IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Papers
(The median citation count of IEEE Journal on Emerging and Selected Topics in Circuits and Systems is 2. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations74
Programmable Coding Metasurface for Dual-Band Independent Real-Time Beam Control69
Coding Programmable Metasurfaces Based on Deep Learning Techniques66
Programmable Metamaterials for Software-Defined Electromagnetic Control: Circuits, Systems, and Architectures53
Automated Pest Detection With DNN on the Edge for Precision Agriculture53
A Hybrid Strategy for the Discovery and Design of Photonic Structures52
Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems51
An Overview of Efficient Interconnection Networks for Deep Neural Network Accelerators46
Programmable High-Order OAM-Carrying Beams for Direct-Modulation Wireless Communications43
Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance41
Optimal Allocation and Sizing of Synchronous Condensers in Weak Grids With Increased Penetration of Wind and Solar Farms37
Dethroning GPS: Low-Power Accurate 5G Positioning Systems Using Machine Learning35
Design of Nonlinear Droop Control in DC Microgrid for Desired Voltage Regulation and Current Sharing Accuracy34
Frequency Trajectory Planning Based Strategy for Improving Frequency Stability of Droop-Controlled Inverter Based Standalone Power Systems34
Libraries of Approximate Circuits: Automated Design and Application in CNN Accelerators34
Distributed Sliding Mode Observer-Based Secondary Control for DC Microgrids Under Cyber-Attacks33
Time-Sharing Frequency Coordinated Control Strategy for PMSG-Based Wind Turbine33
Millimeter-Wave Imaging Using 1-Bit Programmable Metasurface: Simulation Model, Design, and Experiment33
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays32
Online Few-Shot Gesture Learning on a Neuromorphic Processor30
Performance Comparison of Typical Frequency Response Strategies for Power Systems With High Penetration of Renewable Energy Sources30
SRNPU: An Energy-Efficient CNN-Based Super-Resolution Processor With Tile-Based Selective Super-Resolution in Mobile Devices28
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference28
Deception Attack Detection of Isolated DC Microgrids Under Consensus- Based Distributed Voltage Control Architecture27
Hardware Implementation of Neural Self-Interference Cancellation26
Impedance-Based Analysis of Control Interactions in Weak-Grid-Tied PMSG Wind Turbines26
Error Analysis of Programmable Metasurfaces for Beam Steering26
A Directional Gamma-Ray Spectrometer With Microcontroller-Embedded Machine Learning25
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs25
Maximum Virtual Inertia From DC-Link Capacitors Considering System Stability at Voltage Control Timescale24
An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning24
Reprogrammable Spatiotemporally Modulated Graphene-Based Functional Metasurfaces24
Deep Learning-Aided Belief Propagation Decoder for Polar Codes24
EMG-Based Gestures Classification Using a Mixed-Signal Neuromorphic Processing System23
STT-BNN: A Novel STT-MRAM In-Memory Computing Macro for Binary Neural Networks23
Event-Triggered Distributed Consensus Tracking for Nonlinear Multi-Agent Systems: A Minimal Approximation Approach23
Quantum PUF for Security and Trust in Quantum Computing23
Coordinated VSG Control of Photovoltaic/Battery System for Maximum Power Output and Grid Supporting22
Optimizing Temporal Convolutional Network Inference on FPGA-Based Accelerators21
A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference21
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs21
Impacts of Phase-Locked Loop Dynamic on the Stability of DC-Link Voltage Control in Voltage Source Converter Integrated to Weak Grid21
Introducing Recurrence in Strong PUFs for Enhanced Machine Learning Attack Resistance19
Machine-Learning-Based Microwave Sensing: A Case Study for the Food Industry19
Dynamic Inertia Evaluation for type-3 Wind Turbines Based on Inertia Function18
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
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
Reconfigurable Smart In-Memory Computing Platform Supporting Logic and Binarized Neural Networks for Low-Power Edge Devices17
Effects of High Level of Penetration of Renewable Energy Sources on Cascading Failure of Modern Power Systems16
High-Frequency Stability Analysis and Impedance Optimization for an MMC-HVDC Integrated System Considering Delay Effects16
TSV Antennas for Multi-Band Wireless Communication16
