Kaiyong Zhao

3.1k total citations · 1 hit paper
30 papers, 1.8k citations indexed

About

Kaiyong Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Kaiyong Zhao has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Kaiyong Zhao's work include Advanced Vision and Imaging (7 papers), Caching and Content Delivery (6 papers) and Stochastic Gradient Optimization Techniques (4 papers). Kaiyong Zhao is often cited by papers focused on Advanced Vision and Imaging (7 papers), Caching and Content Delivery (6 papers) and Stochastic Gradient Optimization Techniques (4 papers). Kaiyong Zhao collaborates with scholars based in Hong Kong, China and Canada. Kaiyong Zhao's co-authors include Xiaowen Chu, Xin He, Qiang Wang, Shaohuai Shi, Xinxin Mei, Jiming Liu, Zhenheng Tang, Chengwen Zhong, Qinjian Li and Yuxin Wang and has published in prestigious journals such as Bioinformatics, Knowledge-Based Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Kaiyong Zhao

29 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

AutoML: A survey of the state-of-the-art

2020 964 citations Xin He, Kaiyong Zhao et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaiyong Zhao Hong Kong	15	864	421	270	211	181	30	1.8k
Marc Parizeau Canada	22	831 1.0×	542 1.3×	260 1.0×	150 0.7×	320 1.8×	52	2.4k
Zne-Jung Lee Taiwan	20	973 1.1×	339 0.8×	317 1.2×	157 0.7×	181 1.0×	73	2.1k
Byung-Ro Moon South Korea	17	869 1.0×	250 0.6×	190 0.7×	140 0.7×	214 1.2×	75	1.6k
Sheng‐De Wang Taiwan	19	945 1.1×	756 1.8×	464 1.7×	136 0.6×	260 1.4×	126	2.5k
Conor Ryan Ireland	21	1.6k 1.8×	203 0.5×	167 0.6×	400 1.9×	361 2.0×	190	2.7k
Julio Ortega Spain	26	1.4k 1.6×	245 0.6×	448 1.7×	102 0.5×	364 2.0×	133	2.5k
Ayed Salman Kuwait	16	1.2k 1.4×	402 1.0×	261 1.0×	57 0.3×	165 0.9×	48	2.1k
Simone A. Ludwig United States	21	887 1.0×	205 0.5×	486 1.8×	75 0.4×	194 1.1×	127	1.9k
Jinfeng Yi United States	23	1.9k 2.2×	719 1.7×	167 0.6×	161 0.8×	152 0.8×	58	2.6k

Countries citing papers authored by Kaiyong Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Kaiyong Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyong Zhao

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

20 of 20 papers shown

Yan, Qingsong, Qiang Wang, Kaiyong Zhao, et al.. (2025). RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories. 13133–13140.

Yan, Qingsong, Qiang Wang, Kaiyong Zhao, et al.. (2024). CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6440–6448. 5 indexed citations

Yan, Qingsong, Qiang Wang, Kaiyong Zhao, et al.. (2023). Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3091–3099. 9 indexed citations

Xu, Zidong, Hao Wang, & Kaiyong Zhao. (2023). Study on the EPSD of Wind-Induced Responses of the Sutong Bridge Using Harmonic Wavelets. International Journal of Structural Stability and Dynamics. 23(16n18). 5 indexed citations

Yan, Qingsong, et al.. (2022). SphereDepth: Panorama Depth Estimation from Spherical Domain. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–10. 1 indexed citations

Wang, Qiang, et al.. (2021). IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 14 indexed citations

He, Xin, Kaiyong Zhao, & Xiaowen Chu. (2020). AutoML: A survey of the state-of-the-art. Knowledge-Based Systems. 212. 106622–106622. 964 indexed citations breakdown →

Wang, Qiang, et al.. (2020). FADNet: A Fast and Accurate Network for Disparity Estimation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 101–107. 56 indexed citations

Wang, Yuxin, Qiang Wang, Shaohuai Shi, et al.. (2019). Benchmarking the Performance and Power of AI Accelerators for AI Training. arXiv (Cornell University). 7 indexed citations

10.

Wang, Yuxin, Qiang Wang, Shaohuai Shi, et al.. (2019). Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models. arXiv (Cornell University). 1 indexed citations

11.

Wang, Kai, et al.. (2019). Vision-based Robotic Grasp Detection From Object Localization, Object Pose Estimation To Grasp Estimation: A Review. arXiv (Cornell University). 4 indexed citations

12.

Wang, Qiang, et al.. (2019). IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation.. arXiv (Cornell University). 10 indexed citations

13.

Mei, Xinxin, et al.. (2013). A measurement study of GPU DVFS on energy conservation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–5. 73 indexed citations

14.

Li, Qinjian, Chengwen Zhong, Kai Li, et al.. (2013). A parallel lattice Boltzmann method for large eddy simulation on multiple GPUs. Computing. 96(6). 479–501. 6 indexed citations

15.

Zhao, Kaiyong, et al.. (2012). Speeding up k-Means algorithm by GPUs. Journal of Computer and System Sciences. 79(2). 216–229. 56 indexed citations

16.

Li, Qinjian, Chengwen Zhong, Kai Li, et al.. (2012). Implementation of a Lattice Boltzmann Method for Large Eddy Simulation on Multiple GPUs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 818–823. 2 indexed citations

17.

Liu, Chi-Man, Thomas K. F. Wong, Edward Wu, et al.. (2012). SOAP3: ultra-fast GPU-based parallel alignment tool for short reads. Bioinformatics. 28(6). 878–879. 150 indexed citations

18.

Chu, Xiaowen, Kaiyong Zhao, & Zongpeng Li. (2011). Tsunami: massively parallel homomorphic hashing on many‐core GPUs. Concurrency and Computation Practice and Experience. 24(17). 2028–2039. 3 indexed citations

19.

Struthers, Allan, Zhe Sun, Zhuo Feng, et al.. (2011). Employing graphics processing unit technology, alternating direction implicit method and domain decomposition to speed up the numerical diffusion solver for the biomedical engineering research. International Journal for Numerical Methods in Biomedical Engineering. 27(11). 1829–1849. 17 indexed citations

20.

Chu, Xiaowen, Kaiyong Zhao, & Mea Wang. (2008). Massively Parallel Network Coding on GPUs. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 144–151. 25 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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