Kuan-Hui Lee

695 total citations
11 papers, 394 citations indexed

About

Kuan-Hui Lee is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Geometry and Topology. According to data from OpenAlex, Kuan-Hui Lee has authored 11 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 3 papers in Geometry and Topology. Recurrent topics in Kuan-Hui Lee's work include Geometry and complex manifolds (3 papers), Geometric Analysis and Curvature Flows (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). Kuan-Hui Lee is often cited by papers focused on Geometry and complex manifolds (3 papers), Geometric Analysis and Curvature Flows (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). Kuan-Hui Lee collaborates with scholars based in United States, Switzerland and Taiwan. Kuan-Hui Lee's co-authors include Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles, Boxiao Pan, De-An Huang, Zhangjie Cao, Bingbin Liu, Vitor Guizilini, Rareş Ambruş and Boris Ivanovic and has published in prestigious journals such as Advances in Mathematics, Nonlinear Analysis and IEEE Robotics and Automation Letters.

In The Last Decade

Kuan-Hui Lee

10 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuan-Hui Lee United States	6	291	130	90	63	31	11	394
Irtiza Hasan Italy	6	186 0.6×	116 0.9×	69 0.8×	53 0.8×	28 0.9×	12	256
Wentong Liao Germany	9	302 1.0×	58 0.4×	117 1.3×	30 0.5×	33 1.1×	17	406
Taylor Mordan Switzerland	6	142 0.5×	65 0.5×	95 1.1×	33 0.5×	11 0.4×	11	216
Antonio Prioletti Italy	8	203 0.7×	160 1.2×	59 0.7×	35 0.6×	24 0.8×	10	326
Pasquale Coscia Italy	7	98 0.3×	94 0.7×	91 1.0×	47 0.7×	36 1.2×	20	233
Mourad A. Kenk Egypt	6	184 0.6×	54 0.4×	48 0.5×	24 0.4×	24 0.8×	12	256
Onay Urfalıoǧlu Germany	6	128 0.4×	90 0.7×	74 0.8×	17 0.3×	17 0.5×	16	248
Christophe Blanc France	9	172 0.6×	83 0.6×	88 1.0×	19 0.3×	15 0.5×	19	286
Srikanth Malla United States	6	179 0.6×	148 1.1×	68 0.8×	19 0.3×	23 0.7×	7	280
Dzmitry Tsishkou France	6	133 0.5×	136 1.0×	58 0.6×	37 0.6×	56 1.8×	19	247

Countries citing papers authored by Kuan-Hui Lee

Since Specialization

Citations

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

Fields of papers citing papers by Kuan-Hui Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan-Hui Lee. 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 Kuan-Hui Lee. The network helps show where Kuan-Hui Lee may publish in the future.

Co-authorship network of co-authors of Kuan-Hui Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan-Hui Lee. A scholar is included among the top collaborators of Kuan-Hui Lee 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 Kuan-Hui Lee. Kuan-Hui Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Lee, Kuan-Hui. (2025). The linear stability of non-Kähler Calabi-Yau metrics. Advances in Mathematics. 477. 110366–110366.

2.

Lee, Kuan-Hui. (2023). The Stability of Generalized Ricci Solitons. Journal of Geometric Analysis. 33(9). 5 indexed citations

3.

Lee, Kuan-Hui. (2023). Stability and moduli space of generalized Ricci solitons. Nonlinear Analysis. 240. 113458–113458. 2 indexed citations

4.

Guizilini, Vitor, Kuan-Hui Lee, Rareş Ambruş, & Adrien Gaidon. (2022). Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics and Automation Letters. 7(2). 3491–3498. 32 indexed citations

5.

Ivanovic, Boris, Kuan-Hui Lee, Pavel Tokmakov, et al.. (2022). Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 12196–12203. 29 indexed citations

6.

Liu, Bingbin, Ehsan Adeli, Zhangjie Cao, et al.. (2020). Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. IEEE Robotics and Automation Letters. 5(2). 3485–3492. 125 indexed citations

7.

Pan, Boxiao, De-An Huang, Kuan-Hui Lee, et al.. (2020). Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. 10867–10876. 165 indexed citations

8.

Nishiyama, Daisuke, Yi Ouyang, Guy Rosman, et al.. (2020). Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. 1–8. 4 indexed citations

9.

Lee, Kuan-Hui, et al.. (2018). Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association. 465–470. 13 indexed citations

10.

Tsai, Yi‐Hsuan, et al.. (2017). Learning to tell brake and turn signals in videos using CNN-LSTM structure. 1–6. 16 indexed citations

11.

Lee, Kuan-Hui & Pau‐Choo Chung. (2013). An attention emphasized bit arrangement in 3-D SPIHT video coding for human vision. Journal of Visual Communication and Image Representation. 24(3). 255–269. 3 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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