IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Papers
(The TQCC of IEEE Journal on Emerging and Selected Topics in Circuits and Systems is 7. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Automated Pest Detection With DNN on the Edge for Precision Agriculture66
Design of Nonlinear Droop Control in DC Microgrid for Desired Voltage Regulation and Current Sharing Accuracy50
Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance48
Optimal Allocation and Sizing of Synchronous Condensers in Weak Grids With Increased Penetration of Wind and Solar Farms48
Time-Sharing Frequency Coordinated Control Strategy for PMSG-Based Wind Turbine48
Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators42
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays42
Frequency Trajectory Planning Based Strategy for Improving Frequency Stability of Droop-Controlled Inverter Based Standalone Power Systems40
Distributed Sliding Mode Observer-Based Secondary Control for DC Microgrids Under Cyber-Attacks39
Performance Comparison of Typical Frequency Response Strategies for Power Systems With High Penetration of Renewable Energy Sources38
Event-Triggered Distributed Consensus Tracking for Nonlinear Multi-Agent Systems: A Minimal Approximation Approach37
Coordinated VSG Control of Photovoltaic/Battery System for Maximum Power Output and Grid Supporting33
Online Few-Shot Gesture Learning on a Neuromorphic Processor33
Impacts of Phase-Locked Loop Dynamic on the Stability of DC-Link Voltage Control in Voltage Source Converter Integrated to Weak Grid32
Maximum Virtual Inertia From DC-Link Capacitors Considering System Stability at Voltage Control Timescale32
Impedance-Based Analysis of Control Interactions in Weak-Grid-Tied PMSG Wind Turbines31
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning30
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference30
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference30
Quantum PUF for Security and Trust in Quantum Computing30
Deception Attack Detection of Isolated DC Microgrids Under Consensus- Based Distributed Voltage Control Architecture29
STT-BNN: A Novel STT-MRAM In-Memory Computing Macro for Binary Neural Networks29
Machine-Learning-Based Microwave Sensing: A Case Study for the Food Industry28
A Directional Gamma-Ray Spectrometer With Microcontroller-Embedded Machine Learning28
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs26
Effects of High Level of Penetration of Renewable Energy Sources on Cascading Failure of Modern Power Systems26
EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System25
A Cascaded Controller for a Grid-Tied Photovoltaic System With Three-Phase Half-Bridge Interleaved Buck Shunt Active Power Filter: Hybrid Control Strategy and Fuzzy Logic Approach25
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks24
Multi-State Memristors and Their Applications: An Overview23
Dynamic Inertia Evaluation for type-3 Wind Turbines Based on Inertia Function22
Preventing DNN Model IP Theft via Hardware Obfuscation22
Introducing Recurrence in Strong PUFs for Enhanced Machine Learning Attack Resistance22
AM4: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing22
Assessing the Robustness of Cyber-Physical Power Systems by Considering Wide-Area Protection Functions19
Reconfigurable Smart In-Memory Computing Platform Supporting Logic and Binarized Neural Networks for Low-Power Edge Devices19
High-Frequency Stability Analysis and Impedance Optimization for an MMC-HVDC Integrated System Considering Delay Effects19
Undersea Wireless Power and Data Transfer System With Shared Channel Powered by Marine Renewable Energy System19
Data-Driven Distributed Online Learning Control for Islanded Microgrids19
Closed-Loop Spiking Control on a Neuromorphic Processor Implemented on the iCub19
Equivalence Checking of Quantum Circuits With the ZX-Calculus18
A Novel Node Flexibility Evaluation Method of Active Distribution Network for SNOP Integration18
On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks18
A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN18
Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs18
Machine Learning Based Multi-Agent System for Detecting and Neutralizing Unseen Cyber-Attacks in AGC and HVDC Systems17
Novel Low-Complexity Polynomial Multiplication Over Hybrid Fields for Efficient Implementation of Binary Ring-LWE Post-Quantum Cryptography17
A Reconfigurable 16Kb AND8T SRAM Macro With Improved Linearity for Multibit Compute-In Memory of Artificial Intelligence Edge Devices17
Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures17
Robust LFC of Power Systems With Wind Power Under Packet Losses and Communication Delays16
Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays16
Small-Signal Stability Analysis Method for Hybrid AC–DC Systems With Multiple DC Buses16
Nonlinear Modeling of Multi-Converter Systems Within DC-Link Timescale16
Modeling Attack Resistant PUFs Based on Adversarial Attack Against Machine Learning15
