Li Ai

2.4k citations
120 papers · 1.8k · 1 hit paper · h-index 23

Impact in

Papers in

Li Ai

112 papers receiving 1.8k 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 152
  • Civil and Structural Engineering 580
  • Mechanical Engineering 736
  • Mechanics of Materials 433
  • Metals and Alloys 32
  • Ocean Engineering 156
Replace Jingjing He with:
Jingjing He China
Danqi Li China
Zhao Li China
Niannian Wang China
Jianmin Gao China
Tae Hee Lee South Korea
Xiaoxian Wang China
Shaohua Li China
Chao Zhang China
Li Ai relative to Jingjing He China Jingjing He's profile →
Citations per field
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Jingjing He · 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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016222
2 2017151
3 2018122
4
Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning
Hit paper breakdown →
2023109
5 198388
6 202373
7 202162
8 202258
9 202350
10 201250
11 202345
12 201741
13 202139
14 201237
15 202037
16 201434
17 202132
18 201932
19 202230
20 201828

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 120 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (18 papers), Non-Destructive Testing Techniques (15 papers), Infrastructure Maintenance and Monitoring (12 papers), Geophysical Methods and Applications (12 papers), Structural Health Monitoring Techniques (10 papers), Advanced Algorithms and Applications (7 papers), Cellular and Composite Structures (7 papers) and Advanced Sensor and Control Systems (6 papers). The work is most often cited by research in Civil and Structural Engineering (580 citations), Mechanical Engineering (736 citations), Mechanics of Materials (433 citations), Metals and Alloys (32 citations) and Ocean Engineering (156 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, Michael Kifer, Bin Zhang, Michel van Tooren, Chuang He, 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 Nuclear Engineering and Design.

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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