Preventing DNN Model IP Theft via Hardware Obfuscation16
Design of a Sparsity-Aware Reconfigurable Deep Learning Accelerator Supporting Various Types of Operations16
A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN16
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network16
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 Approach16
Undersea Wireless Power and Data Transfer System With Shared Channel Powered by Marine Renewable Energy System16
CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays16
MEM-OPT: A Scheduling and Data Re-Use System to Optimize On-Chip Memory Usage for CNNs On-Board FPGAs15
Nonlinear Modeling of Multi-Converter Systems Within DC-Link Timescale15
Multi-State Memristors and Their Applications: An Overview15
Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures15
AM4: MRAM Crossbar Based CAM/TCAM/ACAM/AP for In-Memory Computing14
Enhancing Transient Stability of PLL-Synchronized Converters by Introducing Voltage Normalization Control13
Small-Signal Stability Analysis Method for Hybrid AC–DC Systems With Multiple DC Buses13
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
Syndrome-Enabled Unsupervised Learning for Neural Network-Based Polar Decoder and Jointly Optimized Blind Equalizer13
Data-Driven Distributed Online Learning Control for Islanded Microgrids13
Transformerless Three-Level Flying-Capacitor Step-Up PV Micro-Inverter Without Electrolytic Capacitors12
Improving Autonomous Nano-Drones Performance via Automated End-to-End Optimization and Deployment of DNNs12
Novel Low-Complexity Polynomial Multiplication Over Hybrid Fields for Efficient Implementation of Binary Ring-LWE Post-Quantum Cryptography12
Impedance Modeling and Stability Analysis of DFIG Wind Farm With LCC-HVDC Transmission12
Machine Learning Based Multi-Agent System for Detecting and Neutralizing Unseen Cyber-Attacks in AGC and HVDC Systems12
Dual-Hiding Side-Channel-Attack Resistant FPGA-Based Asynchronous-Logic AES: Design, Countermeasures and Evaluation12
Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays11
Siamese Networks for Few-Shot Learning on Edge Embedded Devices11
Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement-Based Spiking Central Pattern Generation11
An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations11
Near-Sensor Distributed DNN Processing for Augmented and Virtual Reality11
Idling Energy Modeling and Reduction in Energy Harvesting Terahertz Nanonetworks for Controlling Software-Defined Metamaterials10
Attention-Based Activation Pruning to Reduce Data Movement in Real-Time AI: A Case-Study on Local Motion Planning in Autonomous Vehicles10
A Reconfigurable 16Kb AND8T SRAM Macro With Improved Linearity for Multibit Compute-In Memory of Artificial Intelligence Edge Devices10
How to Feed a Growing Population—An IoT Approach to Crop Health and Growth10
Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs10
Robust LFC of Power Systems With Wind Power Under Packet Losses and Communication Delays9
Stability Improvement of Pulse Power Supply With Dual-Inductance Active Storage Unit Using Hysteresis Current Control9
A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS9
Advanced Design Methods From Materials and Devices to Circuits for Brain-Inspired Oscillatory Neural Networks for Edge Computing9
Sniffer: A Machine Learning Approach for DoS Attack Localization in NoC-Based SoCs8
A Versatile, Stand-Alone, In-Field Sensor Node for Implementation in Precision Agriculture8
Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications8
Fast and Compact Serial IMPLY-Based Approximate Full Adders Applied in Image Processing8
Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing7
Analytical Calculation of Radiation Characteristics of Metasurface-Based Solar Antennas “SOLANTs” With Uniform and Non-Uniform Cells7
An Energy-Efficient Compressed Sensing-Based Encryption Scheme for Wireless Neural Recording7
Proof-Carrying Hardware-Based Information Flow Tracking in Analog/Mixed-Signal Designs7
Adaptive Deep-Learning-Based Steady-State Modeling and Fast Control Strategy for CLLC DC-DC Converter in Highly Renewable Penetrated System7
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
Deep Neural Oracle With Support Identification in the Compressed Domain7
Parasitic-Aware Modeling and Neural Network Training Scheme for Energy-Efficient Processing-in-Memory With Resistive Crossbar Array6
An Analogue In-Memory Ridge Regression Circuit With Application to Massive MIMO Acceleration6
PIM-DRAM: Accelerating Machine Learning Workloads Using Processing in Commodity DRAM6
