Jian Lai

1.2k total citations · 1 hit paper
22 papers, 853 citations indexed

About

Jian Lai is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Jian Lai has authored 22 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 5 papers in Artificial Intelligence. Recurrent topics in Jian Lai's work include Face and Expression Recognition (12 papers), Face recognition and analysis (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Jian Lai is often cited by papers focused on Face and Expression Recognition (12 papers), Face recognition and analysis (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Jian Lai collaborates with scholars based in China, Singapore and Hong Kong. Jian Lai's co-authors include Xudong Jiang, Pong C. Yuen, Guocan Feng, Qian Song, Wei Ao, Haipeng Wang, Feng Xu, Yu Chen, Kun Tan and Jian Huang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and IEEE Transactions on Image Processing.

In The Last Decade

Jian Lai

21 papers receiving 821 citations

Hit Papers

FUSAR-Ship: building a high-resolution SAR-AIS matchup da... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition
    2020 201 citations Wei Ao, Qian Song et al. Science China Information Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jian Lai China 14 463 214 151 144 108 22 853
Kun Sun China 18 594 1.3× 131 0.6× 242 1.6× 133 0.9× 21 0.2× 54 905
Stuart Perry Australia 14 321 0.7× 118 0.6× 51 0.3× 89 0.6× 66 0.6× 56 851
Ying Yu China 18 344 0.7× 159 0.7× 177 1.2× 246 1.7× 18 0.2× 68 925
Kie B. Eom United States 13 278 0.6× 122 0.6× 52 0.3× 222 1.5× 60 0.6× 39 605
Shiming Xiang China 7 668 1.4× 261 1.2× 79 0.5× 363 2.5× 45 0.4× 14 1.0k
Jindong Xu China 15 276 0.6× 136 0.6× 44 0.3× 236 1.6× 88 0.8× 75 722

Countries citing papers authored by Jian Lai

Since Specialization
Citations

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

Fields of papers citing papers by Jian Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Lai. A scholar is included among the top collaborators of Jian Lai 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 Jian Lai. Jian Lai 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
1.
Tian, Yang, et al.. (2024). A new uncertainty processing method for trajectory prediction. Applied Intelligence. 54(15-16). 7418–7438. 1 indexed citations
2.
Lai, Jian, et al.. (2023). Microstructure and Fracture Behaviors of Oscillating Laser Welded 5A06 Aluminum Alloy Lock Butt Joint. Applied Sciences. 13(6). 3381–3381. 1 indexed citations
3.
Li, Xin, Zhenlin Hu, Jian Lai, et al.. (2023). A new understanding of laser-arc plasma interaction of hybrid welding based on arc layering behaviors. Journal of Manufacturing Processes. 88. 125–133. 14 indexed citations
4.
Cao, Jin Xin, et al.. (2022). BR-GAN: A Pedestrian Trajectory Prediction Model Combined With Behavior Recognition. IEEE Transactions on Intelligent Transportation Systems. 23(12). 24609–24620. 15 indexed citations
5.
Chen, Lihan, Jian Lai, Kun Tan, et al.. (2021). Development of a soil heavy metal estimation method based on a spectral index: Combining fractional-order derivative pretreatment and the absorption mechanism. The Science of The Total Environment. 813. 151882–151882. 61 indexed citations
6.
Ao, Wei, et al.. (2020). FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition. Science China Information Sciences. 63(4). 201 indexed citations breakdown →
7.
Lai, Jian, Wee Kheng Leow, Terence Sim, & Vaishali Sharma. (2016). Think big, solve small: Scaling up robust PCA with coupled dictionaries. 54. 1–8.
8.
Leow, Wee Kheng, Guodong Li, Jian Lai, Terence Sim, & Vaishali Sharma. (2016). Hide and seek: Uncovering facial occlusion with variable-threshold robust PCA. 26. 1–8. 3 indexed citations
9.
Lai, Jian & Xudong Jiang. (2016). Classwise Sparse and Collaborative Patch Representation for Face Recognition. IEEE Transactions on Image Processing. 25(7). 3261–3272. 39 indexed citations
10.
Lai, Jian & Xudong Jiang. (2014). Supervised trace lasso for robust face recognition. DR-NTU (Nanyang Technological University). 1–6. 7 indexed citations
11.
Jiang, Xudong & Jian Lai. (2014). Sparse and Dense Hybrid Representation via Dictionary Decomposition for Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(5). 1067–1079. 120 indexed citations
12.
Lai, Jian & Xudong Jiang. (2013). Robust face recognition using trimmed linear regression. 2979–2983. 4 indexed citations
13.
Lai, Jian, et al.. (2013). NEIWalk: Community Discovery in Dynamic Content-Based Networks. IEEE Transactions on Knowledge and Data Engineering. 26(7). 1734–1748. 51 indexed citations
14.
Lai, Jian & Xudong Jiang. (2013). Discriminative sparsity preserving embedding for face recognition. 3695–3699. 13 indexed citations
15.
Lai, Jian & Xudong Jiang. (2012). Modular Weighted Global Sparse Representation for Robust Face Recognition. IEEE Signal Processing Letters. 19(9). 571–574. 34 indexed citations
16.
Huang, Jian, Pong C. Yuen, Wen-Sheng Chen, & Jian Lai. (2007). Choosing Parameters of Kernel Subspace LDA for Recognition of Face Images Under Pose and Illumination Variations. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(4). 847–862. 57 indexed citations
17.
Lai, Jian & Pong C. Yuen. (2006). FACE AND EYE DETECTION FROM HEAD AND SHOULDER IMAGE ON MOBILE DEVICES. International Journal of Pattern Recognition and Artificial Intelligence. 20(7). 1053–1075. 1 indexed citations
18.
Huang, Jian, Pong C. Yuen, Jian Lai, & Chun-hung Li. (2004). Face Recognition Using Local and Global Features. EURASIP Journal on Advances in Signal Processing. 2004(4). 14 indexed citations
19.
Lai, Jian, et al.. (2003). NEURAL NETWORK ANALYSIS OF ENVIRONMENTAL CONDITIONS INFLUENCING CABBAGE SEEDLING QUALITY. Transactions of the ASAE. 46(2). 3 indexed citations
20.
Lai, Jian, et al.. (2002). Robust facial feature point detection under nonlinear illuminations. 16. 168–174. 20 indexed citations

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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