Thanh Sang-To

916 citations
21 papers · 624 indexed · h-index 13
Topics
Structural Health Monitoring Techniques (11 papers)Advanced Multi-Objective Optimization Algorithms (6 papers)Metaheuristic Optimization Algorithms Research (5 papers)
Partner nations
VietnamBelgiumAustralia

In The Last Decade

Thanh Sang-To

19 papers receiving 615 citations

Peers

Thanh Sang-To
Comparison fields: 5 of 87
  • Civil and Structural Engineering 282
  • Artificial Intelligence 158
  • Mechanics of Materials 98
  • Computational Theory and Mathematics 97
  • Mechanical Engineering 76
Replace Saeed Asil Gharebaghi with:
Saeed Asil Gharebaghi Iran
Dieu T.T. South Korea
Hoang-Le Minh Vietnam
Rahul Khandelwal India
Shaowu Zhou China
Zhenghao Ding China
Serdar Çarbaş Türkiye
Songtao Xue China
Thanh Sang-To relative to Saeed Asil Gharebaghi Iran Saeed Asil Gharebaghi's profile →
Citations per field
00.5×3.9×
Saeed Asil Gharebaghi · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 3
5 11
6 8
7 53
8 13
9 6
10 78
11 26
12 69
13 39
14 79
15 41
16 27
17 54
18 24
19 7
20 22

About Thanh Sang-To

Thanh Sang-To is a scholar working on Civil and Structural Engineering, Computational Theory and Mathematics and Safety, Risk, Reliability and Quality, having authored 21 papers that have together received 624 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (11 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). The work is most often cited by research in Civil and Structural Engineering (282 citations), Computational Theory and Mathematics (97 citations) and Artificial Intelligence (158 citations). Thanh Sang-To has collaborated with scholars based in Vietnam, Belgium and Australia. Frequent co-authors include Thanh Cuong‐Le, Hoang-Le Minh, Magd Abdel Wahab, Samir Khatir, Seyedali Mirjalili, Guy Théraulaz, Khuong D. Nguyen, Yifei Li, Maosen Cao and Amir H. Gandomi. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Engineering Structures.

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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