Cheng-Hao Kuo

903 total citations
14 papers, 558 citations indexed

About

Cheng-Hao Kuo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Aerospace Engineering. According to data from OpenAlex, Cheng-Hao Kuo has authored 14 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 3 papers in Aerospace Engineering. Recurrent topics in Cheng-Hao Kuo's work include Video Surveillance and Tracking Methods (5 papers), Face recognition and analysis (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Cheng-Hao Kuo is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Face recognition and analysis (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Cheng-Hao Kuo collaborates with scholars based in United States, Germany and Switzerland. Cheng-Hao Kuo's co-authors include Ramakant Nevatia, Ram Nevatia, Chang Huang, Sameh Khamis, Vinay Shet, Douglas Fidaleo, Jongmoo Choi, Gérard Medioni, Li Zhang and Li Zhang and has published in prestigious journals such as Image and Vision Computing, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and IEEE Robotics and Automation Letters.

In The Last Decade

Cheng-Hao Kuo

12 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng-Hao Kuo United States	8	517	138	72	58	49	14	558
Ben Benfold United Kingdom	7	564 1.1×	215 1.6×	52 0.7×	43 0.7×	80 1.6×	8	638
R. Lengagne France	8	596 1.2×	144 1.0×	54 0.8×	100 1.7×	97 2.0×	14	676
Yongxin Yang China	5	571 1.1×	83 0.6×	195 2.7×	19 0.3×	55 1.1×	10	654
Csaba Beleznai Austria	11	323 0.6×	83 0.6×	35 0.5×	36 0.6×	33 0.7×	34	411
Sébastien Ambellouis France	10	175 0.3×	101 0.7×	61 0.8×	94 1.6×	50 1.0×	29	322
Weijian Ruan China	11	551 1.1×	85 0.6×	118 1.6×	31 0.5×	105 2.1×	34	647
S.L. Dockstader United States	8	356 0.7×	107 0.8×	91 1.3×	49 0.8×	61 1.2×	18	420
Alessio Mecca Italy	9	204 0.4×	100 0.7×	118 1.6×	37 0.6×	70 1.4×	17	353

Countries citing papers authored by Cheng-Hao Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Cheng-Hao Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Hao Kuo. 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 Cheng-Hao Kuo. The network helps show where Cheng-Hao Kuo may publish in the future.

Co-authorship network of co-authors of Cheng-Hao Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Hao Kuo. A scholar is included among the top collaborators of Cheng-Hao Kuo 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 Cheng-Hao Kuo. Cheng-Hao Kuo 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:

14 of 14 papers shown

Basak, Hritam, Mingfeng Li, Xin Yang, et al.. (2025). Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors. 9987–9994.

Chen, Fu‐Chen, Wenhao Chai, Che-Chun Su, et al.. (2025). Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression. 19424–19434. 1 indexed citations

Liang, Jing, et al.. (2024). PoCo: Point Context Cluster for RGBD Indoor Place Recognition. 14180–14187.

Zhang, Ke, Albert Y. Chen, Jiajia Luo, et al.. (2024). ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation. 2982–2991. 8 indexed citations

Kuo, Cheng-Hao, et al.. (2023). SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments. IEEE Robotics and Automation Letters. 8(6). 3709–3716. 6 indexed citations

Tu, Tao, et al.. (2023). ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection. 6973–6984. 5 indexed citations

Luo, Jiajia, Ke Zhang, Yuyin Sun, et al.. (2022). A polar-edge context-aware (PECA) network for mirror segmentation. Image and Vision Computing. 121. 104402–104402. 4 indexed citations

Kuo, Cheng-Hao, Sameh Khamis, & Vinay Shet. (2013). Person re-identification using semantic color names and RankBoost. 281–287. 61 indexed citations

Kuo, Cheng-Hao & Ram Nevatia. (2011). How does person identity recognition help multi-person tracking?. 151 indexed citations

10.

Kuo, Cheng-Hao, Chang Huang, & Ramakant Nevatia. (2010). Multi-target tracking by on-line learned discriminative appearance models. 685–692. 209 indexed citations

11.

Kuo, Cheng-Hao & Ramakant Nevatia. (2009). Robust multi-view car detection using unsupervised sub-categorization. 1–8. 40 indexed citations

12.

Medioni, Gérard, Jongmoo Choi, Cheng-Hao Kuo, & Douglas Fidaleo. (2008). Identifying Noncooperative Subjects at a Distance Using Face Images and Inferred Three-Dimensional Face Models. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 39(1). 12–24. 43 indexed citations

13.

Medioni, Gérard, et al.. (2007). Recognition of Non-Cooperative Individuals at a Distance with 3D Face Modeling. 112–117. 16 indexed citations

14.

Medioni, Gérard, et al.. (2007). Non-Cooperative Persons Identification at a Distance with 3D Face Modeling. 37. 1–6. 14 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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