Jung-Lang Yu

496 total citations
46 papers, 375 citations indexed

About

Jung-Lang Yu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Jung-Lang Yu has authored 46 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 34 papers in Computer Networks and Communications and 11 papers in Signal Processing. Recurrent topics in Jung-Lang Yu's work include Advanced Wireless Communication Techniques (27 papers), Wireless Communication Networks Research (24 papers) and Advanced MIMO Systems Optimization (16 papers). Jung-Lang Yu is often cited by papers focused on Advanced Wireless Communication Techniques (27 papers), Wireless Communication Networks Research (24 papers) and Advanced MIMO Systems Optimization (16 papers). Jung-Lang Yu collaborates with scholars based in Taiwan, China and United States. Jung-Lang Yu's co-authors include Biling Zhang, Chien-Chung Yeh, Zhu Han, Chunxiao Jiang, Po‐Ting Chen, Yuyang Chen, Chia‐Hao Chen, Yuyang Chen, Yan Chen and Shaobo Liu and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Smart Grid and IEEE Transactions on Wireless Communications.

In The Last Decade

Jung-Lang Yu

42 papers receiving 364 citations

Peers

Jung-Lang Yu
Yao Cheng Germany
Xin He China
Ezzeldin Hamed United States
Olutayo O. Oyerinde South Africa
Shan Luo China
Yao Cheng Germany
Jung-Lang Yu
Citations per year, relative to Jung-Lang Yu Jung-Lang Yu (= 1×) peers Yao Cheng

Countries citing papers authored by Jung-Lang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Lang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung-Lang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Lang Yu. A scholar is included among the top collaborators of Jung-Lang Yu 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 Jung-Lang Yu. Jung-Lang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Jung-Lang, et al.. (2024). Low-resolution phase shifter-based hybrid precoding for mmWave massive MIMO. EURASIP Journal on Wireless Communications and Networking. 2024(1).
3.
Yu, Jung-Lang, et al.. (2020). Blind channel identification for cyclic-prefixed MIMO-OFDM systems with virtual carriers. China Communications. 17(3). 101–116. 2 indexed citations
4.
Zhang, Biling, Yuyang Chen, Jung-Lang Yu, & Zhu Han. (2019). An Indirect-Reciprocity-Based Incentive Framework for Multimedia Service Through Device-to-Device Multicast. IEEE Transactions on Vehicular Technology. 68(11). 10969–10980. 10 indexed citations
5.
7.
Chen, Bin, Biling Zhang, Jung-Lang Yu, Yan Chen, & Zhu Han. (2017). An indirect reciprocity based incentive framework for cooperative spectrum sensing. 1–6. 5 indexed citations
8.
Zhang, Biling, et al.. (2017). Indirect-Reciprocity Data Fusion Game and Application to Cooperative Spectrum Sensing. IEEE Transactions on Wireless Communications. 16(10). 6571–6585. 9 indexed citations
9.
Zhang, Biling, Chunxiao Jiang, Jung-Lang Yu, & Zhu Han. (2016). A Contract Game for Direct Energy Trading in Smart Grid. IEEE Transactions on Smart Grid. 9(4). 2873–2884. 66 indexed citations
10.
Zhang, Biling, et al.. (2014). A fast subspace channel estimation for STBC-based MIMO-OFDM systems. 75–79. 2 indexed citations
11.
Zhang, Biling, Kai Chen, Jung-Lang Yu, & Shiduan Cheng. (2013). Two-Level Bargaining Game Modeling for Cooperation Stimulation in Spectrum Leasing. IEICE Transactions on Communications. E96.B(7). 1953–1961. 1 indexed citations
12.
Yu, Jung-Lang, et al.. (2012). Fast semi-blind channel estimation for MIMO-OFDM systems with virtual carriers. 356–361. 3 indexed citations
13.
Zhang, Biling, Kai Chen, Jung-Lang Yu, & Shiduan Cheng. (2012). Two-level bargain game for spectrum leasing in cognitive radio networks. 44. 962–967. 3 indexed citations
14.
Yu, Jung-Lang, et al.. (2011). A Novel Subspace Channel Estimation with Fast Convergence for ZP-OFDM Systems. IEEE Transactions on Wireless Communications. 10(10). 3168–3173. 5 indexed citations
15.
Yu, Jung-Lang, et al.. (2010). Subspace Channel Estimation Assisted by Block Matrix Scheme for ZP-OFDM Systems. 16–20. 2 indexed citations
16.
Yu, Jung-Lang, et al.. (2006). MC-CDMA Multiple-Input Multiple-Output Systems with Space-Time Block Codes. 2. 1492–1495. 1 indexed citations
17.
Yu, Jung-Lang, et al.. (2006). A two-stage partially adaptive linear receiver for CDMA MIMO systems with Alamouti's space–time block codes. Digital Signal Processing. 17(1). 244–260.
18.
Yu, Jung-Lang, et al.. (2004). Blind estimation of finite alphabet digital signals using eigenspace-based beamforming techniques. Signal Processing. 84(5). 895–905. 2 indexed citations
20.
Yu, Jung-Lang, et al.. (2000). Transformation-based adaptive array beamforming. Signal Processing. 80(2). 231–241. 6 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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