Jian‐Guo Dai

20.6k citations
390 papers · 16.5k indexed · 18 hit papers · h-index 72

Jian‐Guo Dai

363 papers receiving 16.1k citations

Hit Papers

Green...562005202620122019100200300400

Peers

Jian‐Guo Dai
Comparison fields: 5 of 158
  • Building and Construction 10.1k
  • Civil and Structural Engineering 14.4k
  • Nuclear Energy and Engineering 42
  • Ceramics and Composites 437
  • Environmental Engineering 989
Replace Kamal H. Khayat with:
Kamal H. Khayat United States
Qiang Yuan China
Mingzhong Zhang United Kingdom
Klaas van Breugel Netherlands
Hongyan Ma China
Erik Schlangen Netherlands
Zhong Tao China
Kejin Wang United States
Wengui Li Australia
Denvid Lau Hong Kong
Jian‐Guo Dai relative to Kamal H. Khayat United States Kamal H. Khayat's profile →
Citations per field
00.5×2.8×
Kamal H. Khayat · 1×
Citations per year

Countries citing papers authored by Jian‐Guo Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Guo Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian‐Guo Dai. 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 Jian‐Guo Dai. The network helps show where Jian‐Guo Dai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jian‐Guo Dai, 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 Jian‐Guo Dai Line = papers co-authored together Jian‐Guo Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20256
2 20250
3 20253
4 202411
5 202426
6 202424
7 20245
8 20246
9
Thin-layer Ultra-High-Strength Engineered Cementitious Composites (UHS-ECC) reinforced with small-diameter FRP bars for structural strengtheningbreakdown →
202468
10 20246
11 202431
12 202456
13 202411
14 202416
15 202325
16 202339
17 202377
18 202314
19 20232
20 201944

About Jian‐Guo Dai

Jian‐Guo Dai is a scholar working on Building and Construction, Civil and Structural Engineering and General Engineering, having authored 390 papers that have together received 16.5k indexed citations. Recurring topics across this work include Structural Behavior of Reinforced Concrete (171 papers), Innovative concrete reinforcement materials (133 papers), Concrete Corrosion and Durability (126 papers), Concrete and Cement Materials Research (120 papers), Magnesium Oxide Properties and Applications (43 papers), Structural Load-Bearing Analysis (43 papers), Structural Response to Dynamic Loads (37 papers) and Recycling and utilization of industrial and municipal waste in materials production (23 papers). The work is most often cited by research in Building and Construction (10.1k citations), Civil and Structural Engineering (14.4k citations) and Nuclear Energy and Engineering (42 citations). Jian‐Guo Dai has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include Bo-Tao Huang, J.G. Teng, Yazan Alrefaei, Tamon Ueda, Wan-Yang Gao, Ling-Yu Xu, Yanshuai Wang, Chi Sun Poon, Yasuhiko Sato and Zhou-Dao Lu. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

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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