Chien-Chung Chan

67 total papers · 2.0k total citations
42 papers, 642 citations indexed

About

Chien-Chung Chan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chien-Chung Chan has authored 42 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 19 papers in Artificial Intelligence and 17 papers in Information Systems. Recurrent topics in Chien-Chung Chan's work include Rough Sets and Fuzzy Logic (20 papers), Data Mining Algorithms and Applications (14 papers) and Fuzzy Logic and Control Systems (7 papers). Chien-Chung Chan is often cited by papers focused on Rough Sets and Fuzzy Logic (20 papers), Data Mining Algorithms and Applications (14 papers) and Fuzzy Logic and Control Systems (7 papers). Chien-Chung Chan collaborates with scholars based in United States, Taiwan and Canada. Chien-Chung Chan's co-authors include Wojciech Ziarko, Jerzy W. Grzymala‐Busse, Natheer Khasawneh, C. Batur, Shengyong Wang, Celal Batur, Zhong-Hui Duan, A. Srinivasan, Federico de Gregorio and Gwo‐Hshiung Tzeng and has published in prestigious journals such as Information Sciences, The International Journal of Advanced Manufacturing Technology and Engineering Applications of Artificial Intelligence.

In The Last Decade

Chien-Chung Chan

38 papers receiving 580 citations

Author Peers

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

Author						Papers	Cites
Chien-Chung Chan	313	312	284	86	71	42	642
Yuanjian Zhang	283 0.9×	191 0.6×	170 0.6×	53 0.6×	49 0.7×	37	554
Willi Klösgen	419 1.3×	182 0.6×	384 1.4×	47 0.5×	139 2.0×	27	735
Gholamreza Nakhaeizadeh	321 1.0×	210 0.7×	423 1.5×	44 0.5×	155 2.2×	19	707
Yanchang Zhao	354 1.1×	144 0.5×	371 1.3×	55 0.6×	134 1.9×	43	693
Cheng‐Jung Tsai	442 1.4×	112 0.4×	252 0.9×	95 1.1×	131 1.8×	27	766
Tapio Elomaa	392 1.3×	119 0.4×	155 0.5×	40 0.5×	79 1.1×	40	629
Andrzej Janusz	308 1.0×	186 0.6×	163 0.6×	57 0.7×	100 1.4×	48	574
Wen-Yang Lin	399 1.3×	279 0.9×	343 1.2×	41 0.5×	105 1.5×	84	752
Tu-Bao Ho	279 0.9×	90 0.3×	92 0.3×	80 0.9×	43 0.6×	41	569
Mimmo Parente	233 0.7×	145 0.5×	119 0.4×	37 0.4×	52 0.7×	63	591

Countries citing papers authored by Chien-Chung Chan

Since Specialization

Citations

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

Fields of papers citing papers by Chien-Chung Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Chung Chan. 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 Chien-Chung Chan. The network helps show where Chien-Chung Chan may publish in the future.

Co-authorship network of co-authors of Chien-Chung Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Chung Chan. A scholar is included among the top collaborators of Chien-Chung Chan 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 Chien-Chung Chan. Chien-Chung Chan 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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