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 6. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations79
Automated Pest Detection With DNN on the Edge for Precision Agriculture56
Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems53
An Overview of Efficient Interconnection Networks for Deep Neural Network Accelerators47
Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance42
Design of Nonlinear Droop Control in DC Microgrid for Desired Voltage Regulation and Current Sharing Accuracy40
Optimal Allocation and Sizing of Synchronous Condensers in Weak Grids With Increased Penetration of Wind and Solar Farms39
Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators39
Time-Sharing Frequency Coordinated Control Strategy for PMSG-Based Wind Turbine38
Dethroning GPS: Low-Power Accurate 5G Positioning Systems Using Machine Learning36
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays34
Frequency Trajectory Planning Based Strategy for Improving Frequency Stability of Droop-Controlled Inverter Based Standalone Power Systems34
Distributed Sliding Mode Observer-Based Secondary Control for DC Microgrids Under Cyber-Attacks34
Event-Triggered Distributed Consensus Tracking for Nonlinear Multi-Agent Systems: A Minimal Approximation Approach32
SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile Devices32
Performance Comparison of Typical Frequency Response Strategies for Power Systems With High Penetration of Renewable Energy Sources31
Online Few-Shot Gesture Learning on a Neuromorphic Processor30
Hardware Implementation of Neural Self-Interference Cancellation29
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference28
STT-BNN: A Novel STT-MRAM In-Memory Computing Macro for Binary Neural Networks27
Deception Attack Detection of Isolated DC Microgrids Under Consensus- Based Distributed Voltage Control Architecture27
Impedance-Based Analysis of Control Interactions in Weak-Grid-Tied PMSG Wind Turbines27
Quantum PUF for Security and Trust in Quantum Computing26
Deep Learning-Aided Belief Propagation Decoder for Polar Codes26
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning25
A Directional Gamma-Ray Spectrometer With Microcontroller-Embedded Machine Learning25
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs25
Coordinated VSG Control of Photovoltaic/Battery System for Maximum Power Output and Grid Supporting24
Maximum Virtual Inertia From DC-Link Capacitors Considering System Stability at Voltage Control Timescale24
EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System23
Machine-Learning-Based Microwave Sensing: A Case Study for the Food Industry23
Optimizing Temporal Convolutional Network Inference on FPGA-Based Accelerators23
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference22
Impacts of Phase-Locked Loop Dynamic on the Stability of DC-Link Voltage Control in Voltage Source Converter Integrated to Weak Grid22
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs22
Introducing Recurrence in Strong PUFs for Enhanced Machine Learning Attack Resistance20
Dynamic Inertia Evaluation for type-3 Wind Turbines Based on Inertia Function19
AM4: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing18
Preventing DNN Model IP Theft via Hardware Obfuscation18
Effects of High Level of Penetration of Renewable Energy Sources on Cascading Failure of Modern Power Systems18
Undersea Wireless Power and Data Transfer System With Shared Channel Powered by Marine Renewable Energy System18
High-Frequency Stability Analysis and Impedance Optimization for an MMC-HVDC Integrated System Considering Delay Effects18
Reconfigurable Smart In-Memory Computing Platform Supporting Logic and Binarized Neural Networks for Low-Power Edge Devices18
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks17
Closed-Loop Spiking Control on a Neuromorphic Processor Implemented on the iCub17
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 Approach17
On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks17
A Novel Node Flexibility Evaluation Method of Active Distribution Network for SNOP Integration17
CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays17
Design of a Sparsity-Aware Reconfigurable Deep Learning Accelerator Supporting Various Types of Operations17
Nonlinear Modeling of Multi-Converter Systems Within DC-Link Timescale16
Multi-State Memristors and Their Applications: An Overview16
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network16
A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN16
Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures15
MEM-OPT: A Scheduling and Data Re-Use System to Optimize On-Chip Memory Usage for CNNs On-Board FPGAs15
Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs14
Novel Low-Complexity Polynomial Multiplication Over Hybrid Fields for Efficient Implementation of Binary Ring-LWE Post-Quantum Cryptography14
