Yizhao Gao

714 total citations · 1 hit paper
19 papers, 356 citations indexed

About

Yizhao Gao is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yizhao Gao has authored 19 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Yizhao Gao's work include Advanced Neural Network Applications (7 papers), CCD and CMOS Imaging Sensors (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Yizhao Gao is often cited by papers focused on Advanced Neural Network Applications (7 papers), CCD and CMOS Imaging Sensors (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Yizhao Gao collaborates with scholars based in Hong Kong, China and United States. Yizhao Gao's co-authors include Hayden Kwok‐Hay So, Nanyi Fei, Zhiwu Lu, Yuqi Huo, Haoyu Lu, Ji-Rong Wen, Xin Gao, Hao Sun, Tao Xiang and Guoxing Yang and has published in prestigious journals such as Nature Communications, Optics Letters and Optics Express.

In The Last Decade

Yizhao Gao

18 papers receiving 342 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.

Towards artificial general intelligence via a multimodal foundation model

2022 170 citations Nanyi Fei, Zhiwu Lu et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yizhao Gao Hong Kong	8	143	114	83	29	22	19	356
Muhammad Shahbaz Khan United Kingdom	8	90 0.6×	92 0.8×	48 0.6×	6 0.2×	13 0.6×	40	300
Shengfeng Pan China	5	231 1.6×	117 1.0×	34 0.4×	11 0.4×	7 0.3×	5	539
Siyuan Lu China	7	105 0.7×	83 0.7×	232 2.8×	24 0.8×	6 0.3×	13	506
Murtadha Ahmed China	6	343 2.4×	115 1.0×	32 0.4×	14 0.5×	8 0.4×	17	643
Saturnino Vicente-Díaz Spain	11	155 1.1×	118 1.0×	35 0.4×	24 0.8×	22 1.0×	20	429
Rajesh Rohilla India	9	70 0.5×	133 1.2×	32 0.4×	32 1.1×	9 0.4×	35	269
Junwei Yang China	10	143 1.0×	79 0.7×	78 0.9×	16 0.6×	2 0.1×	36	398
Sicheng Wang China	10	141 1.0×	78 0.7×	32 0.4×	5 0.2×	19 0.9×	38	331
Hemprasad Yashwant Patil India	9	115 0.8×	123 1.1×	29 0.3×	17 0.6×	2 0.1×	43	353
Zaheer Ahmed Dayo China	11	106 0.7×	215 1.9×	135 1.6×	25 0.9×	3 0.1×	30	461

Countries citing papers authored by Yizhao Gao

Since Specialization

Citations

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

Fields of papers citing papers by Yizhao Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yizhao Gao

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

19 of 19 papers shown

Gao, Yizhao, et al.. (2025). TATAA: Programmable Mixed-Precision Transformer Acceleration with a Transformable Arithmetic Architecture. ACM Transactions on Reconfigurable Technology and Systems. 18(1). 1–31. 1 indexed citations

Gao, Yizhao, et al.. (2024). A Composable Dynamic Sparse Dataflow Architecture for Efficient Event-based Vision Processing on FPGA. 246–257. 5 indexed citations

Gao, Yizhao, Chaofan Tao, Fengbin Tu, et al.. (2023). DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(5). 1613–1617. 8 indexed citations

Gao, Yizhao, et al.. (2023). Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-Integer Geometric Programming. The HKU Scholars Hub (University of Hong Kong). 83–93. 4 indexed citations

Gao, Yizhao, et al.. (2023). A Reconfigurable Architecture for Real-time Event-based Multi-Object Tracking. ACM Transactions on Reconfigurable Technology and Systems. 16(4). 1–26. 6 indexed citations

Gao, Yizhao, et al.. (2023). MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. 94–104. 4 indexed citations

Gao, Yizhao, et al.. (2023). DPACS: Hardware Accelerated Dynamic Neural Network Pruning through Algorithm-Architecture Co-design. The HKU Scholars Hub (University of Hong Kong). 237–251. 7 indexed citations

Zhou, Ge, Pei Zhang, Yizhao Gao, Hayden Kwok‐Hay So, & Edmund Y. Lam. (2022). Lens-free motion analysis via neuromorphic laser speckle imaging. Optics Express. 30(2). 2206–2206. 18 indexed citations

Zhou, Ge, Feng Xu, Yizhao Gao, et al.. (2022). Millisecond autofocusing microscopy using neuromorphic event sensing. Optics and Lasers in Engineering. 160. 107247–107247. 21 indexed citations

10.

Fei, Nanyi, Zhiwu Lu, Yizhao Gao, et al.. (2022). Towards artificial general intelligence via a multimodal foundation model. Nature Communications. 13(1). 3094–3094. 170 indexed citations breakdown →

11.

Lu, Haoyu, Nanyi Fei, Yuqi Huo, et al.. (2022). COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15671–15680. 47 indexed citations

12.

Zhou, Ge, Feng Xu, Yizhao Gao, et al.. (2022). Millisecond Autofocusing Microscopy Using Neuromorphic Event Sensing. SSRN Electronic Journal. 2 indexed citations

13.

Gao, Yizhao, et al.. (2022). REMOT. 158–168. 8 indexed citations

14.

Zhou, Ge, Yizhao Gao, Hayden Kwok‐Hay So, & Edmund Y. Lam. (2021). Event-based laser speckle correlation for micro motion estimation. Optics Letters. 46(16). 3885–3885. 21 indexed citations

15.

Dong, Zhen, Yizhao Gao, Qijing Huang, et al.. (2021). HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference. 50–59. 25 indexed citations

16.

Gao, Yizhao, Lei Liu, Guowei Chen, & Bin Lei. (2019). Drboxlight: A Light Object Detection Model for Remote Sensing Applications. 1442–1445. 3 indexed citations

17.

Liu, Lei, Zongxu Pan, Guowei Chen, & Yizhao Gao. (2019). Drbox Family: A Group of Object Detection Techniques for Remote Sensing Images. 13. 1446–1449. 1 indexed citations

18.

Huang, Qijing, Dequan Wang, Yizhao Gao, et al.. (2019). Algorithm-hardware Co-design for Deformable Convolution. 48–51. 5 indexed citations

19.

Gao, Yizhao & Mohammad Soleymani. (2004). Bandwidth-efficient transmission using nonbinary CRSC turbo codes. 3. 1617–1620.

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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