Jui-Ming Chang

21 total papers · 771 total citations
10 papers, 570 citations indexed

About

Jui-Ming Chang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Jui-Ming Chang has authored 10 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hardware and Architecture, 6 papers in Electrical and Electronic Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Jui-Ming Chang's work include Embedded Systems Design Techniques (8 papers), Parallel Computing and Optimization Techniques (6 papers) and Low-power high-performance VLSI design (5 papers). Jui-Ming Chang is often cited by papers focused on Embedded Systems Design Techniques (8 papers), Parallel Computing and Optimization Techniques (6 papers) and Low-power high-performance VLSI design (5 papers). Jui-Ming Chang collaborates with scholars based in United States. Jui-Ming Chang's co-authors include Massoud Pedram and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Proceedings - ACM IEEE Design Automation Conference.

In The Last Decade

Jui-Ming Chang

10 papers receiving 527 citations

Author Peers

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

Author Last Decade Papers Cites
Jui-Ming Chang 441 410 186 48 21 10 570
M.K. Gowan 472 1.1× 367 0.9× 186 1.0× 36 0.8× 13 0.6× 9 596
B.D. McCredie 561 1.3× 280 0.7× 180 1.0× 37 0.8× 30 1.4× 21 698
M. Pearce 414 0.9× 378 0.9× 223 1.2× 115 2.4× 16 0.8× 6 596
N. James 483 1.1× 290 0.7× 67 0.4× 60 1.3× 10 0.5× 10 522
J. Montanaro 449 1.0× 412 1.0× 241 1.3× 116 2.4× 22 1.0× 10 645
D. Murray 372 0.8× 334 0.8× 194 1.0× 105 2.2× 15 0.7× 4 531
Philip N. Strenski 471 1.1× 326 0.8× 127 0.7× 35 0.7× 34 1.6× 12 594
Richard T. Witek 424 1.0× 406 1.0× 249 1.3× 114 2.4× 18 0.9× 13 632
D. Dobberpuhl 411 0.9× 346 0.8× 193 1.0× 121 2.5× 17 0.8× 8 567
Soumya Eachempati 434 1.0× 333 0.8× 465 2.5× 31 0.6× 26 1.2× 14 641

Countries citing papers authored by Jui-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jui-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jui-Ming Chang

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