Li Ai

2.4k citations
115 papers · 1.7k · 1 hit paper · h-index 22

Impact in

Papers in

Li Ai

106 papers receiving 1.7k citations

Li Ai's Hit Papers

Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning 2023 · 109 citations
1090+1+2Years since publication255075100

Peers

Li Ai
Comparison fields: 5 of 148
  • Civil and Structural Engineering 572
  • Mechanical Engineering 725
  • Mechanics of Materials 428
  • Metals and Alloys 32
  • Ocean Engineering 154
Replace Yahui Zhang with:
Yahui Zhang China
Giuseppe Petrone Italy
Jingjing He China
Jiayi Yan China
Danqi Li China
Zhao Li China
Nan Li China
Xiaoxian Wang China
Shaohua Li China
Li Ai relative to Yahui Zhang China Yahui Zhang's profile →
Citations per field
00.5×1.5×
Yahui Zhang · 1×
Citations per year

Countries citing papers authored by Li Ai

Since Specialization
Citations

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

Fields of papers citing papers by Li Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016220
2 2017151
3 2018121
4
Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning
Hit paper breakdown →
2023109
5 202372
6 202161
7 202257
8 202350
9 201249
10 202345
11 201741
12 202139
13 202036
14 201235
15 201434
16 202132
17 202230
18 201930
19 201627
20 200727

About Li Ai

Li Ai is a scholar working on Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering, Ocean Engineering and Control and Systems Engineering, having authored 115 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (17 papers), Non-Destructive Testing Techniques (14 papers), Infrastructure Maintenance and Monitoring (12 papers), Geophysical Methods and Applications (12 papers), Structural Health Monitoring Techniques (9 papers), Advanced Algorithms and Applications (6 papers), Advanced Sensor and Control Systems (6 papers) and Cellular and Composite Structures (6 papers). The work is most often cited by research in Civil and Structural Engineering (572 citations), Mechanical Engineering (725 citations), Mechanics of Materials (428 citations), Metals and Alloys (32 citations) and Ocean Engineering (154 citations). Li Ai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include X.-L. Gao, Paul Ziehl, Vafa Soltangharaei, Mahmoud Bayat, Bin Zhang, Michel van Tooren, Chuang He, Bin Yao, Lingyun Liu and Yining Ye. Their work appears in journals such as Measurement, Construction and Building Materials, Measurement Science and Technology, Mechanical Systems and Signal Processing and Materials Letters.

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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