Chi Hao Liow

15 total papers · 978 total citations
8 papers, 819 citations indexed

About

Chi Hao Liow is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Chi Hao Liow has authored 8 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 3 papers in Automotive Engineering. Recurrent topics in Chi Hao Liow's work include Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Advancements in Battery Materials (3 papers) and Machine Learning in Materials Science (3 papers). Chi Hao Liow is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Advancements in Battery Materials (3 papers) and Machine Learning in Materials Science (3 papers). Chi Hao Liow collaborates with scholars based in Singapore, United States and South Korea. Chi Hao Liow's co-authors include Shuzhou Li, Chunyan Li, Renjun Huang, Qiangbin Wang, Mengya Liu, Zhijun Zhang, Xianguang Ding, Mengxin Zhang, Yonggang Li and He Shen and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and Small.

In The Last Decade

Chi Hao Liow

8 papers receiving 810 citations

Hit Papers

Surface Plasmon Resonance... 2014 2026 2018 2022 2014 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Chi Hao Liow 520 479 234 152 147 8 819
Lu Wang 293 0.6× 350 0.7× 269 1.1× 168 1.1× 153 1.0× 15 740
Neelkanth M. Bardhan 647 1.2× 586 1.2× 125 0.5× 200 1.3× 63 0.4× 18 1.0k
David J. Goldfeld 373 0.7× 357 0.7× 119 0.5× 62 0.4× 112 0.8× 15 787
Qinhan Zhou 398 0.8× 413 0.9× 248 1.1× 92 0.6× 93 0.6× 9 829
Jiaxun Wan 415 0.8× 512 1.1× 141 0.6× 145 1.0× 95 0.6× 20 959
Qianfan Jiang 234 0.5× 325 0.7× 188 0.8× 277 1.8× 193 1.3× 11 814
Mahshid Chekini 338 0.7× 460 1.0× 198 0.8× 132 0.9× 60 0.4× 21 1.0k
Daifallah Al‐Dahyan 211 0.4× 449 0.9× 230 1.0× 297 2.0× 151 1.0× 8 886
Karrina McNamara 316 0.6× 397 0.8× 100 0.4× 89 0.6× 56 0.4× 13 784
Sandra Vranic 706 1.4× 685 1.4× 80 0.3× 267 1.8× 51 0.3× 23 1.1k

Countries citing papers authored by Chi Hao Liow

Since Specialization
Citations

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

Fields of papers citing papers by Chi Hao Liow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Hao Liow. 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 Chi Hao Liow. The network helps show where Chi Hao Liow may publish in the future.

Co-authorship network of co-authors of Chi Hao Liow

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Hao Liow. A scholar is included among the top collaborators of Chi Hao Liow 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 Chi Hao Liow. Chi Hao Liow 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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