Phu‐Hung Dinh

20 total papers · 635 total citations
18 papers, 464 citations indexed

About

Phu‐Hung Dinh is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Phu‐Hung Dinh has authored 18 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 16 papers in Computer Vision and Pattern Recognition and 2 papers in Aerospace Engineering. Recurrent topics in Phu‐Hung Dinh's work include Advanced Image Fusion Techniques (18 papers), Image Enhancement Techniques (12 papers) and Image and Signal Denoising Methods (8 papers). Phu‐Hung Dinh is often cited by papers focused on Advanced Image Fusion Techniques (18 papers), Image Enhancement Techniques (12 papers) and Image and Signal Denoising Methods (8 papers). Phu‐Hung Dinh collaborates with scholars based in Vietnam. Phu‐Hung Dinh's co-authors include Nguyễn Long Giang, Giang Son Tran and Chi Mai Luong and has published in prestigious journals such as Expert Systems with Applications, Neural Computing and Applications and Biomedical Signal Processing and Control.

In The Last Decade

Phu‐Hung Dinh

16 papers receiving 435 citations

Author Peers

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

Author Last Decade Papers Cites
Phu‐Hung Dinh 320 270 91 57 41 18 464
Shaveta Arora 288 0.9× 118 0.4× 105 1.2× 110 1.9× 19 0.5× 30 455
Heba M. El‐Hoseny 255 0.8× 180 0.7× 60 0.7× 96 1.7× 49 1.2× 24 407
Shanto Rahman 332 1.0× 151 0.6× 50 0.5× 37 0.6× 25 0.6× 23 454
Muhammad Sharif 302 0.9× 80 0.3× 99 1.1× 103 1.8× 37 0.9× 23 432
Sheng Ren 297 0.9× 145 0.5× 144 1.6× 49 0.9× 37 0.9× 32 512
Kh Tohidul Islam 173 0.5× 66 0.2× 97 1.1× 149 2.6× 46 1.1× 22 415
Yousong Zhu 396 1.2× 109 0.4× 168 1.8× 41 0.7× 29 0.7× 17 527
Amit Choudhary 287 0.9× 155 0.6× 123 1.4× 53 0.9× 18 0.4× 24 485
Amit Verma 254 0.8× 66 0.2× 120 1.3× 54 0.9× 30 0.7× 16 441
Monika Bansal 294 0.9× 49 0.2× 115 1.3× 73 1.3× 28 0.7× 12 537

Countries citing papers authored by Phu‐Hung Dinh

Since Specialization
Citations

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

Fields of papers citing papers by Phu‐Hung Dinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phu‐Hung Dinh. 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 Phu‐Hung Dinh. The network helps show where Phu‐Hung Dinh may publish in the future.

Co-authorship network of co-authors of Phu‐Hung Dinh

This figure shows the co-authorship network connecting the top 25 collaborators of Phu‐Hung Dinh. A scholar is included among the top collaborators of Phu‐Hung Dinh 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 Phu‐Hung Dinh. Phu‐Hung Dinh 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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