Chia‐Hsiang Yang

161 total papers · 1.5k total citations
111 papers, 985 citations indexed

About

Chia‐Hsiang Yang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Chia‐Hsiang Yang has authored 111 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Electrical and Electronic Engineering, 23 papers in Computer Networks and Communications and 23 papers in Artificial Intelligence. Recurrent topics in Chia‐Hsiang Yang's work include Advanced Wireless Communication Techniques (23 papers), Error Correcting Code Techniques (15 papers) and Advanced Memory and Neural Computing (14 papers). Chia‐Hsiang Yang is often cited by papers focused on Advanced Wireless Communication Techniques (23 papers), Error Correcting Code Techniques (15 papers) and Advanced Memory and Neural Computing (14 papers). Chia‐Hsiang Yang collaborates with scholars based in Taiwan, United States and Germany. Chia‐Hsiang Yang's co-authors include Dejan Marković, Yeong-Luh Ueng, Herming Chiueh, Kai‐Chieh Chang, Horng‐Huei Liou, Jui‐Hung Hung, Chiao-En Chen, Tai-Shih Chi, Cheng‐Hsun Lu and Yu‐Chi Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Chia‐Hsiang Yang

99 papers receiving 957 citations

Author Peers

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

Author						Papers	Cites
Chia‐Hsiang Yang	576	241	168	165	146	111	985
Yukihiro Tadokoro	511 0.9×	172 0.7×	295 1.8×	244 1.5×	85 0.6×	143	1.1k
P. Julián	381 0.7×	169 0.7×	179 1.1×	172 1.0×	212 1.5×	96	1.0k
Kyoung-Rok Cho	841 1.5×	153 0.6×	77 0.5×	103 0.6×	82 0.6×	102	1.1k
Melissa C. Smith	252 0.4×	147 0.6×	100 0.6×	35 0.2×	182 1.2×	71	872
Franklin F. Kuo	377 0.7×	227 0.9×	91 0.5×	116 0.7×	73 0.5×	39	846
Mounir Samet	221 0.4×	66 0.3×	125 0.7×	158 1.0×	163 1.1×	82	893
Romis Attux	271 0.5×	106 0.4×	232 1.4×	40 0.2×	270 1.8×	104	885
Jizhong Shen	219 0.4×	428 1.8×	214 1.3×	60 0.4×	396 2.7×	68	1.0k
Hsi‐Pin Ma	280 0.5×	129 0.5×	76 0.5×	419 2.5×	45 0.3×	81	955
Yoshifumi Nishio	310 0.5×	469 1.9×	39 0.2×	98 0.6×	278 1.9×	329	1.1k

Countries citing papers authored by Chia‐Hsiang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chia‐Hsiang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Hsiang Yang. 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 Chia‐Hsiang Yang. The network helps show where Chia‐Hsiang Yang may publish in the future.

Co-authorship network of co-authors of Chia‐Hsiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Hsiang Yang. A scholar is included among the top collaborators of Chia‐Hsiang Yang 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 Chia‐Hsiang Yang. Chia‐Hsiang Yang 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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