IEEE Transactions on Emerging Topics in Computing

Papers
(The TQCC of IEEE Transactions on Emerging Topics in Computing is 9. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Front Cover101
Reliability Evaluation and Fault Tolerant Design for KLL Sketches94
PipeDAP: An Efficient Communication Framework for Scheduling Decoupled All-Reduce Primitives in Distributed DNN Training79
HDGCN: Dual-Channel Graph Convolutional Network With Higher-Order Information for Robust Feature Learning75
IsBad: Imperceptible Sample-Specific Backdoor to DNN With Denoising Autoencoder72
Approximated Coded Computing: Towards Fast, Private and Secure Distributed Machine Learning66
Table of Contents60
A Technique for Approximate Communication in Network-on-Chips for Image Classification60
MC-DiffNet: Mask-Constrained and Cycle-Consistent Diffusion Network for Unpaired Ultrasound Image Enhancement55
Fast Multiple-Precision Integer Division Using Intel AVX-51254
NeuSB: A Scalable Interconnect Architecture for Spiking Neuromorphic Hardware54
cuFE: High Performance Privacy Preserving Support Vector Machine With Inner-Product Functional Encryption52
Efficient Training and Neuro-Encoding for Bridging Hybrid ANN and SNN Computation49
Graph Reconfigurable Pooling for Graph Representation Learning48
Scheduling Coflows by Online Identification in Data Center Network44
Table of Contents40
DALTON - Deep Local Learning in SNNs via Local Weights and Surrogate-Derivative Transfer40
IEEE Transactions on Emerging Topics in Computing Publication Information39
Table of Contents37
A VLSI Digital Circuit Platform for Performing Deterministic Stochastic Computing in the Time Dimension Using Fraction Operations on Rational Numbers36
Evaluating the Security and Economic Effects of Moving Target Defense Techniques on the Cloud35
Memristive Crossbar Array-Based Adversarial Defense Using Compression35
A Representation Learning Approach to Feature Drift Detection in Wireless Networks34
Analyzing the Performance of Feature Selection on Regression Problems: A Case Study on Older Adults’ Functional Profile33
Privacy-Preserving Publicly Verifiable Outsourced Distributed Computation Scheme for Matrix Multiplication33
Unleashing the Potential of Skyrmion Racetrack Memory as Energy-Efficient On-Chip Memory32
Practical and Robust Privacy-Preserving K-Means Clustering Protocols With GPU Acceleration32
Practical and Efficient Non-Interactive Multi-Client Searchable Encryption for E-Healthcare Systems31
Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks30
A Survey of MRAM-Centric Computing: From Near Memory to In Memory30
(In)security of Stream Ciphers Against Quantum Annealing Attacks on the Example of the Grain 128 and Grain 128a Ciphers30
A Virtual Reality Perceptual Study of Multi-Technique Redirected Walking Method28
Architecture Support for Bitslicing27
Systematic Analysis of Interconnect and Contact Defects in RRAMs27
Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm27
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models Via Scale Reparameterization27
BIC Codes: Bit Insertion-Based Constrained Codes With Error Correction for DNA Storage27
Secure Delegated Quantum Approximate Optimization Algorithm with Quantum One-Time Pad for MAX-CUT Problem27
A Multiplier-Free RNS-Based CNN Accelerator Exploiting Bit-Level Sparsity27
HARPOCRATES: An Approach Towards Efficient Encryption of Data-at-Rest26
CRAM-Seq: Accelerating RNA-Seq Abundance Quantification Using Computational RAM26
Combining Trust Graphs and Keystroke Dynamics to Counter Fake Identities in Social Networks26
A New Quantum Efficient Fault Tolerant Parity Preserving Clifford + T ALU25
Energy Efficient Approximate Computing Framework for DNN Acceleration Using a Probabilistic-Oriented Method24
Tight Bound on NewHope Failure Probability24
Integrated Edge Computing and Blockchain: A General Medical Data Sharing Framework23
Table of Contents22
Private Delegated Computations Using Strong Isolation20
Traffic Network Socialization: An Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction20
What, When, Where to Compute-in-Memory for Efficient Matrix Multiplication During Machine Learning Inference20
Graph-Based Anomaly APT Attack Detection via Threat Intelligence20
Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems20
Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation20
Designing Mobile Technologies to Encourage Civic Engagement: The Role of Situated Motivational Affordances20
MFDS-STGCN: Predicting the Behaviors of College Students With Fine-Grained Spatial-Temporal Activities Data20
GraphMamba: Graph Tokenization Mamba for Hyperspectral Image Classification19
Error in Ulps of the Multiplication or Division by a Correctly-Rounded Function or Constant in Binary Floating-Point Arithmetic19
Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems19
SoSTA: Skill-Oriented Stable Task Assignment With Bidirectional Preferences in Crowdsourcing18
Deadline-Aware and Energy-Efficient Dynamic Task Mapping and Scheduling for Multicore Systems Based on Wireless Network-on-Chip17
