Shih‐Chii Liu

13.1k citations

161 papers · 8.4k indexed · 6 hit papers · h-index 38

Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 49
Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 31
Electrical and Electronic Engineering top 0.5%
- Advanced Memory and Neural Computing 77
- CCD and CMOS Imaging Sensors 35
- Ferroelectric and Negative Capacitance Devices 17
Artificial Intelligence top 0.5%
Signal Processing top 1%
- Speech and Audio Processing 35
- Music and Audio Processing 23
Biomedical Engineering
- Analog and Mixed-Signal Circuit Design 16

Co-authors: Tobi Delbrück Giacomo Indiveri Daniel Neil Michael Pfeiffer Yuhuang Hu Bodo Rueckauer Minhao Yang Christian Brändli
Cited by: Cognitive Neuroscience Cellular and Molecular Neuroscience Electrical and Electronic Engineering
Journals: Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of Neuroscience (1 paper)
Partner nations: Switzerland United States Spain

In The Last Decade

Shih‐Chii Liu

154 papers receiving 8.2k citations

Hit Papers

6 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2021 v2e: From Video Frames to Realistic DVS Events
2017 Frontiers in Neuroscience
2015 Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
2015 Proceedings of the IEEE
2014 IEEE Journal of Solid-State Circuits
2011 Frontiers in Neuroscience

Peers

Countries citing papers authored by Shih‐Chii Liu

Since Specialization

Citations

This map shows the geographic impact of Shih‐Chii Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shih‐Chii Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Chii Liu more than expected).

