Hsin‐Piao Lin

1.6k total citations
130 papers, 1.2k citations indexed

About

Hsin‐Piao Lin is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Hsin‐Piao Lin has authored 130 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Electrical and Electronic Engineering, 58 papers in Aerospace Engineering and 52 papers in Computer Networks and Communications. Recurrent topics in Hsin‐Piao Lin's work include Wireless Communication Networks Research (33 papers), Indoor and Outdoor Localization Technologies (30 papers) and Advanced MIMO Systems Optimization (23 papers). Hsin‐Piao Lin is often cited by papers focused on Wireless Communication Networks Research (33 papers), Indoor and Outdoor Localization Technologies (30 papers) and Advanced MIMO Systems Optimization (23 papers). Hsin‐Piao Lin collaborates with scholars based in Taiwan, United States and Ethiopia. Hsin‐Piao Lin's co-authors include Rong‐Terng Juang, Shiann‐Shiun Jeng, Ding‐Bing Lin, Abebe Belay Adege, Getaneh Berie Tarekegn, Yirga Yayeh Munaye, W.J. Vogel, Li‐Chun Wang, Guangkui Xu and Guanghan Xu and has published in prestigious journals such as Sensors, IEEE Transactions on Wireless Communications and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Hsin‐Piao Lin

125 papers receiving 1.1k citations

Peers

Hsin‐Piao Lin

EEE

CNC

Jukka Talvitie Finland

José A. del Peral-Rosado Spain

Giuseppe Destino Finland

Junyu Liu China

Longning Qi China

Camillo Gentile United States

Stefania Bartoletti Italy

Guangyi Guo China

KyungHi Chang South Korea

Pavel Davidson Finland

Jukka Talvitie Finland

Hsin‐Piao Lin

1.0k ×1.2

EEE

364 ×0.8

CNC

367 ×0.8

220 ×1.0

193 ×1.4

Citations per year, relative to Hsin‐Piao Lin Hsin‐Piao Lin (= 1×) peers Jukka Talvitie

Countries citing papers authored by Hsin‐Piao Lin

Since Specialization

Citations

This map shows the geographic impact of Hsin‐Piao Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hsin‐Piao Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Piao Lin more than expected).

Fields of papers citing papers by Hsin‐Piao Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Piao Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hsin‐Piao Lin. The network helps show where Hsin‐Piao Lin may publish in the future.

Co-authorship network of co-authors of Hsin‐Piao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Piao Lin. A scholar is included among the top collaborators of Hsin‐Piao Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hsin‐Piao Lin. Hsin‐Piao Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tarekegn, Getaneh Berie, et al.. (2025). Trajectory Control and Fair Communications for Multi-UAV Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Wireless Communications. 24(9). 7598–7611. 4 indexed citations

Yao, Cheng-Kai, Hsin‐Piao Lin, Ming‐An Chung, et al.. (2025). Fiber/Free-Space Optics with Open Radio Access Networks Supplements the Coverage of Millimeter-Wave Beamforming for Future 5G and 6G Communication. Fibers. 13(4). 39–39. 2 indexed citations

Wu, Chia‐Lun, et al.. (2024). Novel AMI in Zigbee Satellite Network Based on Heterogeneous Wireless Sensor Network for Global Machine-to-Machine Connectivity. Electronics. 13(8). 1421–1421. 2 indexed citations

Juang, Rong‐Terng, et al.. (2024). Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications. IEEE Open Journal of Vehicular Technology. 5. 1712–1726. 8 indexed citations

Tarekegn, Getaneh Berie, et al.. (2024). A Centralized Multi-Agent DRL-Based Trajectory Control Strategy for Unmanned Aerial Vehicle-Enabled Wireless Communications. IEEE Open Journal of Vehicular Technology. 5. 1230–1241. 12 indexed citations

Lin, Ding‐Bing, et al.. (2023). A Compact Broadband Common-Mode Suppression Filter That Integrates Series-Mushroom into Defected Corrugated Reference Plane Structures. Sensors. 23(13). 5852–5852. 2 indexed citations

Wu, Chia‐Lun, et al.. (2023). Evolution towards Coordinated Multi-Point Architecture in Self-Organizing Networks for Small Cell Enhancement Systems. Electronics. 12(11). 2473–2473. 1 indexed citations

Tarekegn, Getaneh Berie, et al.. (2023). Applying t-Distributed Stochastic Neighbor Embedding for Improving Fingerprinting-Based Localization System. IEEE Sensors Letters. 7(9). 1–4. 6 indexed citations

Juang, Rong‐Terng, et al.. (2023). Deep Learning-Based Link Quality Estimation for RIS-Assisted UAV-Enabled Wireless Communications System. Sensors. 23(19). 8041–8041. 4 indexed citations

10.

Tarekegn, Getaneh Berie, et al.. (2022). Deep-Reinforcement-Learning-Based Drone Base Station Deployment for Wireless Communication Services. IEEE Internet of Things Journal. 9(21). 21899–21915. 33 indexed citations

11.

Wang, Andrew, et al.. (2021). Demonstration of tethered hovering flight of HTTP-3AT hybrid rocket. Acta Astronautica. 191. 279–292. 24 indexed citations

12.

Tarekegn, Getaneh Berie, Rong‐Terng Juang, Hsin‐Piao Lin, Abebe Belay Adege, & Yirga Yayeh Munaye. (2020). D_FOPS: Deep-Learning-Based Fingerprinting Outdoor Positioning Scheme in Hybrid Networks. IEEE Internet of Things Journal. 8(5). 3717–3729. 20 indexed citations

13.

Adege, Abebe Belay, Hsin‐Piao Lin, & Li‐Chun Wang. (2019). Mobility Predictions for IoT Devices Using Gated Recurrent Unit Network. IEEE Internet of Things Journal. 7(1). 505–517. 45 indexed citations

14.

Adege, Abebe Belay, et al.. (2018). An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms. Journal of Sensors. 2018. 1–12. 33 indexed citations

15.

Adege, Abebe Belay, Hsin‐Piao Lin, Getaneh Berie Tarekegn, & Shiann‐Shiun Jeng. (2018). Applying Deep Neural Network (DNN) for Robust Indoor Localization in Multi-Building Environment. Applied Sciences. 8(7). 1062–1062. 59 indexed citations

16.

Lin, Hsin‐Piao, et al.. (2018). Fast Convolution Filter-Bank Based Non-Orthogonal Multiplexed Cognitive Radio (NOMCR) Receiver Design Using Cyclostationarity Based FRESH Filtering. Sensors. 18(6). 1930–1930. 3 indexed citations

17.

Chen, Tianxiang, et al.. (2017). An Intelligent Access Control System Based on Passive Radio-Frequency Identification. Sensors and Materials. 355–355. 3 indexed citations

18.

Lin, Hsin‐Piao, et al.. (2017). Improving Radio Frequency Identification-Based Localization Accuracy Using Computer-Vision-Assisted Sensor Deployment Technology. Sensors and Materials. 387–387. 1 indexed citations

19.

Shin, Woosuck, et al.. (2016). Device-Free Indoor Localization Based on Data Mining Classification Algorithms. Sensors and Materials. 637–637. 1 indexed citations

20.

Lin, Ding‐Bing, et al.. (2015). Room Occupancy Determination Using Multimodal Sensor Fusion. Sensors and Materials. 1–1. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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