Sue-Chen Hsueh

44 total papers · 611 total citations
24 papers, 413 citations indexed

About

Sue-Chen Hsueh is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Sue-Chen Hsueh has authored 24 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 11 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Sue-Chen Hsueh's work include Data Mining Algorithms and Applications (13 papers), Rough Sets and Fuzzy Logic (8 papers) and Advanced Database Systems and Queries (8 papers). Sue-Chen Hsueh is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Rough Sets and Fuzzy Logic (8 papers) and Advanced Database Systems and Queries (8 papers). Sue-Chen Hsueh collaborates with scholars based in Taiwan. Sue-Chen Hsueh's co-authors include Ming-Yen Lin, Pei‐Yu Lee, Junming Chen, Chia‐Wen Chang, Jing‐Jang Hwang, Jianting Li, Minghong Chen and Ping-Chun Wu and has published in prestigious journals such as Information Sciences, Electronic Commerce Research and Applications and Future Internet.

In The Last Decade

Sue-Chen Hsueh

23 papers receiving 378 citations

Author Peers

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

Author Last Decade Papers Cites
Sue-Chen Hsueh 324 165 138 107 90 24 413
Pinar Senkul 266 0.8× 149 0.9× 53 0.4× 57 0.5× 101 1.1× 30 375
Hongmei Chen 224 0.7× 74 0.4× 41 0.3× 151 1.4× 45 0.5× 40 382
M.A.W. Houtsma 213 0.7× 126 0.8× 137 1.0× 131 1.2× 150 1.7× 22 384
José-Marı́a Serrano 290 0.9× 319 1.9× 167 1.2× 91 0.9× 48 0.5× 34 488
Alaaeldin M. Hafez 151 0.5× 151 0.9× 102 0.7× 39 0.4× 77 0.9× 37 437
Marta Arias 102 0.3× 201 1.2× 62 0.4× 42 0.4× 83 0.9× 38 475
Le Gruenwald 203 0.6× 227 1.4× 82 0.6× 110 1.0× 100 1.1× 24 455
Paolo Viappiani 170 0.5× 211 1.3× 47 0.3× 125 1.2× 129 1.4× 33 458
Paul Leng 275 0.8× 277 1.7× 186 1.3× 72 0.7× 38 0.4× 48 465
Alex G. Büchner 318 1.0× 115 0.7× 21 0.2× 80 0.7× 111 1.2× 11 486

Countries citing papers authored by Sue-Chen Hsueh

Since Specialization
Citations

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

Fields of papers citing papers by Sue-Chen Hsueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue-Chen Hsueh. 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 Sue-Chen Hsueh. The network helps show where Sue-Chen Hsueh may publish in the future.

Co-authorship network of co-authors of Sue-Chen Hsueh

This figure shows the co-authorship network connecting the top 25 collaborators of Sue-Chen Hsueh. A scholar is included among the top collaborators of Sue-Chen Hsueh 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 Sue-Chen Hsueh. Sue-Chen Hsueh 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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