Wang Gao

503 total citations
15 papers, 350 citations indexed

About

Wang Gao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Wang Gao has authored 15 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Media Technology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Wang Gao's work include Advanced Vision and Imaging (3 papers), Image Processing Techniques and Applications (3 papers) and Genetic Associations and Epidemiology (2 papers). Wang Gao is often cited by papers focused on Advanced Vision and Imaging (3 papers), Image Processing Techniques and Applications (3 papers) and Genetic Associations and Epidemiology (2 papers). Wang Gao collaborates with scholars based in China, United States and Australia. Wang Gao's co-authors include Jie Mei, Ming‐Ming Cheng, Yuchen He, Zhuo Xu, Shitao Zhu, Hui Chen, Anxue Zhang, Guoxiang Dong, Wen‐Quan Tao and Zhiguo Qu and has published in prestigious journals such as Nature Genetics, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Wang Gao

11 papers receiving 333 citations

Peers

Wang Gao

MT

AU

OE

CVPR

EE

Donna M. Kocak United States

Frank Christnacher France

Kecheng Yang China

Emmanuel Bacher France

Conor P. McElhinney Ireland

Jiemin Hu China

Peter Lutzmann Germany

Ralf Habel United States

Zhang Guang China

Jeremy P. Bos United States

Donna M. Kocak United States

Wang Gao

72 ×0.5

MT

13 ×0.1

AU

118 ×1.1

OE

207 ×2.0

CVPR

21 ×0.2

EE

Citations per year, relative to Wang Gao Wang Gao (= 1×) peers Donna M. Kocak

Countries citing papers authored by Wang Gao

Since Specialization

Citations

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

Fields of papers citing papers by Wang Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Gao

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

15 of 15 papers shown

1.

Gao, Wang, et al.. (2026). Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model. Nature Genetics. 58(2). 454–462.

2.

Gao, Wang, et al.. (2024). Debiased Contrastive Learning With Supervision Guidance for Industrial Fault Detection. IEEE Transactions on Industrial Informatics. 20(11). 12814–12825. 2 indexed citations

3.

Gao, Wang, et al.. (2024). LiteGrasp: A Light Robotic Grasp Detection via Semi-Supervised Knowledge Distillation. IEEE Robotics and Automation Letters. 9(9). 7995–8002.

4.

Guo, Peng, Shuguo Pan, Wang Gao, & Kourosh Khoshelham. (2024). Self-supervised monocular depth estimation via joint attention and intelligent mask loss. Machine Vision and Applications. 36(1).

5.

Yan, Qingsong, et al.. (2024). Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images. Geo-spatial Information Science. 28(2). 741–760. 5 indexed citations

6.

Zhang, Linhai, Pingfa Feng, Jie Xu, et al.. (2023). A piecewise kinetic model consistent with curing cycle of epoxy/amine composite. Journal of Thermal Analysis and Calorimetry. 148(22). 12781–12793. 2 indexed citations

7.

Wu, Tong, et al.. (2021). OA-MedSQL: Order-Aware Medical Sequence Learning for Clinical Outcome Prediction. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2013. 1585–1589. 1 indexed citations

8.

Pan, Shuguo, et al.. (2021). Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image. The Visual Computer. 38(5). 1619–1630. 11 indexed citations

9.

Gao, Wang, J.F. Zhang, Zhiguo Qu, & Wen‐Quan Tao. (2021). Numerical investigations of heat transfer in hybrid microchannel heat sink with multi-jet impinging and trapezoidal fins. International Journal of Thermal Sciences. 164. 106902–106902. 43 indexed citations

10.

Mei, Jie, et al.. (2021). CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery. IEEE Transactions on Image Processing. 30. 8540–8552. 136 indexed citations

11.

Gao, Wang, Changqing Wang, & Lei Li. (2020). Depth Estimation for Small Obstacles Based on Monocular Vision. 8004. 407–411.

12.

Zheng, Huaibin, Wang Gao, Yu Zhou, et al.. (2020). Three-Dimensional Imaging via Time-Correlated Single-Photon Counting. Applied Sciences. 10(6). 1930–1930. 9 indexed citations

13.

Wang, Yue, Tong Wu, Yunlong Wang, & Wang Gao. (2019). Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning. PubMed. 25. 511–522. 2 indexed citations

14.

He, Yuchen, Wang Gao, Guoxiang Dong, et al.. (2018). Ghost Imaging Based on Deep Learning. Scientific Reports. 8(1). 6469–6469. 138 indexed citations

15.

Gao, Wang. (2000). Study and Realization of Nutrition Prescription DSS of People′s Diet. 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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