MemAscend: System Memory Optimization for SSD-Offloaded LLM Fine-Tuning17
3D Invisible Cloak: A Robust Person Stealth Attack Against Object Detector in Complex 3D Physical Scenarios17
Deep Graph Networks for Drug Repurposing With Multi-Protein Targets16
SelfVis: Self-Supervised Learning for Human Activity Recognition Based on Area Charts16
I Choose You: Automated Hyperparameter Tuning for Deep Learning-Based Side-Channel Analysis16
Child-Computer Interaction With Mobile Devices: Recent Works, New Dataset, and Age Detection16
A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications15
Sepformer-Based Models: More Efficient Models for Long Sequence Time-Series Forecasting15
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection15
Table of Contents15
Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-1915
Front Cover15
NeuE: Automated Neural Network Ensembles for Edge Intelligence14
Deep Belief Network-Based Activity of Daily Living Monitoring for Fall Risk Prediction in Elderly14
Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples14
Vector Field-Guided Circumnavigation for an Unmanned Surface Vehicle With Boundary and Obstacle Constraints14
Construction of a Spike-Based Memory Using Neural-Like Logic Gates Based on Spiking Neural Networks on SpiNNaker14
A Novel Ensemble Method for Detecting Energy Theft in Smart Grids13
Approximate MAC Unit Using Static Segmentation13
Resource-Aware Knowledge Distillation for Federated Learning13
A Fast RLWE-Based IPFE Library and its Application to Privacy-Preserving Biometric Authentication13
Hybrid Quantum ResNet for Time Series Classification13
Scalable and RISC-V Programmable Near-Memory Computing Architectures for Edge Nodes13
AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption13
A Novel Prediction Technique for Federated Learning12
Traceable and Revocable Attribute-Based Conjunctive Keyword Search12
Use the Spear as a Shield: An Adversarial Example Based Privacy-Preserving Technique Against Membership Inference Attacks12
Quantum Implementation and Analysis of SHA-2 and SHA-312
CyFence: Securing Cyber-Physical Controllers via Trusted Execution Environment12
Path-Based Delay Variation Models for Parallel-Prefix Adders12
Maximizing Social Influence With Minimum Information Alteration12
Fuzzy Clustered Federated Learning Algorithm for Solar Power Generation Forecasting12
Energy-Efficient Recurrent Neural Network With MRAM-Based Probabilistic Activation Functions12
Multi-View Partial Multi-Label Learning via Class Activation Specific Features Collaborative Learning12
Front Cover11
Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data11
MEV Detection for Ethereum Security: An Empirical Analysis on Agreement and Scalability11
Spatial-Temporal Neighborhood Transformer for Point Cloud Completion11
A Bio-Inspired Implementation of a Sparse-Learning Spike-Based Hippocampus Memory Model11
PLSM: A Parallelized Liquid State Machine for Unintentional Action Detection11
PLAM: A Posit Logarithm-Approximate Multiplier11
FairRFL: Fair and Robust Federated Learning in the Presence of Selfish Clients11
PPSplitFed: Privacy-Preserving Splitfed Learning via Functional Encryption11
WASMBOX: A Lightweight Wasm-Based Runtime for Trustworthy Multi-Tenant Embedded Systems11
Quantum-Inspired Differential Evolution With Decoding Using Hashing for Efficient User Allocation in Edge Computing Environment10
Performability of Service Chains With Rejuvenation: A Multidimensional Universal Generating Function Approach10
X-RAFT: Improve RAFT Consensus to Make Blockchain Better Secure EdgeAI-Human-IoT Data10
Computation Efficiency Maximization in Multi-UAV-Enabled Mobile Edge Computing Systems Based on 3D Deployment Optimization10
Notice of Violation of IEEE Publication Principles: An Energy-Efficient Heterogeneous Memory Architecture for Future Dark Silicon Embedded Chip-Multiprocessors10
Toward Scalable Multi-Chip Wireless Networks With Near-Field Time Reversal10
2022 Reviewers List*10
ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems10
SGprAle: Self-Supervised Gaussian Process Regression for Average Localisation Error Estimation in Wireless Networks10
Guest Editorial Emerging Trends and Advances in Graph-Based Methods and Applications10
Exploiting Entity Information for Robust Prediction Over Event Knowledge Graphs9
Using Diversities to Model the Reliability of Two-Version Machine Learning Systems9
Toward Designing High-Speed Cost-Efficient Quantum Reversible Carry Select Adders9
H-BILSTM: A Novel Bidirectional Long Short Term Memory Network Based Intelligent Early Warning Scheme in Mobile Edge Computing (MEC)9
IEEE Transactions on Emerging Topics in Computing Publication Information9
Optimized Multi-Scale Convolutional Neural Network-Wavelet Feature Fusion with Reinforcement-Based Explainable Selection9
Online Resource Provisioning and Batch Scheduling for AIoT Inference Serving in an XPU Edge Cloud9
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