Yi Gao

3.9k total citations · 1 hit paper
109 papers, 2.1k citations indexed

About

Yi Gao is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yi Gao has authored 109 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 29 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Artificial Intelligence. Recurrent topics in Yi Gao's work include Medical Image Segmentation Techniques (23 papers), AI in cancer detection (20 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Yi Gao is often cited by papers focused on Medical Image Segmentation Techniques (23 papers), AI in cancer detection (20 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Yi Gao collaborates with scholars based in China, United States and Israel. Yi Gao's co-authors include Tahsin Kurç, Joel Saltz, George M. Church, Le Hou, Dimitris Samaras, James Davis, Allen Tannenbaum, Sylvain Bouix, Chuan Huang and Karl Spuhler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and NeuroImage.

In The Last Decade

Yi Gao

102 papers receiving 2.1k citations

Hit Papers

Patch-Based Convolutional Neural Network for Whole Slide ... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Gao China 21 845 764 626 301 274 109 2.1k
Xiao Han China 25 738 0.9× 660 0.9× 350 0.6× 185 0.6× 251 0.9× 145 1.9k
Constantino Carlos Reyes‐Aldasoro United Kingdom 24 670 0.8× 632 0.8× 377 0.6× 514 1.7× 405 1.5× 99 2.6k
Eduardo Romero Colombia 22 642 0.8× 526 0.7× 613 1.0× 188 0.6× 236 0.9× 172 1.9k
Hongzan Sun China 28 922 1.1× 1.2k 1.6× 458 0.7× 129 0.4× 221 0.8× 120 2.5k
Arkadiusz Gertych United States 28 795 0.9× 741 1.0× 474 0.8× 250 0.8× 190 0.7× 75 3.2k
Shan E Ahmed Raza United Kingdom 19 1.3k 1.5× 884 1.2× 727 1.2× 170 0.6× 292 1.1× 55 2.1k
Jens Kleesiek Germany 21 503 0.6× 994 1.3× 501 0.8× 216 0.7× 171 0.6× 107 2.3k
David J. Foran United States 30 1.2k 1.4× 795 1.0× 1.0k 1.6× 517 1.7× 312 1.1× 110 3.1k
Yucheng Tang United States 18 839 1.0× 1.2k 1.6× 1.3k 2.1× 233 0.8× 251 0.9× 85 3.0k

Countries citing papers authored by Yi Gao

Since Specialization
Citations

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

Fields of papers citing papers by Yi Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Gao

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

All Works

20 of 20 papers shown
1.
Cai, Huabing, Yujing Zhang, Qingli Tang, Zhongkang Han, & Yi Gao. (2025). Exploring structures of Pd clusters on hydrogenated ceria surface using High-Dimensional neural network potential. Applied Surface Science. 692. 162780–162780. 1 indexed citations
2.
Gao, Yi, et al.. (2025). Data-driven local voltage control design for active distribution networks considering various operation conditions. Electric Power Systems Research. 248. 111902–111902.
3.
Wang, Xinyi, Xiaoming Liu, Jingwen Li, et al.. (2025). Human-in-the-loop machine learning-based quantitative assessment of hemifacial spasm based on volumetric interpolated breath-hold examination MR. British Journal of Radiology. 98(1168). 562–570.
4.
Gao, Shan, et al.. (2024). Enhanced Deformation Vector Field Generation With Diffusion Models and Mamba‐Based Network for Registration Performance Enhancement. International Journal of Imaging Systems and Technology. 34(5). 2 indexed citations
5.
Gao, Yi, et al.. (2024). Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model. International Journal of Imaging Systems and Technology. 35(1). 2 indexed citations
6.
Zhao, Qi, Huanhao Li, Tianting Zhong, et al.. (2024). DeepSLM: Speckle‐Licensed Modulation via Deep Adversarial Learning for Authorized Optical Encryption and Decryption. SHILAP Revista de lepidopterología. 6(11). 2 indexed citations
7.
Xing, Kai, Yue Wu, Fei Gao, et al.. (2023). Design, synthesis and anti-hepatic fibrosis activity of novel diphenyl vitamin D receptor agonists. European Journal of Medicinal Chemistry. 258. 115596–115596. 3 indexed citations
8.
Chen, Guojing, Xiaxia Yu, Renee Cattell, et al.. (2023). Fine scale hippocampus morphology variation cross 552 healthy subjects from age 20 to 80. Frontiers in Neuroscience. 17. 1162096–1162096. 1 indexed citations
9.
Chen, Fu‐Rong, et al.. (2023). Sensor Fusion-Based Anthropomorphic Control of a Robotic Arm. Bioengineering. 10(11). 1243–1243. 2 indexed citations
11.
Shao, Jundong, Jing Zhang, Xingxing Li, et al.. (2022). Printable personalized drug delivery patch for the topical therapy of skin diseases. Matter. 6(1). 158–174. 20 indexed citations
12.
Wang, Lumin, Wenyan Liu, Mingliang Hu, et al.. (2022). Rare earth‐based MOF@mesoporous silica nanoplatform for long‐term and luminescence trackable chemotherapy. Rare Metals. 41(8). 2701–2710. 14 indexed citations
13.
14.
Gao, Yi, et al.. (2021). Differential Diagnosis of Fulminant Myocarditis and Acute Coronary Syndromes in the Case of Failure of Coronary Angiography: A Case Report. Frontiers in Cardiovascular Medicine. 8. 690974–690974. 5 indexed citations
15.
Liu, Chunling, Jie Ding, Karl Spuhler, et al.. (2018). Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast‐enhanced MRI. Journal of Magnetic Resonance Imaging. 49(1). 131–140. 151 indexed citations
16.
Saltz, Joel, Ashish Sharma, Jonas S. Almeida, et al.. (2017). A Containerized Software System for Generation, Management, and Exploration of Features from Whole Slide Tissue Images. Cancer Research. 77(21). e79–e82. 33 indexed citations
17.
Gao, Yi & Sylvain Bouix. (2016). Statistical shape analysis using 3D Poisson equation—A quantitatively validated approach. Medical Image Analysis. 30. 72–84. 5 indexed citations
18.
Re, Elisabetta C. del, Yi Gao, Ryan Eckbo, et al.. (2015). A New MRI Masking Technique Based on Multi‐Atlas Brain Segmentation in Controls and Schizophrenia: A Rapid and Viable Alternative to Manual Masking. Journal of Neuroimaging. 26(1). 28–36. 20 indexed citations
19.
Dong, Wei, Yi Gao, Zhiwei Zhao, & Xianghua Xu. (2015). On the Simulation of Networked Sensor Systems.. Ad Hoc & Sensor Wireless Networks. 28. 41–63. 1 indexed citations
20.
Gao, Yi. (2008). Optical flow based techniques for ExoMars rover autonomous navigation. View. 2 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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