Frank P.-W. Lo

47 total papers · 1.5k total citations
35 papers, 948 citations indexed

About

Frank P.-W. Lo is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Frank P.-W. Lo has authored 35 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Biomedical Engineering and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Frank P.-W. Lo's work include Nutritional Studies and Diet (6 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Vision and Imaging (4 papers). Frank P.-W. Lo is often cited by papers focused on Nutritional Studies and Diet (6 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Vision and Imaging (4 papers). Frank P.-W. Lo collaborates with scholars based in United Kingdom, China and United States. Frank P.-W. Lo's co-authors include Benny Lo, Yingnan Sun, Jianing Qiu, Wu Yuan, Peilun Shi, Bo Xiao, Wei Hao, Jiankai Sun, Kyle Lam and Dong Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Frank P.-W. Lo

33 papers receiving 924 citations

Author Peers

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

Author Last Decade Papers Cites
Frank P.-W. Lo 233 201 185 153 141 35 948
Beatriz Remeseiro 142 0.6× 182 0.9× 219 1.2× 48 0.3× 331 2.3× 48 1.1k
Min Hong 155 0.7× 47 0.2× 213 1.2× 46 0.3× 99 0.7× 107 994
Wellington Pinheiro dos Santos 112 0.5× 95 0.5× 198 1.1× 31 0.2× 350 2.5× 111 1.1k
Prabha Sundaravadivel 155 0.7× 33 0.2× 145 0.8× 105 0.7× 68 0.5× 58 802
Yuji Ayatsuka 78 0.3× 67 0.3× 416 2.2× 95 0.6× 28 0.2× 21 869
Ke Xu 403 1.7× 26 0.1× 48 0.3× 56 0.4× 46 0.3× 60 846
Muhammad Bilal Amin 128 0.5× 52 0.3× 245 1.3× 157 1.0× 175 1.2× 36 933
Nora El-Rashidy 86 0.4× 33 0.2× 75 0.4× 51 0.3× 296 2.1× 46 820
Enrique Garcia-Ceja 104 0.4× 15 0.1× 280 1.5× 32 0.2× 249 1.8× 27 976
Sheikh Nooruddin 262 1.1× 13 0.1× 384 2.1× 76 0.5× 216 1.5× 17 847

Countries citing papers authored by Frank P.-W. Lo

Since Specialization
Citations

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

Fields of papers citing papers by Frank P.-W. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank P.-W. Lo. 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 Frank P.-W. Lo. The network helps show where Frank P.-W. Lo may publish in the future.

Co-authorship network of co-authors of Frank P.-W. Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Frank P.-W. Lo. A scholar is included among the top collaborators of Frank P.-W. Lo 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 Frank P.-W. Lo. Frank P.-W. Lo 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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