Ming‐Der Shieh

161 total papers · 1.1k total citations
114 papers, 746 citations indexed

About

Ming‐Der Shieh is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Ming‐Der Shieh has authored 114 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 43 papers in Electrical and Electronic Engineering and 30 papers in Computer Networks and Communications. Recurrent topics in Ming‐Der Shieh's work include Coding theory and cryptography (38 papers), Cryptography and Residue Arithmetic (28 papers) and Cryptography and Data Security (25 papers). Ming‐Der Shieh is often cited by papers focused on Coding theory and cryptography (38 papers), Cryptography and Residue Arithmetic (28 papers) and Cryptography and Data Security (25 papers). Ming‐Der Shieh collaborates with scholars based in Taiwan, United States and South Korea. Ming‐Der Shieh's co-authors include Wen-Ching Lin, Chin‐Long Wey, Chien‐Ming Wu, Junhong Chen, Ming‐Hwa Sheu, Yin‐Tsung Hwang, Junhong Chen, Chung‐Ho Chen, Junhong Chen and P.D. Fisher and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Ming‐Der Shieh

97 papers receiving 714 citations

Author Peers

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

Author						Papers	Cites
Ming‐Der Shieh	382	299	264	209	115	114	746
Vassilis Paliouras	238 0.6×	507 1.7×	217 0.8×	220 1.1×	147 1.3×	132	837
Frederik Armknecht	543 1.4×	234 0.8×	321 1.2×	269 1.3×	117 1.0×	54	856
Lukáš Malina	343 0.9×	174 0.6×	231 0.9×	282 1.3×	71 0.6×	85	691
René Cumplido	322 0.8×	128 0.4×	132 0.5×	135 0.6×	111 1.0×	86	710
Alan J. Michaels	413 1.1×	316 1.1×	64 0.2×	173 0.8×	101 0.9×	80	735
Tuomas Aura	242 0.6×	193 0.6×	202 0.8×	522 2.5×	94 0.8×	61	749
He Fang	329 0.9×	407 1.4×	166 0.6×	327 1.6×	93 0.8×	48	787
Liang Zhou	335 0.9×	317 1.1×	203 0.8×	385 1.8×	38 0.3×	98	738
Weiping Wang	197 0.5×	122 0.4×	194 0.7×	389 1.9×	147 1.3×	102	791
Jan Hajný	333 0.9×	119 0.4×	268 1.0×	227 1.1×	51 0.4×	87	630

Countries citing papers authored by Ming‐Der Shieh

Since Specialization

Citations

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

Fields of papers citing papers by Ming‐Der Shieh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Der Shieh. 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 Ming‐Der Shieh. The network helps show where Ming‐Der Shieh may publish in the future.

Co-authorship network of co-authors of Ming‐Der Shieh

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