Mobile Networks & Applications

Papers
(The H4-Index of Mobile Networks & Applications is 21. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Context-awareness and Nature of Computation and Communication274
Editorial: Intelligent Mobility and Edge Computing for a Smarter World48
EIPSO: An Energy Efficient Indoor Positioning System based on Game Theory46
Sports Training Correction based on 3D Virtual Image Model45
LSTM Empowered Random Access with Attention Mechanism for IoT in Integrated Terrestrial and Non-Terrestrial Networks45
An Algorithm of Image Encryption based on AES & Rossler Hyperchaotic Modeling44
Mobile Signal Modulation Recognition Based on Multimodal Feature Fusion41
Advanced Machine Learning Based Mobile Multimedia Application36
Empowering Medical Diagnosis: A Machine Learning Approach for Symptom-Based Health Checker36
Efficient and Secure Graph-Based Trust-Enabled Routing in Vehicular Ad-Hoc Networks31
Research on the Positioning Technology of Sports 3D Teaching Action Based on Machine Vision30
A Resource-Efficient Deep Learning Approach to Visual-Based Cattle Geographic Origin Prediction28
A Large-Scale IoT-Based Scheme for Real-Time Prediction of Infectious Disease Symptoms26
Position Synchronization Control Algorithm of Legged Robot Based on DSP Centralized Control25
Research on Moving Liquid Level Detection Method of Viscometer in Dynamic Scene24
Machine Learning Approach for Early Detection of Diabetes Using Raman Spectroscopy23
Applying Probabilistic Model Checking to Path Planning for a Smart Multimodal Transportation System Using IoT Sensor Data22
Sensor Spoofing Detection On Autonomous Vehicle Using Channel-spatial-temporal Attention Based Autoencoder Network22
Bridging the Gap between University Engineering Education and Enterprise Requirements22
An Intelligent Pilot Contamination Attacker-Defender Model for Wireless Networks: A Stackelberg Game Based Approach22
Approaches and Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.021
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