L. Minh Dang

88 total papers · 3.6k total citations
70 papers, 2.4k citations indexed

About

L. Minh Dang is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Civil and Structural Engineering. According to data from OpenAlex, L. Minh Dang has authored 70 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 16 papers in Plant Science and 14 papers in Civil and Structural Engineering. Recurrent topics in L. Minh Dang's work include Smart Agriculture and AI (16 papers), Infrastructure Maintenance and Monitoring (13 papers) and Water Systems and Optimization (10 papers). L. Minh Dang is often cited by papers focused on Smart Agriculture and AI (16 papers), Infrastructure Maintenance and Monitoring (13 papers) and Water Systems and Optimization (10 papers). L. Minh Dang collaborates with scholars based in South Korea, Vietnam and China. L. Minh Dang's co-authors include Hyeonjoon Moon, Hanxiang Wang, Md. Jalil Piran, Kyungbok Min, Yanfen Li, Hyeonjoon Moon, Dongil Han, Cheol Hee Lee, Tan N. Nguyen and Syed Ibrahim Hassan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

L. Minh Dang

63 papers receiving 2.3k citations

Hit Papers

Sensor-based and vision-b... 2019 2026 2021 2023 2020 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
L. Minh Dang 826 521 353 316 308 70 2.4k
Hyeonjoon Moon 971 1.2× 584 1.1× 297 0.8× 490 1.6× 344 1.1× 90 3.0k
Muhammad Shoaib 1.3k 1.6× 271 0.5× 441 1.2× 357 1.1× 463 1.5× 67 2.6k
Hanxiang Wang 563 0.7× 386 0.7× 123 0.3× 369 1.2× 423 1.4× 73 2.7k
Erdal Kayacan 799 1.0× 331 0.6× 368 1.0× 297 0.9× 1.2k 3.8× 150 4.5k
Qi Zhao 1.4k 1.7× 114 0.2× 302 0.9× 115 0.4× 410 1.3× 79 2.7k
Jian Yao 2.2k 2.7× 775 1.5× 125 0.4× 94 0.3× 368 1.2× 155 4.3k
Qinggang Meng 1.7k 2.1× 420 0.8× 810 2.3× 168 0.5× 579 1.9× 164 4.1k
Yu Cao 451 0.5× 929 1.8× 149 0.4× 45 0.1× 277 0.9× 94 2.5k
Zhong‐Qiu Zhao 2.6k 3.1× 196 0.4× 109 0.3× 341 1.1× 953 3.1× 71 4.8k
Fernando Auat Cheein 538 0.7× 228 0.4× 137 0.4× 1.1k 3.6× 136 0.4× 169 3.1k

Countries citing papers authored by L. Minh Dang

Since Specialization
Citations

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

Fields of papers citing papers by L. Minh Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Minh Dang. 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 L. Minh Dang. The network helps show where L. Minh Dang may publish in the future.

Co-authorship network of co-authors of L. Minh Dang

This figure shows the co-authorship network connecting the top 25 collaborators of L. Minh Dang. A scholar is included among the top collaborators of L. Minh Dang 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 L. Minh Dang. L. Minh Dang 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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