Chao Jiang

10.3k citations
319 papers · 8.2k indexed · 1 hit paper · h-index 47

Chao Jiang

300 papers receiving 8.0k citations

Hit Papers

Probing the phase transformation and dislocation evolutio...259201820262020202350100150200250

Peers

Chao Jiang
Comparison fields: 5 of 159
  • Statistics, Probability and Uncertainty 3.8k
  • Civil and Structural Engineering 3.3k
  • Computational Theory and Mathematics 1.7k
  • Mechanics of Materials 2.0k
  • Mechanical Engineering 2.5k
Replace Ramana V. Grandhi with:
Ramana V. Grandhi United States
Byeng D. Youn South Korea
Shun‐Peng Zhu China
Bo Wang China
Isaac Elishakoff United States
Zhen Hu United States
Wei Gao Australia
Kyung K. Choi United States
Nam Ho Kim United States
Sondipon Adhikari United Kingdom
Chao Jiang relative to Ramana V. Grandhi United States Ramana V. Grandhi's profile →
Citations per field
00.5×
Ramana V. Grandhi · 1×
Citations per year

Countries citing papers authored by Chao Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Chao Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao Jiang. 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 Chao Jiang. The network helps show where Chao Jiang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20244
4 202413
5 20241
6 202411
7 20242
8 20242
9 20245
10 202420
11 20240
12 202325
13 202319
14 20232
15 20233
16 20239
17 20235
18 20238
19 202311
20 201717

About Chao Jiang

Chao Jiang is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Mechanics of Materials, Computational Theory and Mathematics and Mechanical Engineering, having authored 319 papers that have together received 8.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (121 papers), Structural Health Monitoring Techniques (57 papers), Fatigue and fracture mechanics (46 papers), Advanced Multi-Objective Optimization Algorithms (46 papers), Topology Optimization in Engineering (21 papers), High Entropy Alloys Studies (19 papers), High Temperature Alloys and Creep (16 papers) and Microstructure and Mechanical Properties of Steels (15 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.8k citations), Civil and Structural Engineering (3.3k citations), Computational Theory and Mathematics (1.7k citations), Mechanics of Materials (2.0k citations) and Mechanical Engineering (2.5k citations). Chao Jiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xu Han, Bingyu Ni, Jie Liu, Dequan Zhang, Z. Zhang, J. Liu, Qihong Fang, X.G. Wang, Yingchun Bai and Guo‐Dong Lu. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal of Fatigue, Applied Mathematical Modelling, Mechanical Systems and Signal Processing and Computers & 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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