Small-Signal Stability Analysis Method for Hybrid AC–DC Systems With Multiple DC Buses14
Data-Driven Distributed Online Learning Control for Islanded Microgrids14
Syndrome-Enabled Unsupervised Learning for Neural Network-Based Polar Decoder and Jointly Optimized Blind Equalizer13
Impedance Modeling and Stability Analysis of DFIG Wind Farm With LCC-HVDC Transmission13
Enhancing Transient Stability of PLL-Synchronized Converters by Introducing Voltage Normalization Control13
Assessing the Robustness of Cyber-Physical Power Systems by Considering Wide-Area Protection Functions13
Modeling Attack Resistant PUFs Based on Adversarial Attack Against Machine Learning13
Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays12
Transformerless Three-Level Flying-Capacitor Step-Up PV Micro-Inverter Without Electrolytic Capacitors12
A Reconfigurable 16Kb AND8T SRAM Macro With Improved Linearity for Multibit Compute-In Memory of Artificial Intelligence Edge Devices12
Dual-Hiding Side-Channel-Attack Resistant FPGA-Based Asynchronous-Logic AES: Design, Countermeasures and Evaluation12
An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations12
Machine Learning Based Multi-Agent System for Detecting and Neutralizing Unseen Cyber-Attacks in AGC and HVDC Systems12
Near-Sensor Distributed DNN Processing for Augmented and Virtual Reality11
Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs11
Siamese Networks for Few-Shot Learning on Edge Embedded Devices11
Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement-Based Spiking Central Pattern Generation11
Advanced Design Methods From Materials and Devices to Circuits for Brain-Inspired Oscillatory Neural Networks for Edge Computing10
Stability Improvement of Pulse Power Supply With Dual-Inductance Active Storage Unit Using Hysteresis Current Control10
A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS10
Attention-Based Activation Pruning to Reduce Data Movement in Real-Time AI: A Case-Study on Local Motion Planning in Autonomous Vehicles10
Fast and Compact Serial IMPLY-Based Approximate Full Adders Applied in Image Processing10
Robust LFC of Power Systems With Wind Power Under Packet Losses and Communication Delays10
How to Feed a Growing Population—An IoT Approach to Crop Health and Growth10
Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications9
A Versatile, Stand-Alone, In-Field Sensor Node for Implementation in Precision Agriculture9
An Energy-Efficient Compressed Sensing-Based Encryption Scheme for Wireless Neural Recording8
Sniffer: A Machine Learning Approach for DoS Attack Localization in NoC-Based SoCs8
Proof-Carrying Hardware-Based Information Flow Tracking in Analog/Mixed-Signal Designs7
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks7
Deep Neural Oracle With Support Identification in the Compressed Domain7
A Novel Power and Signal Composite Modulation Strategy for CCC-Based SRG in Distributed Microgrid7
Impedance Modeling and Stability Analysis of All-DC Delivered Offshore Wind Farm7
A 16 nJ/Classification FPGA-Based Wired-Logic DNN Accelerator Using Fixed-Weight Non-Linear Neural Net7
LoRaWAN ESL for Food Retail and Logistics7
Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks7
Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing7
Adaptive Deep-Learning-Based Steady-State Modeling and Fast Control Strategy for CLLC DC-DC Converter in Highly Renewable Penetrated System7
Resilient Power Converter: A Grid-Connected Converter With Disturbance/Attack Resiliency via Multi-Timescale Current Limiting Scheme7
Rich-Club Impact on Cascading Failures in Interdependent Power and Communication Networks7
Enabling In-Memory Computations in Non-Volatile SRAM Designs7
Parasitic-Aware Modeling and Neural Network Training Scheme for Energy-Efficient Processing-in-Memory With Resistive Crossbar Array6
Two Sides of the Same Coin: Boons and Banes of Machine Learning in Hardware Security6
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks6
AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration6
Hybrid Fixed-Point/Binary Deep Neural Network Design Methodology for Low-Power Object Detection6
A New Kalman-Filter-Based Harmonic Current Suppression Method for the Virtual Oscillator Controlled Grid-Tied Inverter6
Enabling Micro AI for Securing Edge Devices at Hardware Level6
Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations6
Equivalence Checking of Quantum Circuits With the ZX-Calculus6
PIM-DRAM: Accelerating Machine Learning Workloads Using Processing in Commodity DRAM6
Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks6
Binarization Methods for Motor-Imagery Brain–Computer Interface Classification6
An Analogue In-Memory Ridge Regression Circuit With Application to Massive MIMO Acceleration6
An Encryption Architecture Suitable for on Chip Integration With Sensors6
Edge of Chaos Explains Prigogine’s Instability of the Homogeneous6
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