Yuan‐Shin Hwang

52 total papers · 545 total citations
39 papers, 335 citations indexed

About

Yuan‐Shin Hwang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yuan‐Shin Hwang has authored 39 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Hardware and Architecture, 25 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Yuan‐Shin Hwang's work include Parallel Computing and Optimization Techniques (39 papers), Embedded Systems Design Techniques (17 papers) and Interconnection Networks and Systems (9 papers). Yuan‐Shin Hwang is often cited by papers focused on Parallel Computing and Optimization Techniques (39 papers), Embedded Systems Design Techniques (17 papers) and Interconnection Networks and Systems (9 papers). Yuan‐Shin Hwang collaborates with scholars based in Taiwan and United States. Yuan‐Shin Hwang's co-authors include Joel Saltz, R. Ponnusamy, Raja Das, Bongki Moon, Shamik D. Sharma, Jenq‐Kuen Lee, Roy Dz-Ching Ju, Geoffrey Fox, Alok Choudhary and Jenq Kuen Lee and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, ACM SIGPLAN Notices and Journal of Parallel and Distributed Computing.

In The Last Decade

Yuan‐Shin Hwang

36 papers receiving 311 citations

Author Peers

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

Author						Papers	Cites
Yuan‐Shin Hwang	274	225	66	44	31	39	335
Kleanthis Psarris	296 1.1×	185 0.8×	97 1.5×	45 1.0×	54 1.7×	52	362
Cosmin E. Oancea	251 0.9×	183 0.8×	134 2.0×	33 0.8×	30 1.0×	39	368
Christian Terboven	152 0.6×	178 0.8×	47 0.7×	89 2.0×	16 0.5×	41	297
Clemens Grelck	314 1.1×	270 1.2×	83 1.3×	53 1.2×	26 0.8×	68	398
P. Mehrotra	339 1.2×	334 1.5×	60 0.9×	37 0.8×	28 0.9×	23	395
Hwansoo Han	238 0.9×	260 1.2×	65 1.0×	80 1.8×	17 0.5×	56	373
Keith Seymour	241 0.9×	254 1.1×	47 0.7×	96 2.2×	31 1.0×	23	333
Weixing Ji	222 0.8×	271 1.2×	73 1.1×	59 1.3×	22 0.7×	62	397
Ian A. Troxel	206 0.8×	185 0.8×	34 0.5×	22 0.5×	17 0.5×	35	334
Ulrich Drepper	192 0.7×	223 1.0×	73 1.1×	85 1.9×	14 0.5×	20	338

Countries citing papers authored by Yuan‐Shin Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Yuan‐Shin Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Shin Hwang. 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 Yuan‐Shin Hwang. The network helps show where Yuan‐Shin Hwang may publish in the future.

Co-authorship network of co-authors of Yuan‐Shin Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Shin Hwang. A scholar is included among the top collaborators of Yuan‐Shin Hwang 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 Yuan‐Shin Hwang. Yuan‐Shin Hwang 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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