Yuan-Hao Chang

304 total papers · 2.8k total citations
243 papers, 2.1k citations indexed

About

Yuan-Hao Chang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Yuan-Hao Chang has authored 243 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 206 papers in Computer Networks and Communications, 127 papers in Hardware and Architecture and 50 papers in Electrical and Electronic Engineering. Recurrent topics in Yuan-Hao Chang's work include Advanced Data Storage Technologies (191 papers), Parallel Computing and Optimization Techniques (122 papers) and Caching and Content Delivery (122 papers). Yuan-Hao Chang is often cited by papers focused on Advanced Data Storage Technologies (191 papers), Parallel Computing and Optimization Techniques (122 papers) and Caching and Content Delivery (122 papers). Yuan-Hao Chang collaborates with scholars based in Taiwan, Hong Kong and United States. Yuan-Hao Chang's co-authors include Tei‐Wei Kuo, Jen-Wei Hsieh, Ming-Chang Yang, Yu-Ming Chang, Po‐Chun Huang, Chun-Feng Wu, Wei‐Kuan Shih, Hsiang-Pang Li, Shuo-Han Chen and Tseng‐Yi Chen and has published in prestigious journals such as Applied Physics Letters, Expert Systems with Applications and Computer.

In The Last Decade

Yuan-Hao Chang

222 papers receiving 2.0k citations

Author Peers

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

Author						Papers	Cites
Yuan-Hao Chang	1.8k	988	412	337	283	243	2.1k
Jihong Kim	1.6k 0.9×	1.6k 1.6×	479 1.2×	320 0.9×	243 0.9×	153	2.5k
Yi Wang	1.2k 0.7×	705 0.7×	335 0.8×	163 0.5×	210 0.7×	119	1.6k
John D. Davis	2.4k 1.4×	1.6k 1.7×	459 1.1×	450 1.3×	219 0.8×	60	2.8k
Wei‐Kuan Shih	1.2k 0.7×	563 0.6×	311 0.8×	648 1.9×	214 0.8×	192	1.9k
David H. C. Du	1.2k 0.7×	654 0.7×	570 1.4×	300 0.9×	199 0.7×	121	1.7k
Dongkun Shin	1.3k 0.7×	1.1k 1.1×	295 0.7×	212 0.6×	170 0.6×	115	1.8k
Ching‐Tien Ho	1.2k 0.7×	646 0.7×	336 0.8×	218 0.6×	228 0.8×	68	1.6k
Mark Oskin	1.4k 0.8×	1.6k 1.6×	562 1.4×	315 0.9×	188 0.7×	80	2.4k
Sanjay J. Patel	1.3k 0.7×	1.9k 1.9×	993 2.4×	287 0.9×	115 0.4×	84	2.5k
Liang Shi	1.4k 0.8×	754 0.8×	382 0.9×	199 0.6×	189 0.7×	155	1.6k

Countries citing papers authored by Yuan-Hao Chang

Since Specialization

Citations

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

Fields of papers citing papers by Yuan-Hao Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan-Hao Chang. 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-Hao Chang. The network helps show where Yuan-Hao Chang may publish in the future.

Co-authorship network of co-authors of Yuan-Hao Chang

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