D. Dinh-Cong

848 citations
27 papers · 725 · h-index 16

Impact in

Papers in

D. Dinh-Cong

26 papers receiving 717 citations

Peers

D. Dinh-Cong
Comparison fields: 5 of 52
  • Civil and Structural Engineering 618
  • Statistics, Probability and Uncertainty 111
  • Mechanics of Materials 241
  • Computer Vision and Pattern Recognition 90
  • Mechanical Engineering 126
Replace Seyed Sina Kourehli with:
Seyed Sina Kourehli Iran
Bartłomiej Błachowski Poland
Rongrong Hou China
H. Dang-Trung Vietnam
Anne Teughels Belgium
Wei‐Xin Ren China
Parsa Ghannadi Iran
Patrícia da Silva Lopes Alexandrino Brazil
Zhen Chen China
Wang‐Ji Yan China
D. Dinh-Cong relative to Seyed Sina Kourehli Iran Seyed Sina Kourehli's profile →
Citations per field
00.5×2.6×
Seyed Sina Kourehli · 1×
Citations per year

Countries citing papers authored by D. Dinh-Cong

Since Specialization
Citations

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

Fields of papers citing papers by D. Dinh-Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Dinh-Cong. 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 D. Dinh-Cong. The network helps show where D. Dinh-Cong may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Dinh-Cong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Dinh-Cong Line = papers co-authored together D. Dinh-Cong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 202069
3 201862
4 201758
5 201842
6 202041
7 201838
8 201936
9 201632
10 202027
11 201927
12 201826
13 201725
14 202125
15 202122
16 202120
17 202315
18 201815
19 20199
20 20199

About D. Dinh-Cong

D. Dinh-Cong is a scholar working on Civil and Structural Engineering, Mechanics of Materials, Statistics, Probability and Uncertainty, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 27 papers that have together received 725 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (24 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Probabilistic and Robust Engineering Design (8 papers), Concrete Corrosion and Durability (6 papers), Infrastructure Maintenance and Monitoring (6 papers), Optical measurement and interference techniques (6 papers), Topology Optimization in Engineering (3 papers) and Structural Integrity and Reliability Analysis (3 papers). The work is most often cited by research in Civil and Structural Engineering (618 citations), Statistics, Probability and Uncertainty (111 citations), Mechanics of Materials (241 citations), Computer Vision and Pattern Recognition (90 citations) and Mechanical Engineering (126 citations). D. Dinh-Cong has collaborated with scholars based in Vietnam, United States and Thailand. Frequent co-authors include T. Nguyen‐Thoi, T. Vo-Duy, V. Ho-Huu, H. Dang-Trung, Duc T. Nguyen, Jaehong Lee, Vinyas Mahesh, Huy Quang Lê, Ngo Van Hoa and Thanh-Phong Dao. Their work appears in journals such as Engineering With Computers, Advances in Engineering Software, Applied Soft Computing, Structures and Frontiers of Structural and Civil Engineering.

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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