Chi-Chao Chang

29 total papers · 491 total citations
20 papers, 259 citations indexed

About

Chi-Chao Chang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Chi-Chao Chang has authored 20 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 7 papers in Artificial Intelligence. Recurrent topics in Chi-Chao Chang's work include Distributed systems and fault tolerance (8 papers), Parallel Computing and Optimization Techniques (8 papers) and Distributed and Parallel Computing Systems (4 papers). Chi-Chao Chang is often cited by papers focused on Distributed systems and fault tolerance (8 papers), Parallel Computing and Optimization Techniques (8 papers) and Distributed and Parallel Computing Systems (4 papers). Chi-Chao Chang collaborates with scholars based in United States, Taiwan and Jordan. Chi-Chao Chang's co-authors include Thorsten von Eicken, Grzegorz Czajkowski, Chris Hawblitzel, Tzonelih Hwang, Héctor García-Molina, Chun‐Li Lin, Tian‐Fu Lee, Ravi Kumar, John Chen and Azarakhsh Malekian and has published in prestigious journals such as ACM SIGPLAN Notices, IEEE Transactions on Consumer Electronics and Software Practice and Experience.

In The Last Decade

Chi-Chao Chang

19 papers receiving 213 citations

Author Peers

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

Author						Papers	Cites
Chi-Chao Chang	169	157	86	68	56	20	259
Josyula R. Rao	118 0.7×	163 1.0×	84 1.0×	35 0.5×	47 0.8×	20	247
Daniel Waddington	229 1.4×	81 0.5×	62 0.7×	82 1.2×	18 0.3×	32	304
William R. Marczak	220 1.3×	93 0.6×	153 1.8×	43 0.6×	36 0.6×	13	301
Terrance Goan	277 1.6×	163 1.0×	63 0.7×	39 0.6×	127 2.3×	13	330
Zhi Fu	259 1.5×	159 1.0×	57 0.7×	32 0.5×	134 2.4×	17	286
Amir R. Khakpour	243 1.4×	112 0.7×	51 0.6×	66 1.0×	36 0.6×	23	288
Zhuhua Cai	155 0.9×	139 0.9×	165 1.9×	23 0.3×	101 1.8×	16	324
Per Brand	233 1.4×	116 0.7×	58 0.7×	56 0.8×	15 0.3×	26	300
Micha Moffie	132 0.8×	94 0.6×	84 1.0×	74 1.1×	54 1.0×	17	284
Byungchul Park	299 1.8×	190 1.2×	58 0.7×	60 0.9×	53 0.9×	26	324

Countries citing papers authored by Chi-Chao Chang

Since Specialization

Citations

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

Fields of papers citing papers by Chi-Chao Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi-Chao Chang

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