links

Personal website of Shih-Chii Liu Google Scholar page

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Best Scientists Citing Shih-Chii Liu

Giacomo Indiveri

Giacomo Indiveri

University of Zurich

Publications: 133

Bernabé Linares-Barranco

Bernabé Linares-Barranco

University of Seville

Publications: 63

Teresa Serrano-Gotarredona

Teresa Serrano-Gotarredona

University of Seville

Publications: 54

Tobi Delbruck

Tobi Delbruck

ETH Zurich

Publications: 51

Davide Scaramuzza

Davide Scaramuzza

University of Zurich

Publications: 49

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 49

Arindam Basu

Arindam Basu

City University of Hong Kong

Publications: 48

Gert Cauwenberghs

Gert Cauwenberghs

University of California, San Diego

Publications: 45

Nikola Kasabov

Nikola Kasabov

Auckland University of Technology

Publications: 37

André van Schaik

André van Schaik

Western Sydney University

Publications: 36

Steve Furber

Steve Furber

University of Manchester

Publications: 32

Ryad Benosman

Ryad Benosman

University of Pittsburgh

Publications: 32

Rodney J. Douglas

Rodney J. Douglas

ETH Zurich

Publications: 25

Guoqi Li

Guoqi Li

Shanghai Jiao Tong University

Publications: 23

Haizhou Li

Haizhou Li

Chinese University of Hong Kong, Shenzhen

Publications: 21

Ralph Etienne-Cummings

Ralph Etienne-Cummings

Johns Hopkins University

Publications: 21

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