Fields of papers citing papers by Shih‐Chii Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Chii Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shih‐Chii Liu. The network helps show where Shih‐Chii Liu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shih‐Chii Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shih‐Chii Liu Line = papers co-authored together Shih‐Chii Liu links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Exploiting neuro-inspired dynamic sparsity for energy-efficient intelligent perception Nature Communications ·Sheng Zhou,Chang Gao,Tobi Delbrück,Marian Verhelst,Shih‐Chii Liu	2025	0
2	EFLOP: A Sparsity-Aware Metric for Evaluating Computational Cost in Spiking and Non-Spiking Neural Networks Neuromorphic Computing and Engineering ·Simon Narduzzi,Friedemann Zenke,Shih‐Chii Liu,L. A. Dunbar	2025	0
3	An 8.62-μW 75-dB DR _SoC Fully Integrated SoC for Spoken Language Understanding IEEE Journal of Solid-State Circuits ·Sheng Zhou,Zixiao Li,Longbiao Cheng,Jérôme Hadorn,Chang Gao,Qinyu Chen,Tobi Delbrück,Kwantae Kim,Shih‐Chii Liu	2025	0
4	Real-time control of a hearing instrument with EEG-based attention decoding Journal of Neural Engineering ·Jens Hjortkjær,Daniel D.E. Wong,Alessandro Catania,Jonatan Märcher‐Rørsted,Enea Ceolini,Søren A. Fuglsang,Ilya Kiselev,Giovanni M. Di Liberto,Shih‐Chii Liu,Torsten Dau,Malcolm Slaney,Alain de Cheveigné	2025	4
5	DeltaKWS: A 65nm 36nJ/Decision Bio-Inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC With 0.6V Near-Threshold SRAM Qinyu Chen,Kwantae Kim,Chang Gao,S. Kevin Zhou,Taekwang Jang,Tobi Delbrück,Shih‐Chii Liu	2024	5
6	Bringing Dynamic Sparsity to the Forefront for Low-Power Audio Edge Computing: Brain-inspired approach for sparsifying network updates IEEE Solid-State Circuits Magazine ·Shih‐Chii Liu,Sheng Zhou,Zixiao Li,Chang Gao,Kwantae Kim,Tobi Delbrück	2024	2
7	Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature IEEE Transactions on Biomedical Circuits and Systems ·Shu Wang,Meritxell Rovira,Silvia Demuru,Céline Lafaye,Jaemin Kim,Brince Paul Kunnel,Cyril Besson,César Fernández‐Sánchez,Francisco Serra-Graells,Josep Maria Margarit,Joan Aymerich,Javier Cuenca,Ilya Kiselev,Vincent Grémeaux,Mathieu Saubade,Cecilia Jiménez‐Jorquera,D. Briand,Shih‐Chii Liu	2023	12
8	Continuous-Time Analog Filters for Audio Edge Intelligence: Review on Circuit Designs [Feature] IEEE Circuits and Systems Magazine ·Kwantae Kim,Shih‐Chii Liu	2023	14
9	Spiking Cochlea With System-Level Local Automatic Gain Control IEEE Transactions on Circuits and Systems I Regular Papers ·Ilya Kiselev,Chang Gao,Shih‐Chii Liu	2022	6
10	Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study IEEE Journal of Biomedical and Health Informatics ·Shu Wang,Céline Lafaye,Mathieu Saubade,Cyril Besson,Josep Maria Margarit,Vincent Grémeaux,Shih‐Chii Liu	2022	18
11	Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity IEEE Transactions on Neural Networks and Learning Systems ·Chang Gao,Tobi Delbrück,Shih‐Chii Liu	2022	40
12	T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Shu Wang,Yuhuang Hu,Shih‐Chii Liu	2022	1
13	A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction IEEE Journal of Solid-State Circuits ·Kwantae Kim,Chang Gao,Rui Graca,Ilya Kiselev,Hoi‐Jun Yoo,Tobi Delbrück,Shih‐Chii Liu	2022	22
14	EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Chang Gao,Antonio Ríos-Navarro,Xi Chen,Shih‐Chii Liu,Tobi Delbrück	2020	35
15	Siamese Networks for Few-Shot Learning on Edge Embedded Devices IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Iulia Alexandra Lungu,Alessandro Aimar,Yuhuang Hu,Tobi Delbrück,Shih‐Chii Liu	2020	15
16	Incremental Learning of Hand Symbols Using Event-Based Cameras IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Iulia Alexandra Lungu,Shih‐Chii Liu,Tobi Delbrück	2019	9
17	Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms IEEE Signal Processing Magazine ·Shih‐Chii Liu,Bodo Rueckauer,Enea Ceolini,Adrian Huber,Tobi Delbrück	2019	51
18	Filtering of Nonuniformly Sampled Bandlimited Functions IEEE Signal Processing Letters ·Adrian Huber,Shih‐Chii Liu	2019	2
19	An event-driven probabilistic model of sound source localization using cochlea spikes Zurich Open Repository and Archive (University of Zurich) ·Jithendar Anumula,Enea Ceolini,Zhe He,Adrian Huber,Shih‐Chii Liu	2018	13
20	Adaptive Retina with Center-Surround Receptive Field CaltechAUTHORS (California Institute of Technology) ·Shih‐Chii Liu,Kwabena Boahen	1995	8

About Shih‐Chii Liu

Shih‐Chii Liu is a scholar working on Signal Processing, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 161 papers that have together received 8.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (77 papers), Neural dynamics and brain function (49 papers), Speech and Audio Processing (35 papers), CCD and CMOS Imaging Sensors (35 papers), Neuroscience and Neural Engineering (31 papers), Music and Audio Processing (23 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Analog and Mixed-Signal Circuit Design (16 papers). The work is most often cited by research in Cognitive Neuroscience (3.6k citations), Cellular and Molecular Neuroscience (2.2k citations) and Electrical and Electronic Engineering (6.4k citations). Shih‐Chii Liu has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Tobi Delbrück, Giacomo Indiveri, Daniel Neil, Michael Pfeiffer, Yuhuang Hu, Bodo Rueckauer, Minhao Yang, Christian Brändli, André van Schaik and Raphael Berner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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