Shu‐ping Yeh

1.4k total citations
36 papers, 971 citations indexed

About

Shu‐ping Yeh is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Shu‐ping Yeh has authored 36 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 25 papers in Computer Networks and Communications and 4 papers in Aerospace Engineering. Recurrent topics in Shu‐ping Yeh's work include Advanced MIMO Systems Optimization (28 papers), Cooperative Communication and Network Coding (16 papers) and Advanced Wireless Network Optimization (12 papers). Shu‐ping Yeh is often cited by papers focused on Advanced MIMO Systems Optimization (28 papers), Cooperative Communication and Network Coding (16 papers) and Advanced Wireless Network Optimization (12 papers). Shu‐ping Yeh collaborates with scholars based in United States, Finland and Switzerland. Shu‐ping Yeh's co-authors include Shilpa Talwar, Nageen Himayat, Sergey Andreev, Yevgeni Koucheryavy, Mikhail Gerasimenko, Seong-Choon Lee, Dmitri Moltchanov, Kerstin Johnsson, Sarabjot Singh and Geng Wu and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Shu‐ping Yeh

36 papers receiving 934 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shu‐ping Yeh United States	15	874	657	80	74	38	36	971
Seiamak Vahid United Kingdom	10	527 0.6×	475 0.7×	54 0.7×	45 0.6×	19 0.5×	40	636
Heinz Droste Germany	11	1.1k 1.3×	909 1.4×	115 1.4×	92 1.2×	22 0.6×	21	1.3k
Simone Redana Germany	18	956 1.1×	926 1.4×	47 0.6×	34 0.5×	17 0.4×	60	1.0k
Mauro Boldi Italy	11	416 0.5×	290 0.4×	66 0.8×	71 1.0×	32 0.8×	23	555
Ehsan Aryafar United States	16	953 1.1×	576 0.9×	223 2.8×	44 0.6×	18 0.5×	43	1.1k
Natale Patriciello Italy	14	452 0.5×	436 0.7×	124 1.6×	62 0.8×	15 0.4×	36	636
Saeedeh Parsaeefard Iran	19	939 1.1×	756 1.2×	93 1.2×	26 0.4×	36 0.9×	62	1.1k
Siavash Bayat Iran	14	582 0.7×	468 0.7×	95 1.2×	22 0.3×	44 1.2×	36	761
Vanlin Sathya India	13	488 0.6×	421 0.6×	34 0.4×	62 0.8×	48 1.3×	87	630
Beiyu Rong United States	8	993 1.1×	851 1.3×	65 0.8×	48 0.6×	10 0.3×	11	1.1k

Countries citing papers authored by Shu‐ping Yeh

Since Specialization

Citations

This map shows the geographic impact of Shu‐ping Yeh'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 Shu‐ping Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐ping Yeh more than expected).

Fields of papers citing papers by Shu‐ping Yeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐ping Yeh. 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 Shu‐ping Yeh. The network helps show where Shu‐ping Yeh may publish in the future.

Co-authorship network of co-authors of Shu‐ping Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐ping Yeh. A scholar is included among the top collaborators of Shu‐ping Yeh 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 Shu‐ping Yeh. Shu‐ping Yeh 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

Yang, Kun, et al.. (2024). Offline Reinforcement Learning for Wireless Network Optimization With Mixture Datasets. IEEE Transactions on Wireless Communications. 23(10). 12703–12716. 9 indexed citations

Moltchanov, Dmitri, Wei Mao, Shu‐ping Yeh, et al.. (2024). Impact of System-Specific Factors on Scheduling and Resource Allocation in mmWave IAB Networks. Trepo - Institutional Repository of Tampere University. 43–48. 1 indexed citations

Mao, Wei, Shu‐ping Yeh, Omid Semiari, et al.. (2024). Delay-Aware Link Scheduling in IAB Networks With Dynamic User Demands. IEEE Transactions on Vehicular Technology. 73(10). 15125–15139. 2 indexed citations

