Junjie Lai

594 citations
29 papers · 394 · h-index 10

Impact in

Papers in

    • Vibration Control and Rheological Fluids 11
    • Structural Engineering and Vibration Analysis 10
    • Seismic Performance and Analysis 6
    • Advanced Graph Neural Networks 3
    • Speech and dialogue systems 2
    • Natural Language Processing Techniques 2
    • Topic Modeling 2

Junjie Lai

24 papers receiving 381 citations

Peers

Junjie Lai
Comparison fields: 5 of 64
  • Civil and Structural Engineering 201
  • Modeling and Simulation 21
  • Control and Systems Engineering 67
  • Artificial Intelligence 71
  • Statistical and Nonlinear Physics 22
Replace Youxiang Xie with:
Youxiang Xie China
Daniele Casagrande Italy
Mirko Mazzoleni Italy
Rui Luo China
Daoud S. Mashat Saudi Arabia
Aleksandar Obradović Serbia
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Guoping Jiang China
S.Y. Long China
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Citations per field
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Citations per year

Countries citing papers authored by Junjie Lai

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201988
2 202252
3 201641
4 201633
5 201929
6 202225
7 201823
8 202023
9 201711
10 20139
11 20238
12 20178
13 20218
14 20226
15 20195
16 20205
17 20235
18 20174
19 20243
20 20243

About Junjie Lai

Junjie Lai is a scholar working on Civil and Structural Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 29 papers that have together received 394 indexed citations. Recurring topics across this work include Vibration Control and Rheological Fluids (11 papers), Structural Engineering and Vibration Analysis (10 papers), Seismic Performance and Analysis (6 papers), Elevator Systems and Control (4 papers), Advanced Graph Neural Networks (3 papers), Speech and dialogue systems (2 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Civil and Structural Engineering (201 citations), Modeling and Simulation (21 citations), Control and Systems Engineering (67 citations), Artificial Intelligence (71 citations) and Statistical and Nonlinear Physics (22 citations). Junjie Lai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jie Fu, Miao Yu, Peidong Li, Hak‐Keung Lam, Ziyu Lyu, Min Yang, Chengming Li, Wei Zhou, Junhong Liu and Dongxu Yang. Their work appears in journals such as Smart Materials and Structures, Microchemical Journal, Journal of Intelligent Material Systems and Structures, Clinical Chemistry and IEEE Transactions on Knowledge and Data Engineering.

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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