Hybrid Fixed-Point/Binary Deep Neural Network Design Methodology for Low-Power Object Detection6
Binarization Methods for Motor-Imagery Brain–Computer Interface Classification6
AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration6
Resilient Power Converter: A Grid-Connected Converter With Disturbance/Attack Resiliency via Multi-Timescale Current Limiting Scheme6
Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks6
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks6
Edge of Chaos Explains Prigogine’s Instability of the Homogeneous6
A Novel Power and Signal Composite Modulation Strategy for CCC-Based SRG in Distributed Microgrid6
An Encryption Architecture Suitable for on Chip Integration With Sensors5
Memory-Efficient FPGA Implementation of Stochastic Simulated Annealing5
Analytical Determination of Fast-Scale Instability Boundaries for Current Mode Controlled DC–DC Converters With CPL and Closed Voltage Loop5
A New Kalman-Filter-Based Harmonic Current Suppression Method for the Virtual Oscillator Controlled Grid-Tied Inverter5
Enabling Micro AI for Securing Edge Devices at Hardware Level5
CTT-Based Scalable Neuromorphic Architecture5
SoftCharge: Software Defined Multi-Device Wireless Charging Over Large Surfaces5
A Multiplier-Less Convolutional Neural Network Inference Accelerator for Intelligent Edge Devices5
LoRaWAN ESL for Food Retail and Logistics5
Investigation of Multiple Resonances and Stability Enhancement in Multi-Source DC Distribution Power Systems5
Exploring Compute-in-Memory Architecture Granularity for Structured Pruning of Neural Networks5
Enabling In-Memory Computations in Non-Volatile SRAM Designs5
Digital Multiplier-Less Spiking Neural Network Architecture of Reinforcement Learning in a Context-Dependent Task5
On the Distribution of Clique-Based Neural Networks for Edge AI5
Hardware-Efficient Residual Neural Network Execution in Line-Buffer Depth-First Processing5
Rich-Club Impact on Cascading Failures in Interdependent Power and Communication Networks5
An Energy-Efficient 3D Cross-Ring Accelerator With 3D-SRAM Cubes for Hybrid Deep Neural Networks5
Toward Real-Time, At-Home Patient Health Monitoring Using Reservoir Computing CMOS IC5
A Compute-in-Memory Hardware Accelerator Design With Back-End-of-Line (BEOL) Transistor Based Reconfigurable Interconnect5
A Non-Idealities Aware Software–Hardware Co-Design Framework for Edge-AI Deep Neural Network Implemented on Memristive Crossbar5
Non-Destructive Assessment of Kiwifruit Flesh Firmness by a Contactless Waveguide Device and Multivariate Regression Analyses5
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks5
Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture5
Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations4
A Stochastic Computing Sigma-Delta Adder Architecture for Efficient Neural Network Design4
Equivalence Checking of Quantum Circuits With the ZX-Calculus4
VWC-SDK: Convolutional Weight Mapping Using Shifted and Duplicated Kernel With Variable Windows and Channels4
GP3D: 3D NAND Based In-Memory Graph Processing Accelerator4
Circuit Design and Application of Discrete Cosine Transform Based on Memristor4
DSIM: Distributed Sequence Matching on Near-DRAM Accelerator for Genome Assembly4
A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP4
Two Sides of the Same Coin: Boons and Banes of Machine Learning in Hardware Security4
An SRAM-Based Hybrid Computation-in-Memory Macro Using Current-Reused Differential CCO4
Incomplete Information Stochastic Game Theoretic Vulnerability Management for Wide-Area Damping Control Against Cyber Attacks4
Resilience-Oriented Dynamic Distribution Network With Considering Recovery Ability of Distributed Resources4
On the Interpretation of Four Point Impedance Spectroscopy of Plant Dehydration Monitoring4
Automatic On-Chip Clock Network Optimization for Electromagnetic Side-Channel Protection4
Adaptive Power Compensation-Based Frequency Regulation Strategy of Wind Turbine System4
A New Lightweight In Situ Adversarial Sample Detector for Edge Deep Neural Network4
Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design4
AERO: Design Space Exploration Framework for Resource-Constrained CNN Mapping on Tile-Based Accelerators4
SimuNN: A Pre-RTL Inference, Simulation and Evaluation Framework for Neural Networks4
Enabling Energy-Efficient In-Memory Computing With Robust Assist-Based Reconfigurable Sense Amplifier in SRAM Array4
Stochastic Computing Design and Implementation of a Sound Source Localization System4
Deep Learning Driven Non-Orthogonal Precoding for Millimeter Wave Communications4