Moltchanov, Dmitri, Wei Mao, Hosein Nikopour, et al.. (2024). Analysis of Duplexing Patterns in Multi-Hop mmWave Integrated Access and Backhaul Systems. IEEE Open Journal of the Communications Society. 5. 5392–5407. 1 indexed citations

Yang, Kun, et al.. (2024). Advancing RAN Slicing with Offline Reinforcement Learning. 331–338. 4 indexed citations

Mao, Wei, et al.. (2023). Transmission-Cost Minimization for Packet-level Coding on Multi-path Wireless Networks. 365–371. 3 indexed citations

Yeh, Shu‐ping, et al.. (2023). Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment. IEEE Open Journal of the Communications Society. 5. 64–70. 17 indexed citations

Li, Donghao, et al.. (2022). Multi-Agent Reinforcement Learning for Wireless User Scheduling: Performance, Scalablility, and Generalization. 7 indexed citations

Gerasimenko, Mikhail, Dmitri Moltchanov, Mustafa Riza Akdeniz, et al.. (2018). Improved Network Coverage with Adaptive Navigation of mmWave-Based Drone-Cells. Trepo - Institutional Repository of Tampere University. 9 indexed citations

10.

Gapeyenko, Margarita, Andrey Samuylov, Mikhail Gerasimenko, et al.. (2016). Analysis of human-body blockage in urban millimeter-wave cellular communications. 1–7. 136 indexed citations

11.

Singh, Sarabjot, et al.. (2016). Proportional Fair Traffic Splitting and Aggregation in Heterogeneous Wireless Networks. IEEE Communications Letters. 20(5). 1010–1013. 53 indexed citations

12.

Gerasimenko, Mikhail, Dmitri Moltchanov, Sergey Andreev, et al.. (2016). Adaptive Resource Management Strategy in Practical Multi-Radio Heterogeneous Networks. IEEE Access. 5. 219–235. 15 indexed citations

13.

Galinina, Olga, Sergey Andreev, Mikhail Gerasimenko, et al.. (2014). Capturing Spatial Randomness of Heterogeneous Cellular/WLAN Deployments With Dynamic Traffic. IEEE Journal on Selected Areas in Communications. 32(6). 1083–1099. 31 indexed citations

14.

Andreev, Sergey, Mikhail Gerasimenko, Olga Galinina, et al.. (2014). Intelligent access network selection in converged multi-radio heterogeneous networks. IEEE Wireless Communications. 21(6). 86–96. 75 indexed citations

15.

Himayat, Nageen, Shu‐ping Yeh, Ali Y. Panah, et al.. (2014). Multi-radio heterogeneous networks: Architectures and performance. 252–258. 34 indexed citations

16.

Yeh, Shu‐ping, Ali Y. Panah, Nageen Himayat, & Shilpa Talwar. (2013). QoS Aware Scheduling and Cross-Radio Coordination in Multi-Radio Heterogeneous Networks. 1–6. 7 indexed citations

17.

Yeh, Shu‐ping, Shilpa Talwar, Geng Wu, Nageen Himayat, & Kerstin Johnsson. (2011). Capacity and coverage enhancement in heterogeneous networks. IEEE Wireless Communications. 18(3). 32–38. 117 indexed citations

18.

Yeh, Shu‐ping, Shilpa Talwar, Nageen Himayat, & Kerstin Johnsson. (2010). Power control based interference mitigation in multi-tier networks. 18 indexed citations

19.

Yeh, Shu‐ping, Olivier Lévêque, & J.M. Cioffi. (2007). Asymptotic Capacity of Orthogonal Multi-Level Amplify-and-Forward Relay Networks. Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers. 57–61. 4 indexed citations

20.

Yeh, Shu‐ping & Olivier Lévêque. (2007). Asymptotic Capacity of Multi-Level Amplify-and-Forward Relay Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 54. 1436–1440. 39 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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