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Electronics and Electrical Engineering
Taiwan
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
69
Citations
14734
World Ranking
979
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Taiwan Leader Award

Overview

Meng-Fan Chang is affiliated with National Tsing Hua University in Taiwan. Their research primarily focuses on engineering, with a strong emphasis on electrical and electronic engineering. The scope of their work covers several specialized subfields, including hardware and architecture, artificial intelligence, cellular and molecular neuroscience, and computer vision and pattern recognition.

The scientist's research topics encompass advanced memory and neural computing, ferroelectric and negative capacitance devices, semiconductor materials and devices, neuroscience and neural engineering, CCD and CMOS imaging sensors, advanced neural network applications, and parallel computing and optimization techniques.

Meng-Fan Chang has contributed to multiple significant publications. Notable papers include:

  • "Neuro-inspired computing chips" (2020, Nature Electronics)
  • "Memristive technologies for data storage, computation, encryption, and radio-frequency communication" (2022, Science)
  • "Hardware implementation of memristor-based artificial neural networks" (2024, Nature Communications)
  • "Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices" (2021, IEEE Transactions on Circuits and Systems I Regular Papers)
  • "In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective" (2020, Proceedings of the IEEE)

The scientist frequently collaborates with a network of coauthors including Kea-Tiong Tang, Win-San Khwa, Chung-Chuan Lo, Chih-Cheng Hsieh, and Ren-Shuo Liu.

Meng-Fan Chang's work appears predominantly in venues such as the IEEE Journal of Solid-State Circuits, the IEEE International Solid-State Circuits Conference (ISSCC), Nature Electronics, the IEEE International Electron Devices Meeting (IEDM), and IEEE Transactions on Electron Devices. Specifically, they have published extensively with 30 papers in the IEEE Journal of Solid-State Circuits and 8 at the 2022 IEEE ISSCC.

Best Publications

  • Neuro-inspired computing chips

    Wenqiang Zhang;Bin Gao;Jianshi Tang;Peng Yao

  • Small-Subthreshold-Swing and Low-Voltage Flexible Organic Thin-Film Transistors Which Use HfLaO as the Gate Dielectric

    M.F. Chang;P.T. Lee;S.P. McAlister;A. Chin

  • A 4Mb embedded SLC resistive-RAM macro with 7.2ns read-write random-access time and 160ns MLC-access capability

    Shyh-Shyuan Sheu;Meng-Fan Chang;Ku-Feng Lin;Che-Wei Wu

  • A 65nm 1Mb nonvolatile computing-in-memory ReRAM macro with sub-16ns multiply-and-accumulate for binary DNN AI edge processors

    Wei-Hao Chen;Kai-Xiang Li;Wei-Yu Lin;Kuo-Hsiang Hsu

  • 24.1 A 1Mb Multibit ReRAM Computing-In-Memory Macro with 14.6ns Parallel MAC Computing Time for CNN Based AI Edge Processors

    Cheng-Xin Xue;Wei-Hao Chen;Je-Syu Liu;Jia-Fang Li

  • An 89TOPS/W and 16.3TOPS/mm 2 All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications

    Yu-Der Chih;Po-Hao Lee;Hidehiro Fujiwara;Yi-Chun Shih

  • 33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing

    Qi Liu;Bin Gao;Peng Yao;Dong Wu

  • A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors

    Win-San Khwa;Jia-Jing Chen;Jia-Fang Li;Xin Si

  • 24.5 A Twin-8T SRAM Computation-In-Memory Macro for Multiple-Bit CNN-Based Machine Learning

    Xin Si;Jia-Jing Chen;Yung-Ning Tu;Wei-Hsing Huang

  • CMOS-integrated memristive non-volatile computing-in-memory for AI edge processors

    Wei-Hao Chen;Chunmeng Dou;Kai-Xiang Li;Wei-Yu Lin

  • Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices

    Chuan-Jia Jhang;Cheng-Xin Xue;Je-Min Hung;Fu-Chun Chang

  • 15.4 A 22nm 2Mb ReRAM Compute-in-Memory Macro with 121-28TOPS/W for Multibit MAC Computing for Tiny AI Edge Devices

    Cheng-Xin Xue;Tsung-Yuan Huang;Je-Syu Liu;Ting-Wei Chang

  • A Twin-8T SRAM Computation-in-Memory Unit-Macro for Multibit CNN-Based AI Edge Processors

    Xin Si;Rui Liu;Shimeng Yu;Ren-Shuo Liu

  • Low Store Energy, Low VDDmin, 8T2R Nonvolatile Latch and SRAM With Vertical-Stacked Resistive Memory (Memristor) Devices for Low Power Mobile Applications

    Pi-Feng Chiu;Meng-Fan Chang;Che-Wei Wu;Ching-Hao Chuang

  • 15.5 A 28nm 64Kb 6T SRAM Computing-in-Memory Macro with 8b MAC Operation for AI Edge Chips

    Xin Si;Yung-Ning Tu;Wei-Hsing Huanq;Jian-Wei Su

  • In-memory Learning with Analog Resistive Switching Memory: A Review and Perspective

    Yue Xi;Bin Gao;Jianshi Tang;An Chen

  • 16.3 A 28nm 384kb 6T-SRAM Computation-in-Memory Macro with 8b Precision for AI Edge Chips

    Jian-Wei Su;Yen-Chi Chou;Ruhui Liu;Ta-Wei Liu

  • A 130 mV SRAM With Expanded Write and Read Margins for Subthreshold Applications

    Meng-Fan Chang;Shi-Wei Chang;Po-Wei Chou;Wei-Cheng Wu

  • A 22nm 4Mb 8b-Precision ReRAM Computing-in-Memory Macro with 11.91 to 195.7TOPS/W for Tiny AI Edge Devices

    Cheng-Xin Xue;Je-Min Hung;Hui-Yao Kao;Yen-Hsiang Huang

  • 19.4 embedded 1Mb ReRAM in 28nm CMOS with 0.27-to-1V read using swing-sample-and-couple sense amplifier and self-boost-write-termination scheme

    Meng-Fan Chang;Jui-Jen Wu;Tun-Fei Chien;Yen-Chen Liu

  • 15.2 A 28nm 64Kb Inference-Training Two-Way Transpose Multibit 6T SRAM Compute-in-Memory Macro for AI Edge Chips

    Jian-Wei Su;Xin Si;Yen-Chi Chou;Ting-Wei Chang

  • Ambient energy harvesting nonvolatile processors: from circuit to system

    Yongpan Liu;Zewei Li;Hehe Li;Yiqun Wang

  • Fast-Write Resistive RAM (RRAM) for Embedded Applications

    Shyh-Shyuan Sheu;Kuo-Hsing Cheng;Meng-Fan Chang;Pei-Chia Chiang

Frequent Co-Authors

Kea-Tiong Tang
Kea-Tiong Tang National Tsing Hua University
Chih-Cheng Hsieh
Chih-Cheng Hsieh National Tsing Hua University
Ya-Chin King
Ya-Chin King National Tsing Hua University
Yongpan Liu
Yongpan Liu Tsinghua University
Huazhong Yang
Huazhong Yang Tsinghua University
Frederick T. Chen
Frederick T. Chen ITRI International
Ming-Jinn Tsai
Ming-Jinn Tsai Industrial Technology Research Institute
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Sumeet Kumar Gupta
Sumeet Kumar Gupta Purdue University West Lafayette
Huaqiang Wu
Huaqiang Wu Tsinghua University

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