Gershgorin-Circle Based Low-Complexity Generalized Nyquist Stability Criterion for DFIG Driven Wind Turbines4
Motor Driver-Based Topology of Integrated On-Board Charging System and Data-Driven Inductance Identification Method4
Development of Predictive Reliability Model of Solar Photovoltaic System Using Stochastic Diffusion Process for Distribution System4
An Optimized MOS-Based High Frequency Charge-Controlled Memcapacitor Emulator4
Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning3
A Novel Hypercube-Based Heuristic for Quantum Boolean Circuit Synthesis3
Bridge Memristor Super-Resolution Crossbars3
A Current-Limiting Scheme for Voltage-Controlled Inverter Using Instantaneous Current to Generate Virtual Impedance3
QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI3
A Completely Distributed Economic Dispatching Strategy Considering Capacity Constraints3
Domain-Specific Quantum Architecture Optimization3
Experimental Implementation of Quantum Algorithm for Association Rules Mining3
Hardware Efficient Successive-Cancellation Polar Decoders Using Approximate Computing3
Time Series-Based Sensor Selection and Lightweight Neural Architecture Search for RUL Estimation in Future Industry 4.03
SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation3
A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference3
Xbar-Partitioning: A Practical Way for Parasitics and Noise Tolerance in Analog IMC Circuits3
A Flux Controlled MOS-Based Optimized High Frequency Meminductor Emulator3
Intermittent Fault Diagnosis and Prognosis for Steer-by-Wire System Using Composite Degradation Model3
Stuck-at-Fault Immunity Enhancement of Memristor-Based Edge AI Systems3
Efficient Approximate Posit Multipliers for Deep Learning Computation3
Multi-Input Variable Structure Converter With Optimal Power Extraction Strategy for Energy Harvesting3
Improving the Stability of Standalone MMCs by Shaping the AC Side Impedance Using Insertion Index Compensation3
Multi-Objective Optimization for DC Microgrid Using Combination of NSGA-II Algorithm and Linear Search Method3
Testing Scalable Bell Inequalities for Quantum Graph States on IBM Quantum Devices2
A Single-MOSFET Analog High Resolution-Targeted (SMART) Multiplier for Machine Learning Classification2
A Low Frequency Ripple Current Suppression Strategy for Single-Phase Photovoltaic Grid-Connected Inverter2
Deep-Learning Based Power System Events Detection Technology Using Spatio-Temporal and Frequency Information2
TPE: A Hardware-Based TLB Profiling Expert for Workload Reconstruction2
Hardware-Robust In-RRAM-Computing for Object Detection2
PAWN: Programmed Analog Weights for Non-Linearity Optimization in Memristor-Based Neuromorphic Computing System2
A Novel Topology for DC Electric Spring With Parallel Structure2
Muller C-Element Exploiting Programmable Metallization Cell for Bayesian Inference2
MAC-ECC: In-Situ Error Correction and Its Design Methodology for Reliable NVM-Based Compute-in-Memory Inference Engine2
Mott Memristors and Neuronal Ion Channels: A Qualitative Analysis2
Cross-Layer Noise Analysis in Smart Digital Pixel Sensors With Integrated Deep Neural Network2
Memristor-Based Light-Weight Transformer Circuit Implementation for Speech Recognizing2
Design of Efficient AI Accelerator Building Blocks in Quantum-Dot Cellular Automata (QCA)2
D-NAT: Data-Driven Non-Ideality Aware Training Framework for Fabricated Computing-In-Memory Macros2
Device Modeling Bias in ReRAM-Based Neural Network Simulations2
Engineering Grover Adaptive Search: Exploring the Degrees of Freedom for Efficient QUBO Solving2
Design of Processing-in-Memory With Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training2
Hardware Security in Emerging Technologies: Vulnerabilities, Attacks, and Solutions2
Advances in Quantum Computation and Quantum Technologies: A Design Automation Perspective2
TempDiff: Feature Map-Level CNN Sparsity Enhancement at Near-Zero Memory Overhead via Temporal Difference2
SE-CNN: Convolution Neural Network Acceleration via Symbolic Value Prediction2
EFedDSA: An Efficient Differential Privacy-Based Horizontal Federated Learning Approach for Smart Grid Dynamic Security Assessment2
Adaptive Security Control Against False Data Injection Attacks in Cyber-Physical Systems2
A 28 nm 81 Kb 59–95.3 TOPS/W 4T2R ReRAM Computing-in-Memory Accelerator With Voltage-to-Time-to-Digital Based Output2
Exploring and Analyzing the Token Ecosystem: A Complex Network Analysis Perspective2
To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration2
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