Jwo-Yuh Wu

103 total papers · 864 total citations
66 papers, 616 citations indexed

About

Jwo-Yuh Wu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Jwo-Yuh Wu has authored 66 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 44 papers in Computer Networks and Communications and 20 papers in Computational Mechanics. Recurrent topics in Jwo-Yuh Wu's work include Sparse and Compressive Sensing Techniques (20 papers), Advanced Wireless Communication Techniques (18 papers) and Wireless Communication Networks Research (15 papers). Jwo-Yuh Wu is often cited by papers focused on Sparse and Compressive Sensing Techniques (20 papers), Advanced Wireless Communication Techniques (18 papers) and Wireless Communication Networks Research (15 papers). Jwo-Yuh Wu collaborates with scholars based in Taiwan, United Kingdom and United States. Jwo-Yuh Wu's co-authors include Ta-Sung Lee, Tsang-Yi Wang, Wen‐Hua Tu, Robert G. Maunder, Lajos Hanzo, Wen-Rong Wu, Fan-Shuo Tseng, Bashir M. Al‐Hashimi, Chun‐Hung Liu and Ling-Hua Chang and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Communications Surveys & Tutorials.

In The Last Decade

Jwo-Yuh Wu

60 papers receiving 596 citations

Author Peers

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

Author						Papers	Cites
Jwo-Yuh Wu	413	315	142	128	88	66	616
François Chan	422 1.0×	174 0.6×	73 0.5×	160 1.3×	104 1.2×	59	576
Thakshila Wimalajeewa	212 0.5×	363 1.2×	293 2.1×	96 0.8×	111 1.3×	55	681
Maha Elsabrouty	413 1.0×	260 0.8×	43 0.3×	94 0.7×	91 1.0×	105	641
Montse Nájar	485 1.2×	144 0.5×	177 1.2×	161 1.3×	180 2.0×	67	688
Daniel Denkovski	452 1.1×	413 1.3×	44 0.3×	89 0.7×	66 0.8×	50	641
Yang Yang	383 0.9×	190 0.6×	87 0.6×	110 0.9×	21 0.2×	44	583
Ghosheh Abed Hodtani	427 1.0×	308 1.0×	121 0.9×	45 0.4×	108 1.2×	124	680
Rabia Tugce Yazicigil	314 0.8×	133 0.4×	124 0.9×	47 0.4×	59 0.7×	44	533
Vijitha Weerackody	349 0.8×	185 0.6×	97 0.7×	131 1.0×	196 2.2×	51	569
Ali Görçin	423 1.0×	230 0.7×	37 0.3×	181 1.4×	69 0.8×	54	590

Countries citing papers authored by Jwo-Yuh Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jwo-Yuh Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jwo-Yuh Wu. 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 Jwo-Yuh Wu. The network helps show where Jwo-Yuh Wu may publish in the future.

Co-authorship network of co-authors of Jwo-Yuh Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jwo-Yuh Wu. A scholar is included among the top collaborators of Jwo-Yuh Wu 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 Jwo-Yuh Wu. Jwo-Yuh Wu 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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