Li Ai

2.3k citations
115 papers · 1.6k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Li Ai

104 papers receiving 1.6k citations

Hit Papers

Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning 2023 · 95 citations
952023202620242025255075

Peers

Li Ai
Comparison fields: 5 of 149
  • Civil and Structural Engineering 541
  • Mechanical Engineering 705
  • Mechanics of Materials 403
  • Metals and Alloys 32
  • Ocean Engineering 148
Replace Tiantian Wang with:
Tiantian Wang China
Jingjing He China
Jiayi Yan China
Danqi Li China
Xiaoxian Wang China
Nan Li China
Shaohua Li China
Tae Hee Lee South Korea
Zhenyi Liu China
Li Ai relative to Tiantian Wang China Tiantian Wang's profile →
Citations per field
00.5×10×16×
Tiantian Wang · 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 2016209
2 2017144
3 2018118
4
Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning
Hit paper breakdown →
202395
5 202366
6 202158
7 202254
8 201249
9 202343
10 201740
11 202339
12 202139
13 202035
14 201235
15 201433
16 202131
17 202230
18 201929
19 200727
20 201626

About Li Ai

Li Ai is a scholar working on Mechanics of Materials, Civil and Structural Engineering, Ocean Engineering, Mechanical Engineering and Metals and Alloys, having authored 115 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (17 papers), Non-Destructive Testing Techniques (14 papers), Geophysical Methods and Applications (12 papers), Infrastructure Maintenance and Monitoring (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 (541 citations), Mechanical Engineering (705 citations), Mechanics of Materials (403 citations), Metals and Alloys (32 citations) and Ocean Engineering (148 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, Xiaogang Wang, Haijie He and E Shuang. Their work appears in journals such as Measurement, Measurement Science and Technology, Construction and Building Materials, Mechanical Systems and Signal Processing and Composite 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026