Chi Hao Liow

984 total citations · 1 hit paper
8 papers, 823 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 823 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), Machine Learning in Materials Science (3 papers) and Advancements in Battery Materials (3 papers). Chi Hao Liow is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Machine Learning in Materials Science (3 papers) and Advancements in Battery Materials (3 papers). Chi Hao Liow collaborates with scholars based in Singapore, South Korea and United States. Chi Hao Liow's co-authors include Shuzhou Li, Mengya Liu, Nan Gao, Yonggang Li, Renjun Huang, Mengxin Zhang, Zhijun Zhang, Qiangbin Wang, Xianguang Ding and Jiang Jiang 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 813 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surface Plasmon Resonance Enhanced Light Absorption and Photothermal Therapy in the Second Near-Infrared Window

2014 637 citations Xianguang Ding, Chi Hao Liow et al. Journal of the American Chemical Society profile →

Peers

Chi Hao Liow

BE

MC

EOMM

EEE

RESE

Luntao Liu China

Sandra Vranic United Kingdom

Feng Du China

Jiaqi Xu China

Mengmeng Deng China

Văn Hiếu Nguyễn Vietnam

Yiyi Xu China

Wei Sun Leong Singapore

Wanxia Wu China

Luntao Liu China

Chi Hao Liow

380 ×0.7

BE

177 ×0.4

MC

73 ×0.3

EOMM

150 ×1.0

EEE

67 ×0.5

RESE

Citations per year, relative to Chi Hao Liow Chi Hao Liow (= 1×) peers Luntao Liu

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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8 of 8 papers shown

1.

Oh, Jimin, et al.. (2024). Composition and state prediction of lithium-ion cathode via convolutional neural network trained on scanning electron microscopy images. npj Computational Materials. 10(1). 5 indexed citations

2.

Liow, Chi Hao, Hyeonmuk Kang, Moony Na, et al.. (2022). Machine learning assisted synthesis of lithium-ion batteries cathode materials. Nano Energy. 98. 107214–107214. 61 indexed citations

3.

Liow, Chi Hao, Hyeonmuk Kang, Moony Na, et al.. (2021). Machine Learning Assisted Synthesis of Lithium-Ion Batteries Cathode Materials. SSRN Electronic Journal. 2 indexed citations

4.

Liow, Chi Hao, Xin Lu, Kaiyang Zeng, Shuzhou Li, & Ghim Wei Ho. (2019). Optically Governed Dynamic Surface Charge Redistribution of Hybrid Plasmo‐Pyroelectric Nanosystems. Small. 15(36). e1903042–e1903042. 19 indexed citations

5.

Tan, Chuan Fu, Zhihui Chen, Chi Hao Liow, et al.. (2018). Inverse Stellation of CuAu-ZnO Multimetallic-Semiconductor Nanostartube for Plasmon-Enhanced Photocatalysis. ACS Nano. 12(5). 4512–4520. 65 indexed citations

6.

Liow, Chi Hao, Xin Lu, Chuan Fu Tan, et al.. (2017). Spatially Probed Plasmonic Photothermic Nanoheater Enhanced Hybrid Polymeric–Metallic PVDF‐Ag Nanogenerator. Small. 14(7). 29 indexed citations

7.

Ding, Xianguang, Chi Hao Liow, Mengxin Zhang, et al.. (2014). Surface Plasmon Resonance Enhanced Light Absorption and Photothermal Therapy in the Second Near-Infrared Window. Journal of the American Chemical Society. 136(44). 15684–15693. 637 indexed citations breakdown →

8.

Liow, Chi Hao, et al.. (2011). Mechanical and thermal properties of palm-based polyurethane composites filled with Fe3O4, PANI and PANI/Fe3O 4. Sains Malaysiana. 40(4). 373–378. 5 indexed citations

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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