OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Communications Letters is 53. 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 2020-07-01 to 2024-07-01.)

Article	Citations
STAR-RISs: Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces	198
Reconfigurable Intelligent Surface (RIS) Assisted Wireless Coverage Extension: RIS Orientation and Location Optimization	179
Sum Rate Maximization for IRS-Assisted Uplink NOMA	169
Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems	166
Unveiling the Importance of SIC in NOMA Systems—Part 1: State of the Art and Recent Findings	152
Channel Estimation for RIS Assisted Wireless Communications—Part II: An Improved Solution Based on Double-Structured Sparsity	142
UWB NLOS/LOS Classification Using Deep Learning Method	138
Active RIS Versus Passive RIS: Which is Superior With the Same Power Budget?	131
Coverage Characterization of STAR-RIS Networks: NOMA and OMA	121
Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing	114
Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach	101
Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing	98
Channel Estimation for RIS Assisted Wireless Communications—Part I: Fundamentals, Solutions, and Future Opportunities	98
Mixed Dual-Hop FSO-RF Communication Systems Through Reconfigurable Intelligent Surface	92
Multi-Branch Deep Residual Learning for Clustering and Beamforming in User-Centric Network	91
Ergodic Capacity of Intelligent Reflecting Surface-Assisted Communication Systems With Phase Errors	88
Physical Layer Security Enhancement Exploiting Intelligent Reflecting Surface	83
The LSTM-Based Advantage Actor-Critic Learning for Resource Management in Network Slicing With User Mobility	82
Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA Networks	81
Active Reconfigurable Intelligent Surface: Fully-Connected or Sub-Connected?	81
Coverage Probability and Ergodic Capacity of Intelligent Reflecting Surface-Enhanced Communication Systems	78
Hybrid RIS-Empowered Reflection and Decode-and-Forward Relaying for Coverage Extension	77
Reconfigurable Intelligent Surfaces in 6G: Reflective, Transmissive, or Both?	76
On the Performance Analysis of RIS-Empowered Communications Over Nakagami-m Fading	72
NOMA Empowered Integrated Sensing and Communication	71

Channel Estimation for STAR-RIS-Aided Wireless Communication	68
Practical Modeling and Beamforming for Intelligent Reflecting Surface Aided Wideband Systems	68
Sparse Bayesian Learning of Delay-Doppler Channel for OTFS System	68
Intelligent Reflecting Surface Enhanced Millimeter-Wave NOMA Systems	67
Robust Design for Intelligent Reflecting Surfaces Assisted MISO Systems	67
Backscatter-Enabled NOMA for Future 6G Systems: A New Optimization Framework Under Imperfect SIC	65
Rank Minimization-Based Toeplitz Reconstruction for DoA Estimation Using Coprime Array	65
Fine-Grained Modulation Classification Using Multi-Scale Radio Transformer With Dual-Channel Representation	65
Millimeter Wave and Sub-THz Indoor Radio Propagation Channel Measurements, Models, and Comparisons in an Office Environment	64
Channel Estimation for Extremely Large-Scale Massive MIMO: Far-Field, Near-Field, or Hybrid-Field?	63
Intelligent Reflecting Surface-Aided Indoor Visible Light Communication Systems	63
Simultaneous Transmission and Reflection Reconfigurable Intelligent Surface Assisted Secrecy MISO Networks	62
Reconfigurable Intelligent Surfaces-Aided Physical Layer Security Enhancement in D2D Underlay Communications	62
Towards Ubiquitous Positioning by Leveraging Reconfigurable Intelligent Surface	61
Active Reconfigurable Intelligent Surfaces-Aided Wireless Communication System	61
Deep Learning-Based Denoise Network for CSI Feedback in FDD Massive MIMO Systems	58
Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems	58
Optimizing Multi-UAV Deployment in 3-D Space to Minimize Task Completion Time in UAV-Enabled Mobile Edge Computing Systems	58
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation	58
A Tutorial on Joint Radar and Communication Transmission for Vehicular Networks—Part I: Background and Fundamentals	57
Enhanced Secure Wireless Information and Power Transfer via Intelligent Reflecting Surface	57
Channel Estimation in IRS-Enhanced mmWave System With Super-Resolution Network	56
A Model-Driven Deep Learning Method for Massive MIMO Detection	55
Stochastic Geometry-Based Analysis of LEO Satellite Communication Systems	55
Cooperative Spectrum Sensing Meets Machine Learning: Deep Reinforcement Learning Approach	55
Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN	54
Outage Probability Analysis and Minimization in Intelligent Reflecting Surface-Assisted MISO Systems	54
Reconfigurable Intelligent Surface Assisted Coordinated Multipoint in Downlink NOMA Networks	53
Unsupervised Learning-Based Joint Active and Passive Beamforming Design for Reconfigurable Intelligent Surfaces Aided Wireless Networks	53