ACM Journal on Emerging Technologies in Computing Systems

Papers
(The TQCC of ACM Journal on Emerging Technologies in Computing Systems is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Introduction to the Special Issue on Hardware-Assisted Security for Emerging Internet of Things65
Breaking On-Chip Communication Anonymity Using Flow Correlation Attacks60
STAP: An Architecture and Design Tool for Automata Processing on Memristor TCAMs40
A Reconfigurable Multiplier for Signed Multiplications with Asymmetric Bit-Widths34
EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures32
Defending against Adversarial Attacks in Deep Learning with Robust Auxiliary Classifiers Utilizing Bit-plane Slicing28
Test Points for Online Monitoring of Quantum Circuits22
STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators21
Sorting in Memristive Memory20
Software-driven Security Attacks: From Vulnerability Sources to Durable Hardware Defenses19
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays19
A Cost-Effective Built-In Self-Test Mechanism for Post-Manufacturing TSV Defects in 3D ICs19
A Survey Describing Beyond Si Transistors and Exploring Their Implications for Future Processors19
ANT-UNet: Accurate and Noise-Tolerant Segmentation for Pathology Image Processing18
All-spin PUF: An Area-efficient and Reliable PUF Design with Signature Improvement for Spin-transfer Torque Magnetic Cell-based All-spin Circuits18
The Bitlet Model: A Parameterized Analytical Model to Compare PIM and CPU Systems17
A Survey on Silicon Photonics for Deep Learning17
NORM: An FPGA-based Non-volatile Memory Emulation Framework for Intermittent Computing16
OpenQL: A Portable Quantum Programming Framework for Quantum Accelerators16
SkyBridge 2.0: A Fine-grained Vertical 3D-IC Technology for Future ICs14
Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning—Part 214
DINOS: Data INspired Oligo Synthesis for DNA Data Storage13
Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System13
Secure and Lightweight Authentication Protocol Using PUF for the IoT-based Wireless Sensor Network13
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-1912
Introduction to the Special Issue on Monolithic 3D: Technology, Design and Computing Systems Applications Perspectives12
Hardware Trust and Assurance through Reverse Engineering: A Tutorial and Outlook from Image Analysis and Machine Learning Perspectives11
Characterization of Timing-based Software Side-channel Attacks and Mitigations on Network-on-Chip Hardware11
A Fast Object Detection-Based Framework for Via Modeling on PCB X-Ray CT Images10
Image Complexity Guided Network Compression for Biomedical Image Segmentation10
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products10
Diverse, Neural Trojan Resilient Ecosystem of Neural Network IP10
Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement10
Integrated Power Signature Generation Circuit for IoT Abnormality Detection10
Enhancing Privacy in PUF-Cash through Multiple Trusted Third Parties and Reinforcement Learning9
Accelerating On-Chip Training with Ferroelectric-Based Hybrid Precision Synapse9
A Neoteric Approach for Logic with Embedded Memory Leveraging Crosstalk Computing9
Virtualizing Existing Fluidic Programs9
Analyzing Security Vulnerabilities Induced by High-level Synthesis9
NN-Lock : A Lightweight Authorization to Prevent IP Threats of Deep Learning Models8
SRLL: Improving Security and Reliability with User-Defined Constraint-Aware Logic Locking8
Low-overhead Hardware Supervision for Securing an IoT Bluetooth-enabled Device: Monitoring Radio Frequency and Supply Voltage8
B-open Defect: A Novel Defect Model in FinFET Technology8
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