Gang Ai

405 citations
21 papers · 296 indexed · h-index 8
Topics
Fatigue and fracture mechanics (4 papers)Remote Sensing and LiDAR Applications (3 papers)Structural Integrity and Reliability Analysis (3 papers)
Partner nations
ChinaSingapore

In The Last Decade

Gang Ai

21 papers receiving 294 citations

Peers

Gang Ai
Comparison fields: 5 of 80
  • Modeling and Simulation 60
  • Environmental Engineering 58
  • Global and Planetary Change 56
  • Radiology, Nuclear Medicine and Imaging 55
  • Artificial Intelligence 49
Replace Darka Mioc with:
Darka Mioc Denmark
Krzysztof Pokonieczny Poland
Yalong Pi United States
Dongya Liu China
Mohamad Mazen Hittawe Saudi Arabia
Mojtaba Mahsuli Iran
Wenfei Xi China
J. Ewer United Kingdom
Mehran Javanmardi United States
Arjun Sil India
Gang Ai relative to Darka Mioc Denmark Darka Mioc's profile →
Citations per field
00.5×10×15×18.3×
Darka Mioc · 1×
Citations per year

Countries citing papers authored by Gang Ai

Since Specialization
Citations

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

Fields of papers citing papers by Gang Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ai. A scholar is included among the top collaborators of Gang Ai 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 Gang Ai. Gang Ai 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 1
2 12
3 7
4 112
5 11
6 67
7 3
8 2
9 7
10 2
11 14
12 5
13 6
14
An experimental study on the Joule-Thomson cooling effect on metal temperatures in the vicinity of a leaking through-wall crack in a pressure vessel
6
15 1
16 3
17 1
18 32
19 1
20
Research on the Interface Issue of Fiber Reinforced Thermoplastic Resin Matrix Composites
1

About Gang Ai

Gang Ai is a scholar working on Space and Planetary Science, Geology and General Materials Science, having authored 21 papers that have together received 296 indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Structural Integrity and Reliability Analysis (3 papers). The work is most often cited by research in Modeling and Simulation (60 citations), Geology (40 citations) and Health Informatics (7 citations). Gang Ai has collaborated with scholars based in China and Singapore. Frequent co-authors include Xinqi Zheng, Dongya Liu, Peipei Wang, Yi Zhang, Yu Liu, Zhongke Bai, Abhisek Ukil, C. E. Campanella, Yinghua Liu and Yueheng Zhang. Their work appears in journals such as Scientific Reports, Remote Sensing and Chaos Solitons & Fractals.

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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