Dual-Hiding Side-Channel-Attack Resistant FPGA-Based Asynchronous-Logic AES: Design, Countermeasures and Evaluation15
Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications15
Enhancing Transient Stability of PLL-Synchronized Converters by Introducing Voltage Normalization Control15
Fast and Compact Serial IMPLY-Based Approximate Full Adders Applied in Image Processing15
Impedance Modeling and Stability Analysis of DFIG Wind Farm With LCC-HVDC Transmission14
An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations14
Near-Sensor Distributed DNN Processing for Augmented and Virtual Reality14
Transformerless Three-Level Flying-Capacitor Step-Up PV Micro-Inverter Without Electrolytic Capacitors14
Stability Improvement of Pulse Power Supply With Dual-Inductance Active Storage Unit Using Hysteresis Current Control13
Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement-Based Spiking Central Pattern Generation13
Siamese Networks for Few-Shot Learning on Edge Embedded Devices13
Advanced Design Methods From Materials and Devices to Circuits for Brain-Inspired Oscillatory Neural Networks for Edge Computing12
How to Feed a Growing Population—An IoT Approach to Crop Health and Growth12
SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation11
Sniffer: A Machine Learning Approach for DoS Attack Localization in NoC-Based SoCs11
Stochastic Computing Design and Implementation of a Sound Source Localization System11
Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs11
A Versatile, Stand-Alone, In-Field Sensor Node for Implementation in Precision Agriculture10
A 16 nJ/Classification FPGA-Based Wired-Logic DNN Accelerator Using Fixed-Weight Non-Linear Neural Net10
Edge of Chaos Explains Prigogine’s Instability of the Homogeneous10
Adaptive Security Control Against False Data Injection Attacks in Cyber-Physical Systems9
A Compute-in-Memory Hardware Accelerator Design With Back-End-of-Line (BEOL) Transistor Based Reconfigurable Interconnect9
A New Kalman-Filter-Based Harmonic Current Suppression Method for the Virtual Oscillator Controlled Grid-Tied Inverter9
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks9
AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration9
A Current-Limiting Scheme for Voltage-Controlled Inverter Using Instantaneous Current to Generate Virtual Impedance9
Toward Real-Time, At-Home Patient Health Monitoring Using Reservoir Computing CMOS IC9
Two Sides of the Same Coin: Boons and Banes of Machine Learning in Hardware Security9
A Novel Power and Signal Composite Modulation Strategy for CCC-Based SRG in Distributed Microgrid9
Impedance Modeling and Stability Analysis of All-DC Delivered Offshore Wind Farm9
Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing9
Deep-Learning Based Power System Events Detection Technology Using Spatio-Temporal and Frequency Information9
LoRaWAN ESL for Food Retail and Logistics8
An Energy-Efficient Compressed Sensing-Based Encryption Scheme for Wireless Neural Recording8
Multi-Objective Optimization for DC Microgrid Using Combination of NSGA-II Algorithm and Linear Search Method8
Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture8
Deep Neural Oracle With Support Identification in the Compressed Domain8
Gershgorin-Circle Based Low-Complexity Generalized Nyquist Stability Criterion for DFIG Driven Wind Turbines8
Memristor-Based Light-Weight Transformer Circuit Implementation for Speech Recognizing8
Digital Multiplier-Less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task8
An Analogue In-Memory Ridge Regression Circuit With Application to Massive MIMO Acceleration8
Resilient Power Converter: A Grid-Connected Converter With Disturbance/Attack Resiliency via Multi-Timescale Current Limiting Scheme8
Rich-Club Impact on Cascading Failures in Interdependent Power and Communication Networks8
Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks8
Recent Progress and Development of Hyperdimensional Computing (HDC) for Edge Intelligence8
Parasitic-Aware Modeling and Neural Network Training Scheme for Energy-Efficient Processing-in-Memory With Resistive Crossbar Array8
Resilience-Oriented Dynamic Distribution Network With Considering Recovery Ability of Distributed Resources8
PIM-DRAM: Accelerating Machine Learning Workloads Using Processing in Commodity DRAM8
Enabling Micro AI for Securing Edge Devices at Hardware Level7
Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design7
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks7
Enabling In-Memory Computations in Non-Volatile SRAM Designs7
Proof-Carrying Hardware-Based Information Flow Tracking in Analog/Mixed-Signal Designs7
Stuck-at-Fault Immunity Enhancement of Memristor-Based Edge AI Systems7
Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks7
Binarization Methods for Motor-Imagery Brain–Computer Interface Classification7
Adaptive Deep-Learning-Based Steady-State Modeling and Fast Control Strategy for CLLC DC-DC Converter in Highly Renewable Penetrated System7
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