Pei-Jung Chung

82 total papers · 825 total citations
56 papers, 538 citations indexed

About

Pei-Jung Chung is a scholar working on Electrical and Electronic Engineering, Signal Processing and Aerospace Engineering. According to data from OpenAlex, Pei-Jung Chung has authored 56 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 21 papers in Signal Processing and 20 papers in Aerospace Engineering. Recurrent topics in Pei-Jung Chung's work include Direction-of-Arrival Estimation Techniques (18 papers), Advanced MIMO Systems Optimization (13 papers) and Advanced Wireless Communication Techniques (9 papers). Pei-Jung Chung is often cited by papers focused on Direction-of-Arrival Estimation Techniques (18 papers), Advanced MIMO Systems Optimization (13 papers) and Advanced Wireless Communication Techniques (9 papers). Pei-Jung Chung collaborates with scholars based in United Kingdom, Germany and United States. Pei-Jung Chung's co-authors include J.F. Böhme, John Thompson, Johann F. Böhme, Christoph F. Mecklenbräuker, Alfred O. Hero, Huiqin Du, P.M. Grant, Jacek Gondzio, Yijia Fan and Ioannis Krikidis and has published in prestigious journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Transactions on Wireless Communications.

In The Last Decade

Pei-Jung Chung

54 papers receiving 520 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pei-Jung Chung	297	233	153	138	68	56	538
Hongxing Zou	234 0.8×	117 0.5×	93 0.6×	76 0.6×	42 0.6×	36	508
Jaume Riba	375 1.3×	157 0.7×	213 1.4×	188 1.4×	153 2.3×	67	588
Tsung‐Hsien Liu	254 0.9×	158 0.7×	247 1.6×	69 0.5×	32 0.5×	36	495
Pedro A. Forero	156 0.5×	280 1.2×	92 0.6×	61 0.4×	259 3.8×	33	598
M.L. McCloud	255 0.9×	188 0.8×	184 1.2×	119 0.9×	33 0.5×	23	452
Abdeldjalil Aïssa El Bey	187 0.6×	111 0.5×	355 2.3×	51 0.4×	54 0.8×	60	611
Alexandre Renaux	165 0.6×	81 0.3×	410 2.7×	269 1.9×	119 1.8×	52	616
Zheng Wang	201 0.7×	91 0.4×	49 0.3×	71 0.5×	102 1.5×	72	504
Karl Werner	374 1.3×	187 0.8×	104 0.7×	134 1.0×	51 0.8×	23	612
Jeng‐Kuang Hwang	336 1.1×	164 0.7×	136 0.9×	57 0.4×	20 0.3×	79	489

Countries citing papers authored by Pei-Jung Chung

Since Specialization

Citations

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

Fields of papers citing papers by Pei-Jung Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei-Jung Chung

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

All Works

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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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