Chih-Wen Shih

53 total papers · 956 total citations
42 papers, 753 citations indexed

About

Chih-Wen Shih is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Chih-Wen Shih has authored 42 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 24 papers in Statistical and Nonlinear Physics and 8 papers in Molecular Biology. Recurrent topics in Chih-Wen Shih's work include Neural Networks Stability and Synchronization (17 papers), stochastic dynamics and bifurcation (16 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). Chih-Wen Shih is often cited by papers focused on Neural Networks Stability and Synchronization (17 papers), stochastic dynamics and bifurcation (16 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). Chih-Wen Shih collaborates with scholars based in Taiwan, United States and China. Chih-Wen Shih's co-authors include Chang‐Yuan Cheng, Chih-Hsuan Wang, Song-Sun Lin, Chih-wen Weng, Avner Friedman, Yu‐Chi Lee, Ying-Cheng Lai, Qiye Li, Liang Zhao and Ching‐Hung Lee and has published in prestigious journals such as Neural Computation, IEEE Transactions on Neural Networks and Learning Systems and Journal of Mathematical Analysis and Applications.

In The Last Decade

Chih-Wen Shih

39 papers receiving 725 citations

Author Peers

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

Author						Papers	Cites
Chih-Wen Shih	514	343	241	134	71	42	753
Mustafa Mamat	234 0.5×	510 1.5×	123 0.5×	79 0.6×	22 0.3×	55	859
Peng Zhang	143 0.3×	453 1.3×	163 0.7×	50 0.4×	13 0.2×	50	854
W. S. Mada Sanjaya	145 0.3×	271 0.8×	115 0.5×	68 0.5×	29 0.4×	91	644
Zhongfu Wu	534 1.0×	313 0.9×	311 1.3×	109 0.8×	44 0.6×	30	752
Giuseppe Mangioni	120 0.2×	293 0.9×	102 0.4×	23 0.2×	17 0.2×	55	735
Chenbo Fu	251 0.5×	357 1.0×	256 1.1×	111 0.8×	36 0.5×	37	720
Xiao Luo	291 0.6×	380 1.1×	93 0.4×	89 0.7×	51 0.7×	35	705
Fuzhong Nian	300 0.6×	498 1.5×	139 0.6×	50 0.4×	18 0.3×	95	811
Rubén J. Sánchez-García	143 0.3×	215 0.6×	74 0.3×	225 1.7×	42 0.6×	28	694
Toshinori Munakata	127 0.2×	119 0.3×	311 1.3×	143 1.1×	31 0.4×	38	863

Countries citing papers authored by Chih-Wen Shih

Since Specialization

Citations

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

Fields of papers citing papers by Chih-Wen Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih-Wen Shih. 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 Chih-Wen Shih. The network helps show where Chih-Wen Shih may publish in the future.

Co-authorship network of co-authors of Chih-Wen Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Chih-Wen Shih. A scholar is included among the top collaborators of Chih-Wen Shih 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 Chih-Wen Shih. Chih-Wen Shih 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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