Kai-Hui Chang

61 total papers · 649 total citations
43 papers, 450 citations indexed

About

Kai-Hui Chang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Kai-Hui Chang has authored 43 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Hardware and Architecture, 30 papers in Electrical and Electronic Engineering and 16 papers in Computational Theory and Mathematics. Recurrent topics in Kai-Hui Chang's work include VLSI and Analog Circuit Testing (32 papers), Formal Methods in Verification (16 papers) and VLSI and FPGA Design Techniques (14 papers). Kai-Hui Chang is often cited by papers focused on VLSI and Analog Circuit Testing (32 papers), Formal Methods in Verification (16 papers) and VLSI and FPGA Design Techniques (14 papers). Kai-Hui Chang collaborates with scholars based in United States, Taiwan and Russia. Kai-Hui Chang's co-authors include Igor L. Markov, Valeria Bertacco, Sy‐Yen Kuo, Ilya Wagner, Stephen M. Plaza, Jie-Hong R. Jiang, David Papa, Yen‐Ting Liu, Chia-Wei Chang and Alan Mishchenko and has published in prestigious journals such as Computer, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ACM Transactions on Design Automation of Electronic Systems.

In The Last Decade

Kai-Hui Chang

39 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Kai-Hui Chang	358	300	152	117	23	43	450
James R. Armstrong	252 0.7×	262 0.9×	47 0.3×	81 0.7×	19 0.8×	57	445
Kuang-Chien Chen	358 1.0×	318 1.1×	176 1.2×	55 0.5×	8 0.3×	28	412
Harry Foster	336 0.9×	203 0.7×	205 1.3×	182 1.6×	44 1.9×	29	476
Robert Damiano	216 0.6×	128 0.4×	197 1.3×	121 1.0×	12 0.5×	27	460
Vigyan Singhal	261 0.7×	194 0.6×	331 2.2×	134 1.1×	20 0.9×	27	518
Thomas R. Shiple	313 0.9×	133 0.4×	349 2.3×	136 1.2×	13 0.6×	17	470
M. Damiani	313 0.9×	336 1.1×	77 0.5×	26 0.2×	9 0.4×	41	466
Ilya Wagner	370 1.0×	326 1.1×	67 0.4×	103 0.9×	25 1.1×	24	485
J.C. Madre	189 0.5×	148 0.5×	339 2.2×	230 2.0×	41 1.8×	20	513
Feng Lu	369 1.0×	303 1.0×	154 1.0×	86 0.7×	7 0.3×	23	433

Countries citing papers authored by Kai-Hui Chang

Since Specialization

Citations

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

Fields of papers citing papers by Kai-Hui Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai-Hui Chang

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