Hsinyu Tsai

4.0k citations

89 papers · 2.8k indexed · 1 hit paper · h-index 26

Electrical and Electronic Engineering top 2%
Materials Chemistry top 5%
Artificial Intelligence top 5%
Cellular and Molecular Neuroscience top 5%
Biomedical Engineering top 10%

Co-authors: Pritish Narayanan Geoffrey W. Burr Stefano Ambrogio R. M. Shelby Ru‐Shi Liu Zhen Bao An‐Cih Tang Hung‐Chia Wang
Topics: Ferroelectric and Negative Capacitance Devices (36 papers)Advanced Memory and Neural Computing (35 papers)Advancements in Photolithography Techniques (14 papers)
Cited by: Electrical and Electronic Engineering Materials Chemistry Cellular and Molecular Neuroscience
Journals: Nature Angewandte Chemie International Edition Nature Communications
Partner nations: United States Taiwan Japan

In The Last Decade

Hsinyu Tsai

84 papers receiving 2.7k citations

Hit Papers

align trajectories

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.

Equivalent-accuracy accelerated neural-network training using analogue memory

2018 770 citations Stefano Ambrogio, Pritish Narayanan et al. profile →

Peers

Countries citing papers authored by Hsinyu Tsai

Since Specialization

Citations

This map shows the geographic impact of Hsinyu Tsai'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 Hsinyu Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsinyu Tsai more than expected).

Fields of papers citing papers by Hsinyu Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsinyu Tsai. 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 Hsinyu Tsai. The network helps show where Hsinyu Tsai may publish in the future.

