Ying‐Chieh Liu

72 total papers · 1.1k total citations
43 papers, 820 citations indexed

About

Ying‐Chieh Liu is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Ying‐Chieh Liu has authored 43 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in Ying‐Chieh Liu's work include Design Education and Practice (8 papers), Augmented Reality Applications (5 papers) and Cancer-related molecular mechanisms research (4 papers). Ying‐Chieh Liu is often cited by papers focused on Design Education and Practice (8 papers), Augmented Reality Applications (5 papers) and Cancer-related molecular mechanisms research (4 papers). Ying‐Chieh Liu collaborates with scholars based in Taiwan, India and United Kingdom. Ying‐Chieh Liu's co-authors include Amaresh Chakrabarti, Thomas P. Bligh, Ay Su, Po‐Ju Chen, Yu‐Sheng Lin, Kuo‐Wei Chang, Shu‐Chun Lin, Sherry Yueh‐Hsia Chiu, Chung‐Ji Liu and Kim Hua Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Fuel.

In The Last Decade

Ying‐Chieh Liu

40 papers receiving 775 citations

Author Peers

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

Author Last Decade Papers Cites
Ying‐Chieh Liu 202 153 141 138 91 43 820
Shuai Ma 180 0.9× 68 0.4× 100 0.7× 134 1.0× 65 0.7× 71 996
Sung-Hee Kim 333 1.6× 41 0.3× 30 0.2× 92 0.7× 35 0.4× 67 1.0k
Junming Chen 138 0.7× 54 0.4× 99 0.7× 44 0.3× 69 0.8× 115 1.0k
Peng Chen 265 1.3× 43 0.3× 137 1.0× 159 1.2× 42 0.5× 60 826
Maria Grazia Violante 117 0.6× 175 1.1× 93 0.7× 133 1.0× 49 0.5× 40 1.0k
Lei Jing 202 1.0× 26 0.2× 93 0.7× 286 2.1× 90 1.0× 101 801
Miguel Lorenzo 74 0.4× 273 1.8× 45 0.3× 139 1.0× 37 0.4× 60 779
Sharon Lynn Chu 83 0.4× 119 0.8× 73 0.5× 238 1.7× 134 1.5× 72 730
Wanwan Li 213 1.1× 97 0.6× 25 0.2× 243 1.8× 76 0.8× 83 957
Agnieszka Pręgowska 81 0.4× 99 0.6× 63 0.4× 67 0.5× 22 0.2× 48 706

Countries citing papers authored by Ying‐Chieh Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Chieh Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Chieh Liu. 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 Ying‐Chieh Liu. The network helps show where Ying‐Chieh Liu may publish in the future.

Co-authorship network of co-authors of Ying‐Chieh Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Chieh Liu. A scholar is included among the top collaborators of Ying‐Chieh Liu 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 Ying‐Chieh Liu. Ying‐Chieh Liu 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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