Che-Yu Liu

403 total citations
36 papers, 252 citations indexed

About

Che-Yu Liu is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, Che-Yu Liu has authored 36 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 8 papers in Condensed Matter Physics and 7 papers in Computer Networks and Communications. Recurrent topics in Che-Yu Liu's work include Advanced Optical Network Technologies (11 papers), Advanced Photonic Communication Systems (10 papers) and Optical Network Technologies (10 papers). Che-Yu Liu is often cited by papers focused on Advanced Optical Network Technologies (11 papers), Advanced Photonic Communication Systems (10 papers) and Optical Network Technologies (10 papers). Che-Yu Liu collaborates with scholars based in United States, Taiwan and China. Che-Yu Liu's co-authors include S. J. Ben Yoo, Roberto Proietti, Xiaoliang Chen, Zhaohui Li, Hao‐Chung Kuo, Sébastien Bubeck, Zuqing Zhu, Chun-Yen Chang, Tsung Sheng Kao and Baojia Li and has published in prestigious journals such as Optics Express, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Che-Yu Liu

32 papers receiving 241 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Che-Yu Liu United States	10	154	59	40	39	33	36	252
Jin-Hyun Ahn South Korea	11	217 1.4×	44 0.7×	55 1.4×	20 0.5×	34 1.0×	33	302
H. Bu United States	13	435 2.8×	16 0.3×	17 0.4×	25 0.6×	43 1.3×	22	497
Ann Ackaert Belgium	10	182 1.2×	53 0.9×	24 0.6×	25 0.6×	17 0.5×	38	291
Eldred Nelson United States	8	40 0.3×	32 0.5×	15 0.4×	51 1.3×	30 0.9×	14	245
Y.J. Wang Taiwan	5	268 1.7×	38 0.6×	21 0.5×	16 0.4×	14 0.4×	8	307
Esteban Garzón Italy	12	262 1.7×	61 1.0×	31 0.8×	19 0.5×	23 0.7×	42	369
Tianhan Wang China	6	77 0.5×	25 0.4×	29 0.7×	14 0.4×	23 0.7×	8	193
Asif Ali Khan Germany	8	177 1.1×	118 2.0×	33 0.8×	11 0.3×	12 0.4×	29	273
Shih‐Hung Chen Belgium	13	461 3.0×	81 1.4×	7 0.2×	18 0.5×	27 0.8×	89	516
Shawn A. Hall United States	8	85 0.6×	46 0.8×	28 0.7×	10 0.3×	13 0.4×	16	195

Countries citing papers authored by Che-Yu Liu

Since Specialization

Citations

This map shows the geographic impact of Che-Yu Liu'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 Che-Yu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che-Yu Liu more than expected).

Fields of papers citing papers by Che-Yu Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che-Yu Liu. 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 Che-Yu Liu. The network helps show where Che-Yu Liu may publish in the future.

Co-authorship network of co-authors of Che-Yu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Che-Yu Liu. A scholar is included among the top collaborators of Che-Yu Liu 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 Che-Yu Liu. Che-Yu Liu 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

Liu, Kai-Chun, Sheng-Yu Peng, Yu Tsao, et al.. (2024). A Cross-Modal Autoencoder for Contactless Electrocardiography Monitoring Using Frequency-Modulated Continuous Wave Radar. IEEE Sensors Journal. 24(24). 41462–41473. 1 indexed citations

Liu, Che-Yu, David T. Neilson, Roland Ryf, S. J. Ben Yoo, & J. E. Simsarian. (2023). Modular Optical Nodes with Anylane Add-Drop for Spatial Division Multiplexed Networks. M4G.5–M4G.5. 1 indexed citations

Singh, Sandeep Kumar, Che-Yu Liu, Roberto Proietti, & S. J. Ben Yoo. (2023). MAESTRO: MAke-bEfore-break StraTegy for Reconfiguration in Optical Datacenters. W1G.2–W1G.2.

