ACM Transactions on Sensor Networks

Papers
(The H4-Index of ACM Transactions on Sensor Networks is 23. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Data Privacy Enhancing in the IoT User/Device Behavior Analytics99
XNAS: A Regressive/Progressive NAS for Deep Learning84
DSME-LoRa: Seamless Long-range Communication between Arbitrary Nodes in the Constrained IoT78
Flow-Time Minimization for Timely Data Stream Processing in UAV-Aided Mobile Edge Computing71
Edge-assisted Object Segmentation Using Multimodal Feature Aggregation and Learning64
Achieving Panoramic View Coverage in Visual Mobile Crowd-Sensing Networks for Emergency Monitoring Applications53
Minimizing Age of Event in Artificial Intelligence of Things46
PDGes: An Interpretable Detection Model for Parkinson’s Disease Using Smartphones45
Fine-Grained Stop-Move Detection with UWB: Quality Metrics and Real-World Evaluation44
FedGST: An Efficient Federated Graph Neural Network for Spatio-temporal PoI Recommendation40
A Collaborative Learning-based Urban Low-light Small-target Face Image Enhancement Method40
InferLoc: Hypothesis-Based Joint Edge Inference and Localization in Sparse Sensor Networks37
Practical Charger Placement Scheme for Wireless Rechargeable Sensor Networks with Obstacles36
WiCAM2.0: Imperceptible and Targeted Attack on Deep Learning based WiFi Sensing36
Towards Stable WiFi-based HAR from Imbalanced Data and Changing Circumstances33
From Demodulation to Decoding: Toward Complete LoRa PHY Understanding and Implementation28
GPART: Partitioning Maximal Redundant Rigid and Maximal Global Rigid Components in Generic Distance Graphs27
VSSB-Raft: A Secure and Efficient Zero Trust Consensus Algorithm for Blockchain27
SearchAuth: Neural Architecture Search-based Continuous Authentication Using Auto Augmentation Search26
A Voronoi Diagram and Q-Learning based Relay Node Placement Method Subject to Radio Irregularity26
Push the Limit of Millimeter-wave Radar Localization25
On Node Localizability Identification in Barycentric Linear Localization25
Exploring Partially Overlapping Channels for Low-power Wide Area Networks23
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