Thanh Sang-To

32 total papers · 892 total citations
20 papers, 608 citations indexed

About

Thanh Sang-To is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Thanh Sang-To has authored 20 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Civil and Structural Engineering, 6 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Thanh Sang-To's work include Structural Health Monitoring Techniques (11 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Thanh Sang-To is often cited by papers focused on Structural Health Monitoring Techniques (11 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Thanh Sang-To collaborates with scholars based in Vietnam, Belgium and Australia. Thanh Sang-To's co-authors include Thanh Cuong‐Le, Hoang-Le Minh, Magd Abdel Wahab, Samir Khatir, Seyedali Mirjalili, Khuong D. Nguyen, Guy Théraulaz, Maosen Cao, Yifei Li and Quoc Thien Huynh and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Engineering Structures.

In The Last Decade

Thanh Sang-To

19 papers receiving 601 citations

Author Peers

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

Author						Papers	Cites
Thanh Sang-To	277	154	96	95	73	20	608
Saeed Asil Gharebaghi	183 0.7×	127 0.8×	69 0.7×	152 1.6×	70 1.0×	30	576
Charles‐Philippe Lamarche	256 0.9×	135 0.9×	93 1.0×	74 0.8×	105 1.4×	25	502
Yongsu Jung	217 0.8×	49 0.3×	197 2.1×	66 0.7×	131 1.8×	24	642
Houpu Yao	174 0.6×	83 0.5×	45 0.5×	100 1.1×	133 1.8×	21	547
David Greiner	132 0.5×	91 0.6×	159 1.7×	45 0.5×	51 0.7×	38	516
L. Le-Anh	385 1.4×	132 0.9×	201 2.1×	275 2.9×	32 0.4×	19	646
Samir Tiachacht	367 1.3×	75 0.5×	37 0.4×	197 2.1×	119 1.6×	20	577
Atin Roy	274 1.0×	45 0.3×	112 1.2×	90 0.9×	49 0.7×	16	620
Rui Teixeira	198 0.7×	66 0.4×	122 1.3×	82 0.9×	56 0.8×	32	598
J. Salajegheh	523 1.9×	120 0.8×	129 1.3×	90 0.9×	52 0.7×	38	680

Countries citing papers authored by Thanh Sang-To

Since Specialization

Citations

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

Fields of papers citing papers by Thanh Sang-To

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thanh Sang-To. 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 Thanh Sang-To. The network helps show where Thanh Sang-To may publish in the future.

Co-authorship network of co-authors of Thanh Sang-To

This figure shows the co-authorship network connecting the top 25 collaborators of Thanh Sang-To. A scholar is included among the top collaborators of Thanh Sang-To 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 Thanh Sang-To. Thanh Sang-To 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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