Chien‐Ming Yang

131 total papers · 2.6k total citations
70 papers, 1.9k citations indexed

About

Chien‐Ming Yang is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Chien‐Ming Yang has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Experimental and Cognitive Psychology, 44 papers in Cognitive Neuroscience and 15 papers in Endocrine and Autonomic Systems. Recurrent topics in Chien‐Ming Yang's work include Sleep and related disorders (42 papers), Sleep and Wakefulness Research (34 papers) and Youth Substance Use and School Attendance (12 papers). Chien‐Ming Yang is often cited by papers focused on Sleep and related disorders (42 papers), Sleep and Wakefulness Research (34 papers) and Youth Substance Use and School Attendance (12 papers). Chien‐Ming Yang collaborates with scholars based in Taiwan, United States and South Korea. Chien‐Ming Yang's co-authors include Diana Deacon, Arthur J. Spielman, Yu‐Shu Huang, Chih-Hsing Wu, Wen‐Hung Liao, Chung‐Ping Cheng, Hsin‐Chien Lee, Ning‐Hung Chen, Hsueh‐Yu Li and Christian Guilleminault and has published in prestigious journals such as PLoS ONE, Brain Research and Journal of Affective Disorders.

In The Last Decade

Chien‐Ming Yang

67 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Chien‐Ming Yang 1.1k 1.1k 377 234 194 70 1.9k
Thomas V. Petros 582 0.5× 589 0.6× 345 0.9× 174 0.7× 148 0.8× 76 1.8k
Rachel Epstein 1.2k 1.1× 859 0.8× 438 1.2× 174 0.7× 301 1.6× 39 2.0k
Stéphanie Bioulac 712 0.7× 766 0.7× 232 0.6× 238 1.0× 528 2.7× 66 1.9k
Marco Fabbri 1.6k 1.4× 798 0.8× 643 1.7× 221 0.9× 135 0.7× 97 2.4k
Gail R. Marsh 1.9k 1.7× 2.0k 1.9× 551 1.5× 256 1.1× 193 1.0× 43 2.7k
Monica Martoni 1.2k 1.1× 677 0.6× 418 1.1× 215 0.9× 132 0.7× 80 1.8k
Lorenzo Tonetti 1.6k 1.5× 793 0.8× 710 1.9× 216 0.9× 160 0.8× 98 2.3k
Laverne C. Johnson 949 0.9× 1.2k 1.2× 266 0.7× 141 0.6× 232 1.2× 66 2.0k
Lisa Matricciani 1.7k 1.6× 843 0.8× 324 0.9× 297 1.3× 154 0.8× 41 2.5k
Roumen Kirov 1000 0.9× 1.0k 1.0× 179 0.5× 114 0.5× 443 2.3× 51 1.9k

Countries citing papers authored by Chien‐Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Ming Yang

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