Chang, Kai‐Fu, et al.. (2023). Downregulation of VEGFR2 signaling by cedrol abrogates VEGF‑driven angiogenesis and proliferation of glioblastoma cells through AKT/P70S6K and MAPK/ERK1/2 pathways. Oncology Letters. 26(2). 342–342. 4 indexed citations

Singh, Sandeep Kumar, Che-Yu Liu, S. J. Ben Yoo, & Roberto Proietti. (2022). Machine-Learning-Aided Dynamic Reconfiguration in Optical DC/HPC Networks (Invited). 1–6. 4 indexed citations

Chen, Xiaoliang, et al.. (2022). On Cooperative Fault Management in Multi-Domain Optical Networks Using Hybrid Learning. IEEE Journal of Selected Topics in Quantum Electronics. 28(4). 1–9. 13 indexed citations

Singh, Sandeep Kumar, Roberto Proietti, Che-Yu Liu, & S. J. Ben Yoo. (2022). Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture. Optical Fiber Communication Conference (OFC) 2022. W2A.18–W2A.18.

Ruiz, Marc, Che-Yu Liu, Xiaoliang Chen, et al.. (2021). Cooperative Learning for Disaggregated Delay Modeling in Multidomain Networks. IEEE Transactions on Network and Service Management. 18(3). 3633–3646. 7 indexed citations

Liu, Che-Yu, Xiaoliang Chen, Roberto Proietti, & S. J. Ben Yoo. (2020). Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks. Th3D.1–Th3D.1. 6 indexed citations

10.

Liu, Che-Yu, Xiaoliang Chen, Roberto Proietti, & S. J. Ben Yoo. (2020). Performance studies of evolutionary transfer learning for end-to-end QoT estimation in multi-domain optical networks [Invited]. Journal of Optical Communications and Networking. 13(4). B1–B1. 21 indexed citations

11.

Chen, Xiaoliang, Baojia Li, Roberto Proietti, et al.. (2019). Demonstration of distributed collaborative learning with end-to-end QoT estimation in multi-domain elastic optical networks. Optics Express. 27(24). 35700–35700. 16 indexed citations

12.

Huang, Chia‐Yen, et al.. (2017). Monolithic GaN-InGaN Core-shell Lasers in Submicron Scale. Conference on Lasers and Electro-Optics. 1. STh1C.2–STh1C.2. 1 indexed citations

13.

Liu, Che-Yu, Chia‐Yen Huang, Peiyu Wu, et al.. (2016). High-Performance Ultraviolet 385-nm GaN-Based LEDs With Embedded Nanoscale Air Voids Produced Through Atomic Layer Deposition and Al₂O₃Passivation. IEEE Electron Device Letters. 37(4). 452–455. 9 indexed citations

14.

Liu, Che-Yu, Hung-Wen Huang, Fang‐I Lai, et al.. (2015). Enhanced Light Extraction Efficiency of GaN-Based Hybrid Nanorods Light-Emitting Diodes. IEEE Journal of Selected Topics in Quantum Electronics. 21(4). 354–360. 32 indexed citations

15.

Liu, Che-Yu & Sébastien Bubeck. (2014). Most Correlated Arms Identification. arXiv (Cornell University). 623–637. 1 indexed citations

16.

Lee, Chia-Yu, Da-Wei Lin, Che-Yu Liu, et al.. (2013). A Study of Mechanical Lift-Off Technology for High-Efficiency Vertical LEDs Using Micro-Porous GaN Template. 89. ATh3N.2–ATh3N.2. 2 indexed citations

17.

Hsu, Cheng–Lung, et al.. (2009). New type small-angle sensor based on the surface plasmon resonance technology. 563–565. 2 indexed citations

18.

Tyan, Yeu-Sheng, et al.. (2008). Change in Cerebral Perfusion of Patients With Coma After Treatment With Right Median Nerve Stimulation and Hyperbaric Oxygen. Neuromodulation Technology at the Neural Interface. 11(4). 296–301. 7 indexed citations

19.

Chen, Po‐Yuan, Che-Yu Liu, & TingTing Hwang. (2008). Transition-aware decoupling-capacitor allocation in power noise reduction. International Conference on Computer Aided Design. 426–429. 4 indexed citations

20.

Chen, Po‐Yuan, Che-Yu Liu, & TingTing Hwang. (2008). Transition-aware decoupling-capacitor allocation in power noise reduction. 426–429. 4 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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