Luyl-Da Quach

66 total papers · 635 total citations
38 papers, 317 citations indexed

About

Luyl-Da Quach is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Luyl-Da Quach has authored 38 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Analytical Chemistry. Recurrent topics in Luyl-Da Quach's work include Smart Agriculture and AI (14 papers), Advanced Neural Network Applications (11 papers) and Spectroscopy and Chemometric Analyses (7 papers). Luyl-Da Quach is often cited by papers focused on Smart Agriculture and AI (14 papers), Advanced Neural Network Applications (11 papers) and Spectroscopy and Chemometric Analyses (7 papers). Luyl-Da Quach collaborates with scholars based in Vietnam, Malaysia and Italy. Luyl-Da Quach's co-authors include Hoang Ngoc Tran, Chi-Ngon Nguyen, Anh Nguyễn Quỳnh, Nghia Duong‐Trung, Nguyen Thai-Nghe, Minh‐Hoang Nguyen, Tri Gia Nguyen, Tran Duc Chung, Mohd Fadzil Hassan and Rosdiazli Ibrahim and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Data in Brief.

In The Last Decade

Luyl-Da Quach

32 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Luyl-Da Quach	121	88	52	40	36	38	317
Ukrit Watchareeruetai	137 1.1×	147 1.7×	38 0.7×	30 0.8×	50 1.4×	31	342
Liping Zhang	111 0.9×	44 0.5×	47 0.9×	59 1.5×	10 0.3×	25	314
M. C. García‐Alegre	59 0.5×	46 0.5×	22 0.4×	18 0.5×	49 1.4×	35	268
P. Supriya	56 0.5×	96 1.1×	23 0.4×	28 0.7×	44 1.2×	57	311
Usha Mittal	77 0.6×	126 1.4×	35 0.7×	25 0.6×	42 1.2×	28	348
Sang‐Yong Rhee	115 1.0×	87 1.0×	48 0.9×	7 0.2×	29 0.8×	43	290
Jeonghyun Baek	52 0.4×	192 2.2×	17 0.3×	60 1.5×	44 1.2×	32	313
Caicong Wu	141 1.2×	72 0.8×	12 0.2×	13 0.3×	13 0.4×	48	330
Jin Gao	203 1.7×	32 0.4×	45 0.9×	11 0.3×	13 0.4×	27	349
Sergey Gataullin	58 0.5×	39 0.4×	28 0.5×	14 0.3×	45 1.3×	33	269

Countries citing papers authored by Luyl-Da Quach

Since Specialization

Citations

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

Fields of papers citing papers by Luyl-Da Quach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luyl-Da Quach. 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 Luyl-Da Quach. The network helps show where Luyl-Da Quach may publish in the future.

Co-authorship network of co-authors of Luyl-Da Quach

This figure shows the co-authorship network connecting the top 25 collaborators of Luyl-Da Quach. A scholar is included among the top collaborators of Luyl-Da Quach 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 Luyl-Da Quach. Luyl-Da Quach 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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