Xieping Gao

2.6k total citations · 1 hit paper
131 papers, 1.9k citations indexed

About

Xieping Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xieping Gao has authored 131 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xieping Gao's work include Image and Signal Denoising Methods (23 papers), AI in cancer detection (13 papers) and Advanced Image Fusion Techniques (11 papers). Xieping Gao is often cited by papers focused on Image and Signal Denoising Methods (23 papers), AI in cancer detection (13 papers) and Advanced Image Fusion Techniques (11 papers). Xieping Gao collaborates with scholars based in China, United States and Australia. Xieping Gao's co-authors include Kai Hu, Fen Xiao, Chunhong Cao, Yuan Zhang, Shuhua Deng, Xuanya Li, Yuan Zhang, Zhenzhen Zhang, Zhineng Chen and Zhineng Chen and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Power Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xieping Gao

120 papers receiving 1.8k 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.

Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function

2018 265 citations Kai Hu, Chunhong Cao et al. profile →

Peers

Xieping Gao

CVPR

RNMI

AI

NEURO

OPHTH

Bin Sheng China

Dazhe Zhao China

Muhammad Sharif Pakistan

Syamsiah Mashohor Malaysia

Beiji Zou China

Deepak Ranjan Nayak India

P. Palanisamy India

Shadrokh Samavi Iran

Zhijun Fang China

Yinan Kong Australia

Bin Sheng China

Xieping Gao

1.0k ×1.1

CVPR

611 ×1.1

RNMI

348 ×0.7

AI

68 ×0.2

NEURO

275 ×1.2

OPHTH

Citations per year, relative to Xieping Gao Xieping Gao (= 1×) peers Bin Sheng

Countries citing papers authored by Xieping Gao

Since Specialization

Citations

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

Fields of papers citing papers by Xieping Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xieping Gao

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

20 of 20 papers shown

1.

Deng, Shuhua, et al.. (2025). Investigating Vulnerabilities in OpenFlow Discovery Protocol: Novel Attacks and Their Defense. IEEE Transactions on Dependable and Secure Computing. 22(6). 6376–6388.

2.

Zhang, Yuan, et al.. (2025). PILOT: Deep Siamese network with hybrid attention improves prediction of mutation impact on protein stability. Neural Networks. 188. 107476–107476.

3.

Xiao, Fen, et al.. (2025). Two-Stage Clustering and Independent Competing Based Evolutionary Algorithm for Multimodal Multi-Objective Optimization. IEEE Transactions on Evolutionary Computation. 1–1. 3 indexed citations

4.

Xiao, Fen, et al.. (2024). Sentinel mechanism for visual semantic graph-based image captioning. Computers & Electrical Engineering. 119. 109626–109626. 1 indexed citations

5.

Cao, Chunhong, et al.. (2024). ADHD diagnosis guided by functional brain networks combined with domain knowledge. Computers in Biology and Medicine. 177. 108611–108611.

6.

Xiao, Fen, et al.. (2024). Integrating category-related key regions with a dual-stream network for remote sensing scene classification. Journal of Visual Communication and Image Representation. 100. 104098–104098. 2 indexed citations

7.

Cao, Chunhong, et al.. (2024). Modeling Functional Brain Networks for ADHD via Spatial Preservation-Based Neural Architecture Search. IEEE Journal of Biomedical and Health Informatics. 28(11). 6854–6864.

8.

Cao, Chunhong, et al.. (2024). Accelerated Sparse-Coding-Inspired Feedback Neural Architecture Search for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 6 indexed citations

9.

Zhang, Yuan, et al.. (2024). Graph masked self-distillation learning for prediction of mutation impact on protein–protein interactions. Communications Biology. 7(1). 1400–1400. 5 indexed citations

10.

Cao, Chunhong, et al.. (2024). A Two-Stream Stacked Autoencoder With Inter-Class Separability for Bilinear Hyperspectral Unmixing. IEEE Transactions on Computational Imaging. 10. 357–371. 10 indexed citations

11.

Li, Zhengfa, et al.. (2023). A soft actor-critic reinforcement learning algorithm for network intrusion detection. Computers & Security. 135. 103502–103502. 15 indexed citations

12.

Cao, Chunhong, et al.. (2023). Identification for the cortical 3-Hinges folding pattern based on cortical morphological and structural features. Frontiers in Neuroscience. 17. 1125666–1125666.

13.

Hu, Kai, et al.. (2023). Polyp segmentation with distraction separation. Expert Systems with Applications. 228. 120434–120434. 13 indexed citations

14.

Xiao, Fen, et al.. (2023). DGFNet: Depth-Guided Cross-Modality Fusion Network for RGB-D Salient Object Detection. IEEE Transactions on Multimedia. 26. 2648–2658. 14 indexed citations

15.

Hu, Kai, et al.. (2023). DSC-Net: A Novel Interactive Two-Stream Network by Combining Transformer and CNN for Ultrasound Image Segmentation. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 13 indexed citations

16.

Song, Bin, et al.. (2021). Receiver Position Estimation Method for Multitransmitter WPT System Based on Machine Learning. IEEE Transactions on Industry Applications. 58(1). 1231–1241. 20 indexed citations

17.

Peng, Tao, et al.. (2020). Flexible Combination and Switching Control for Robust Wireless Power Transfer System With Hexagonal Array Coil. IEEE Transactions on Power Electronics. 36(4). 3868–3882. 49 indexed citations

18.

Liu, Chunxia, et al.. (2018). Coupling Mechanism Analysis for Multi-Transmitter Switching Wireless Power Transfer System. Diangong Jishu Xuebao. 33(22). 5244–5253. 1 indexed citations

19.

Jia, Caiyan & Xieping Gao. (2002). A general sampling theorem for multiwavelet subspaces. Science in China Series F Information Sciences. 45(5). 365–372. 3 indexed citations

20.

Gao, Xieping. (2001). The Researching Development of Evolutionary Neural Networks. Systems engineering and electronics. 4 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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