Ting Liao

73 total papers · 984 total citations
41 papers, 705 citations indexed

About

Ting Liao is a scholar working on Mechanical Engineering, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Ting Liao has authored 41 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 6 papers in Social Psychology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Ting Liao's work include Sustainable Supply Chain Management (4 papers), Extraction and Separation Processes (4 papers) and Stroke Rehabilitation and Recovery (3 papers). Ting Liao is often cited by papers focused on Sustainable Supply Chain Management (4 papers), Extraction and Separation Processes (4 papers) and Stroke Rehabilitation and Recovery (3 papers). Ting Liao collaborates with scholars based in United States, China and Malaysia. Ting Liao's co-authors include Ya Chen, Xichang Shi, Baizhen Chen, Qianqiu Tian, Yunguo Liu, Xinjiang Hu, Tingting Li, Hui Wang, Ming Lü and Qingqing Peng and has published in prestigious journals such as Chemical Engineering Journal, Medicine & Science in Sports & Exercise and Frontiers in Microbiology.

In The Last Decade

Ting Liao

34 papers receiving 687 citations

Author Peers

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

Author Last Decade Papers Cites
Ting Liao 293 179 174 138 95 41 705
Jean Mulopo 178 0.6× 202 1.1× 127 0.7× 66 0.5× 101 1.1× 52 823
Jianrui Zha 165 0.6× 210 1.2× 108 0.6× 90 0.7× 112 1.2× 24 803
Yue-Hwa Yu 128 0.4× 217 1.2× 239 1.4× 200 1.4× 50 0.5× 33 819
He He 133 0.5× 104 0.6× 156 0.9× 111 0.8× 133 1.4× 40 816
Wenqing Chen 137 0.5× 126 0.7× 256 1.5× 109 0.8× 65 0.7× 44 667
George Stalidis 185 0.6× 161 0.9× 198 1.1× 59 0.4× 25 0.3× 55 716
Qian Li 281 1.0× 269 1.5× 139 0.8× 100 0.7× 112 1.2× 50 786
Yaowei Zhang 52 0.2× 233 1.3× 116 0.7× 57 0.4× 37 0.4× 45 802
Jacquetta Lee 119 0.4× 92 0.5× 93 0.5× 203 1.5× 131 1.4× 25 747
Xue Liang 81 0.3× 102 0.6× 204 1.2× 354 2.6× 65 0.7× 23 894

Countries citing papers authored by Ting Liao

Since Specialization
Citations

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

Fields of papers citing papers by Ting Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting Liao. 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 Ting Liao. The network helps show where Ting Liao may publish in the future.

Co-authorship network of co-authors of Ting Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Liao. A scholar is included among the top collaborators of Ting Liao 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 Ting Liao. Ting Liao 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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