Yung‐Chung Wang

43 total papers · 608 total citations
38 papers, 425 citations indexed

About

Yung‐Chung Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Information Systems. According to data from OpenAlex, Yung‐Chung Wang has authored 38 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 24 papers in Electrical and Electronic Engineering and 9 papers in Management Information Systems. Recurrent topics in Yung‐Chung Wang's work include Wireless Communication Networks Research (15 papers), Advanced Wireless Network Optimization (9 papers) and Advanced Queuing Theory Analysis (9 papers). Yung‐Chung Wang is often cited by papers focused on Wireless Communication Networks Research (15 papers), Advanced Wireless Network Optimization (9 papers) and Advanced Queuing Theory Analysis (9 papers). Yung‐Chung Wang collaborates with scholars based in Taiwan, United States and United Arab Emirates. Yung‐Chung Wang's co-authors include Joe‐Air Jiang, Cheng-Long Chuang, Ying-Tung Hsiao, Chien-Hsing Lee, Shu‐Ming Tseng, Chih-Hung Hung, Chia-Pang Chen, Tzu-Shiang Lin, Subhas Chandra Mukhopadhyay and Chwan-Lu Tseng and has published in prestigious journals such as Sensors, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Yung‐Chung Wang

33 papers receiving 411 citations

Author Peers

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

Author						Papers	Cites
Yung‐Chung Wang	259	185	185	63	33	38	425
Kaikai Pan	228 0.9×	140 0.8×	333 1.8×	69 1.1×	7 0.2×	34	434
Mohsen Zamani	108 0.4×	189 1.0×	118 0.6×	102 1.6×	7 0.2×	45	466
Chunli Xie	82 0.3×	204 1.1×	93 0.5×	64 1.0×	24 0.7×	23	387
Ahmad Al‐Hammouri	170 0.7×	164 0.9×	225 1.2×	38 0.6×	5 0.2×	32	381
F. Postiglione	140 0.5×	172 0.9×	52 0.3×	29 0.5×	12 0.4×	46	391
J.P. Thomesse	90 0.3×	272 1.5×	114 0.6×	27 0.4×	20 0.6×	36	469
Yunxiang Wu	313 1.2×	132 0.7×	86 0.5×	56 0.9×	4 0.1×	31	469
Fengchun Liu	175 0.7×	119 0.6×	115 0.6×	105 1.7×	4 0.1×	43	478
V.P. Nelson	193 0.7×	140 0.8×	36 0.2×	55 0.9×	6 0.2×	35	411
Mutaz M. Hamdan	100 0.4×	269 1.5×	365 2.0×	67 1.1×	4 0.1×	19	463

Countries citing papers authored by Yung‐Chung Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yung‐Chung Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Chung Wang. 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 Yung‐Chung Wang. The network helps show where Yung‐Chung Wang may publish in the future.

Co-authorship network of co-authors of Yung‐Chung Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Chung Wang. A scholar is included among the top collaborators of Yung‐Chung Wang 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 Yung‐Chung Wang. Yung‐Chung Wang 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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