Co-authorship network of co-authors of Hsinyu Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Hsinyu Tsai. A scholar is included among the top collaborators of Hsinyu Tsai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hsinyu Tsai. Hsinyu Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip 2025 ·Nature Communications ·(unknown),Stefano Ambrogio,Pritish Narayanan,(unknown),Charles Mackin,Andrea Fasoli,Malte J. Rasch,Alexander Friz,(unknown),Takeo Yasuda,Masatoshi Ishii,(unknown),Kohji Hosokawa,(unknown),Seiji Munetoh,Vijay Narayanan,Hsinyu Tsai,Geoffrey W. Burr	1
2	Progress and challenges of phase change memory for in-memory computing 2025 ·Current Opinion in Solid State and Materials Science ·(unknown),(unknown),(unknown),Hsinyu Tsai,Ning Li	0
3	CiMBA: Accelerating Genome Sequencing Through On-Device Basecalling via Compute-in-Memory 2025 ·IEEE Transactions on Parallel and Distributed Systems ·William Simon,Irem Boybat,(unknown),(unknown),Gagandeep Singh,Mohammed Alser,Shubham Jain,Hsinyu Tsai,Geoffrey W. Burr,Onur Mutlu,Abu Sebastian	1
4	Efficient scaling of large language models with mixture of experts and 3D analog in-memory computing 2025 ·Nature Computational Science ·Julian Büchel,(unknown),William Simon,Irem Boybat,Hsinyu Tsai,Geoffrey W. Burr,Hernan Castro,(unknown),Manuel Le Gallo,Abbas Rahimi,Vijay Narayanan,Abu Sebastian	3
5	Redox-induced engineering of amorphous/crystalline MnFeOx catalyst enables H2O/SO2-tolerant NOx abatement at ultra-low temperatures 2025 ·Journal of Hazardous Materials ·Liang-Yi Lin,(unknown),Hsinyu Tsai	4
6	Preventing ICU ‐Acquired Weakness With Early Rehabilitation: An Umbrella Review of Systematic Reviews and Meta‐Analysis 2025 ·Nursing in Critical Care ·(unknown),Huan‐Fang Lee,(unknown),Zhi Peng,Hsinyu Tsai,(unknown)	0
7	Chemical mechanical planarization of nanotwinned copper/polyimide for low temperature hybrid bonding 2024 ·Journal of Electroanalytical Chemistry ·(unknown),(unknown),Kai-Cheng Shie,(unknown),Hsinyu Tsai,Dinh-Phuc Tran,Chih Chen	6
8	(Invited) Emerging Nonvolatile Memories for Analog Neuromorphic Computing 2024 ·ECS Meeting Abstracts ·An Chen,Stefano Ambrogio,Pritish Narayanan,(unknown),Hsinyu Tsai,Kohji Hosokawa,Charles Mackin,Akiyo Nomura,Alexander Friz,Andrea Fasoli,(unknown),Geoffrey W. Burr	1
9	Impact of analog memory device failure on in-memory computing inference accuracy 2023 ·SHILAP Revista de lepidopterología ·Ning Li,Hsinyu Tsai,Vijay Narayanan,Malte J. Rasch	3
10	Using the IBM analog in-memory hardware acceleration kit for neural network training and inference 2023 ·SHILAP Revista de lepidopterología ·Manuel Le Gallo,Corey Lammie,Julian Büchel,Fabio Carta,(unknown),Charles Mackin,Hsinyu Tsai,Vijay Narayanan,Abu Sebastian,Kaoutar El Maghraoui,Malte J. Rasch	27
11	Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators 2023 ·Nature Communications ·Malte J. Rasch,Charles Mackin,Manuel Le Gallo,(unknown),Andrea Fasoli,(unknown),Ning Li,S. R. Nandakumar,Pritish Narayanan,Hsinyu Tsai,Geoffrey W. Burr,Abu Sebastian,Vijay Narayanan	77
12	A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh 2022 ·IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Shubham Jain,Hsinyu Tsai,(unknown),R. Muralidhar,Irem Boybat,Martin M. Frank,Stanisław Woźniak,Miloš Stanisavljević,Praneet Adusumilli,Pritish Narayanan,Kohji Hosokawa,Masatoshi Ishii,(unknown),Vijay Narayanan,Geoffrey W. Burr	28
13	Optimised weight programming for analogue memory-based deep neural networks 2022 ·Nature Communications ·Charles Mackin,Malte J. Rasch,An Chen,(unknown),Robert L. Bruce,Ning Li,Pritish Narayanan,Stefano Ambrogio,Manuel Le Gallo,S. R. Nandakumar,Andrea Fasoli,(unknown),Alexander Friz,Abu Sebastian,Hsinyu Tsai,Geoffrey W. Burr	34
14	Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke 2022 ·Medical & Biological Engineering & Computing ·(unknown),Yudan Wu,(unknown),(unknown),Hsinyu Tsai,Jung-Chih Chen	10
15	Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices 2021 ·Frontiers in Computational Neuroscience ·(unknown),Hsinyu Tsai,An Chen,Malte J. Rasch,Stefano Ambrogio,Charles Mackin,Andrea Fasoli,Alexander Friz,Pritish Narayanan,Miloš Stanisavljević,Geoffrey W. Burr	16
16	Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges 2020 ·Charles Mackin,Pritish Narayanan,Stefano Ambrogio,Hsinyu Tsai,(unknown),Andrea Fasoli,An Chen,Alexander Friz,R. M. Shelby,Geoffrey W. Burr	4
17	Accelerating Deep Neural Networks with Analog Memory Devices 2019 ·Bulletin of the American Physical Society ·Charles Mackin,Pritish Narayanan,Hsinyu Tsai,Stefano Ambrogio,(unknown),Geoffrey W. Burr	1
18	Capacitor-based Cross-point Array for Analog Neural Network with Record Symmetry and Linearity 2018 ·(unknown),Seyoung Kim,Xiaoyu Sun,P. M. Solomon,Tayfun Gokmen,Hsinyu Tsai,Siyuranga O. Koswatta,Zhibin Ren,R. Mo,Chun-Chen Yeh,Wilfried Haensch,E. Leobandung	33
19	Large-scale plasmonic microarrays for label-free high-throughput screening 2011 ·Lab on a Chip ·Tsung-Yao Chang,Min Huang,Ahmet Ali Yanik,Hsinyu Tsai,Peng Shi,Serap Aksu,Mehmet Fatih Yanik,Hatice Altug	87
20	Venom phospholipases of Russell's vipers from Myanmar and eastern India—Cloning, characterization and phylogeographic analysis 2007 ·Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics ·Inn‐Ho Tsai,Hsinyu Tsai,Yingming Wang,Tun-Pe,David A. Warrell	31

About Hsinyu Tsai

Hsinyu Tsai is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence, having authored 89 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (36 papers), Advanced Memory and Neural Computing (35 papers) and Advancements in Photolithography Techniques (14 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.2k citations), Materials Chemistry (1.0k citations) and Cellular and Molecular Neuroscience (333 citations). Hsinyu Tsai has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Pritish Narayanan, Geoffrey W. Burr, Stefano Ambrogio, R. M. Shelby, Ru‐Shi Liu, Zhen Bao, An‐Cih Tang, Hung‐Chia Wang, Massimo Giordano and Irem Boybat. Their work appears in journals such as Nature, Angewandte Chemie International Edition and Nature Communications.

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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