Li Wern Chew

44 total papers · 400 total citations
24 papers, 266 citations indexed

About

Li Wern Chew is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Li Wern Chew has authored 24 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Signal Processing. Recurrent topics in Li Wern Chew's work include Advanced Data Compression Techniques (9 papers), Electromagnetic Compatibility and Noise Suppression (8 papers) and 3D IC and TSV technologies (8 papers). Li Wern Chew is often cited by papers focused on Advanced Data Compression Techniques (9 papers), Electromagnetic Compatibility and Noise Suppression (8 papers) and 3D IC and TSV technologies (8 papers). Li Wern Chew collaborates with scholars based in Malaysia, United Kingdom and United States. Li Wern Chew's co-authors include Kah Phooi Seng and Li-Minn Ang and has published in prestigious journals such as Expert Systems with Applications, Australasian Journal of Paramedicine and Electronics Letters.

In The Last Decade

Li Wern Chew

21 papers receiving 256 citations

Author Peers

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

Author Last Decade Papers Cites
Li Wern Chew 139 93 72 61 43 24 266
Ryoichi Komiya 123 0.9× 90 1.0× 51 0.7× 50 0.8× 89 2.1× 29 291
Hima Bindu Valiveti 70 0.5× 84 0.9× 52 0.7× 86 1.4× 108 2.5× 38 323
Gengming Zhu 162 1.2× 49 0.5× 63 0.9× 32 0.5× 34 0.8× 19 275
A. Jesudoss 42 0.3× 45 0.5× 71 1.0× 33 0.5× 84 2.0× 28 255
Gregory W. Cermak 173 1.2× 96 1.0× 38 0.5× 38 0.6× 22 0.5× 21 328
Min Xu 163 1.2× 60 0.6× 91 1.3× 30 0.5× 17 0.4× 24 330
Yuan Zhang 131 0.9× 129 1.4× 62 0.9× 17 0.3× 72 1.7× 38 306
Naveed Khan Baloch 32 0.2× 97 1.0× 115 1.6× 71 1.2× 95 2.2× 19 327
Pengfei Xu 191 1.4× 35 0.4× 28 0.4× 57 0.9× 18 0.4× 19 305
Haibo Li 79 0.6× 27 0.3× 60 0.8× 21 0.3× 31 0.7× 35 213

Countries citing papers authored by Li Wern Chew

Since Specialization
Citations

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

Fields of papers citing papers by Li Wern Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Wern Chew. 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 Li Wern Chew. The network helps show where Li Wern Chew may publish in the future.

Co-authorship network of co-authors of Li Wern Chew

This figure shows the co-authorship network connecting the top 25 collaborators of Li Wern Chew. A scholar is included among the top collaborators of Li Wern Chew 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 Li Wern Chew. Li Wern Chew 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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