Kai Liu

5.0k total citations · 1 hit paper
270 papers, 3.5k citations indexed

About

Kai Liu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Kai Liu has authored 270 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Vision and Pattern Recognition, 64 papers in Electrical and Electronic Engineering and 63 papers in Media Technology. Recurrent topics in Kai Liu's work include Image Processing Techniques and Applications (40 papers), Optical measurement and interference techniques (39 papers) and Advanced Vision and Imaging (36 papers). Kai Liu is often cited by papers focused on Image Processing Techniques and Applications (40 papers), Optical measurement and interference techniques (39 papers) and Advanced Vision and Imaging (36 papers). Kai Liu collaborates with scholars based in China, United States and South Korea. Kai Liu's co-authors include Andrés Tovar, Daniel L. Lau, Laurence G. Hassebrook, Yongchang Wang, Qi Hao, Xiaomin Yang, Gwanggil Jeon, Zhong Jin, Juan M. Morales and Antonio J. Conejo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Engineering Journal.

In The Last Decade

Kai Liu

237 papers receiving 3.3k citations

Hit Papers

An efficient 3D topology optimization code written in Matlab 2014 2026 2018 2022 2014 100 200 300 400
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. An efficient 3D topology optimization code written in Matlab
    2014 472 citations Kai Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Liu China 26 1.4k 860 564 549 465 270 3.5k
Du‐Ming Tsai Taiwan 41 2.5k 1.9× 1.1k 1.3× 206 0.4× 644 1.2× 592 1.3× 113 4.7k
Wei Chen China 38 1.5k 1.1× 399 0.5× 187 0.3× 1.9k 3.4× 350 0.8× 467 5.5k
Zhiping Lin Singapore 42 1.8k 1.3× 512 0.6× 164 0.3× 887 1.6× 160 0.3× 392 7.1k
Zhiqin Zhu China 32 2.1k 1.6× 1.5k 1.8× 96 0.2× 417 0.8× 315 0.7× 136 4.3k
Jing Chen China 27 1.2k 0.9× 400 0.5× 245 0.4× 496 0.9× 211 0.5× 286 2.7k
Ding Liu China 32 3.8k 2.8× 1.5k 1.8× 240 0.4× 231 0.4× 103 0.2× 122 5.7k
Kalle Åström Sweden 35 1.8k 1.3× 329 0.4× 146 0.3× 524 1.0× 302 0.6× 268 4.5k
Gongguo Tang United States 24 1.1k 0.8× 292 0.3× 279 0.5× 824 1.5× 67 0.1× 88 3.9k
Nojun Kwak South Korea 29 2.3k 1.7× 349 0.4× 63 0.1× 233 0.4× 183 0.4× 151 4.4k
Alessandro Giusti Switzerland 30 2.1k 1.6× 299 0.3× 94 0.2× 697 1.3× 309 0.7× 139 5.2k

Countries citing papers authored by Kai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Liu. A scholar is included among the top collaborators of Kai Liu 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 Kai Liu. Kai Liu 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.
Liu, Kai, Jian Guo, T.J. Craft, & Shan Zhong. (2025). Novel herringbone riblets for mitigating flow separation in a linear diffuser cascade. Aerospace Science and Technology. 164. 110390–110390.
2.
Liu, Zhe, Donglai Wang, Sukumar Letchmunan, Kai Liu, & Yulong Huang. (2025). Applications of interval-valued pythagorean fuzzy trigonometric similarity measures in multicriteria decision-making and medical diagnosis. International Journal of Knowledge-based and Intelligent Engineering Systems.
3.
4.
Lau, Daniel L., et al.. (2024). Fast phase matching based on order partition with sub-pixel accuracy. Optics Communications. 573. 131010–131010.
5.
Liu, Kai & Ting Fu. (2024). Linearly-fitted energy-mass-preserving schemes for Korteweg–de Vries equations. Journal of Computational and Applied Mathematics. 448. 115914–115914.
6.
Liu, Kai, et al.. (2024). Fringe photometric stereo. Optica. 11(11). 1482–1482. 3 indexed citations
7.
Qiu, Gao, Junyong Liu, Youbo Liu, et al.. (2024). Topology-Transferable Physics-Guided Graph Neural Network for Real-Time Optimal Power Flow. IEEE Transactions on Industrial Informatics. 20(9). 10857–10872. 8 indexed citations
8.
9.
Liu, Changying & Kai Liu. (2023). A fourth-order energy-preserving and symmetric average vector field integrator with low regularity assumption. Journal of Computational and Applied Mathematics. 439. 115605–115605.
10.
Liu, Kai, Mingjun Wang, Chong Chen, et al.. (2023). Three-dimensional thermal-hydraulic characteristics analysis of plate-type fuel reactor core based on OpenFOAM. Progress in Nuclear Energy. 160. 104712–104712. 5 indexed citations
11.
Lau, Daniel L., et al.. (2023). Adaptive phase measuring profilometry for robustly detecting saturated pixels. Optics Communications. 552. 130061–130061. 4 indexed citations
12.
13.
Lau, Daniel L., et al.. (2022). Circular fringe projection profilometry and 3D sensitivity analysis based on extended epipolar geometry. Optics and Lasers in Engineering. 162. 107403–107403. 8 indexed citations
14.
Luo, Linhao, et al.. (2022). DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating. Neural Computing and Applications. 34(8). 6413–6425. 1 indexed citations
15.
Liu, Kai, et al.. (2022). Symmetrical Epipolar Features Over Normalized Camera/Projector Calibration Matrices for Real-Time Structured Light Illumination. IEEE Signal Processing Letters. 29. 2268–2272. 3 indexed citations
16.
Chen, Yu, et al.. (2022). HQ2CL: A High-Quality Class Center Learning System for Deep Face Recognition. IEEE Transactions on Image Processing. 31. 5359–5370. 2 indexed citations
17.
Yang, Xiaomei, et al.. (2021). Rosette Trajectories for Fast MRI Based on an Adaptive Reconstruction Method. IEEE Access. 9. 35164–35177. 1 indexed citations
18.
Yang, Xiaomei, et al.. (2021). Compressed Sensing MRI by Integrating Deep Denoiser and Weighted Schatten P-Norm Minimization. IEEE Signal Processing Letters. 29. 21–25. 9 indexed citations
19.
Liu, Kai, et al.. (2015). Effect of pulsed electric field on spontaneous photon emission of corn seedlings under osmotic stress.. Nongye gongcheng xuebao. 31(3). 319–324. 1 indexed citations
20.
Liu, Kai. (2011). The establishment method discussion and analysis of the finite element modeling of aerial ropeway route stand based on ANSYS. Modern Machinery. 1 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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