Xuan Cheng

911 citations

27 papers · 595 indexed · 1 hit paper · h-index 9

Mechanical Engineering top 10%
Automotive Engineering top 5%
Industrial and Manufacturing Engineering top 5%
Biomedical Engineering
Cardiology and Cardiovascular Medicine

Co-authors: Yong Li Changpeng Li Guofeng Chen Dongsheng Liu Xuecheng Zou Lai Wei Minghui Liu Xiaomin Wang
Topics: Advanced Neural Network Applications (8 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Domain Adaptation and Few-Shot Learning (6 papers)
Cited by: Automotive Engineering Industrial and Manufacturing Engineering Mechanical Engineering
Journals: Expert Systems with Applications IEEE Access Neurocomputing
Partner nations: China

In The Last Decade

Xuan Cheng

24 papers receiving 566 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.

Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives

2019 381 citations Xuan Cheng et al. profile →

Peers

Countries citing papers authored by Xuan Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Xuan Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuan Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan Cheng. A scholar is included among the top collaborators of Xuan Cheng 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 Xuan Cheng. Xuan Cheng 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

#	Work	Indexed citations
1	Selective output smoothing regularization: Regularize neural networks by softening output distributions 2025 ·Applied Intelligence ·Xuan Cheng,(unknown),Xiaomin Wang,Meiyi Yang,(unknown),Minghui Liu,Ming Liu	0
2	Self‐adaption and texture generation: A hybrid loss function for low‐dose CT denoising 2023 ·Journal of Applied Clinical Medical Physics ·(unknown),Minghui Liu,(unknown),Xuan Cheng,Jinqi Zhu,Xiaomin Wang,Haigang Gong,Ming Liu,Lifeng Xu	5
3	Novel Computed-Tomography-Based Transformer Models for the Noninvasive Prediction of PD-1 in Pre-Operative Settings 2023 ·Cancers ·Yi Wei,Meiyi Yang,Lifeng Xu,Minghui Liu,(unknown),Feng Zhang,(unknown),Xuan Cheng,Xiaomin Wang,(unknown),Qian Li,Qing Xu,Zixing Huang,Ming Liu	6
4	Self-supervised contrastive learning using CT images for PD-1/PD-L1 expression prediction in hepatocellular carcinoma 2023 ·Frontiers in Oncology ·(unknown),Yi Wei,Lifeng Xu,Qian Li,(unknown),Qing Xu,Xuan Cheng,Minghui Liu,(unknown),Meiyi Yang,Xiaomin Wang,Feng Zhang,Bin Song,Ming Liu	10
5	Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning 2023 ·International Journal of Computational Intelligence Systems ·Minghui Liu,Meiyi Yang,(unknown),Xuan Cheng,(unknown),Deng Pan,Haigang Gong,Ming Liu,Xiaomin Wang	2
6	Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images 2022 ·IEEE Journal of Biomedical and Health Informatics ·Siying Chen,Minghui Liu,Deng Pan,(unknown),(unknown),Xuan Cheng,(unknown),(unknown),Wei Zhang,Haigang Gong,Xiaomin Wang,Lifeng Xu,Hong Pu,Ming Liu	15
7	FocusedDropout for Convolutional Neural Network 2022 ·Applied Sciences ·Minghui Liu,(unknown),Xuan Cheng,(unknown),Meiyi Yang,Xiaomin Wang,Ming Liu	7
8	CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma 2022 ·Frontiers in Oncology ·Meiyi Yang,(unknown),Lifeng Xu,Minghui Liu,(unknown),Xuan Cheng,Yi Wei,Qian Li,(unknown),Feng Zhang,Lei Wu,Xiaomin Wang,Bin Song,(unknown),(unknown)	8
9	Self-Supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning 2022 ·IEEE Access ·(unknown),Yuhang Yang,(unknown),Xuan Cheng,Xiaomin Wang,Haigang Gong,Ming Liu	1
10	Express Construction for GANs from Latent Representation to Data Distribution 2022 ·Applied Sciences ·Minghui Liu,(unknown),Meiyi Yang,Xuan Cheng,(unknown),(unknown),Xiaomin Wang,Ming Liu	1
11	Deep Learning Method Based on CT Images to Predict the Pathological Differentiation of Intrahepatic Cholangiocarcinoma 2022 ·(unknown),Minghui Liu,(unknown),(unknown),Xuan Cheng,Haigang Gong	2
12	Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model 2022 ·Cancers ·Lifeng Xu,(unknown),Feng Zhang,Xuan Cheng,Yi Wei,(unknown),Minghui Liu,(unknown),(unknown),(unknown),Xiaomin Wang,Ming Liu,Bin Song	24
13	Efficient Resource Allocation Policy for Cloud Edge End Framework by Reinforcement Learning 2022 ·(unknown),(unknown),(unknown),Xuan Cheng,Minghui Liu,Xiaomin Wang	2
14	CyclicShift: A Data Augmentation Method For Enriching Data Patterns 2022 ·Proceedings of the 30th ACM International Conference on Multimedia ·Hui Lü,Xuan Cheng,(unknown),(unknown),Minghui Liu,(unknown),Xiaomin Wang,Ming Liu	2
15	E-Res U-Net: An improved U-Net model for segmentation of muscle images 2021 ·Expert Systems with Applications ·Junsheng Zhou,Yiwen Lu,(unknown),Xuan Cheng,Chenxi Huang	17
16	RALR: Random Amplify Learning Rates for Training Neural Networks 2021 ·Applied Sciences ·(unknown),Haigang Gong,Minghui Liu,(unknown),Xuan Cheng,Xiaomin Wang,Ming Liu	1
17	Efficient Hardware Architecture of Convolutional Neural Network for ECG Classification in Wearable Healthcare Device 2021 ·IEEE Transactions on Circuits and Systems I Regular Papers ·(unknown),Dongsheng Liu,Zilong Liu,Xuan Cheng,Lai Wei,Cong Zhang,Xuecheng Zou,Bo Liu	32
18	Spatially constrained level-set tracking and segmentation of non-rigid objects 2016 ·Journal of Visual Communication and Image Representation ·Xuan Cheng,Ming Zeng,Xinguo Liu	2
19	Shape completion for depth image via repeated objects registration 2015 ·Neurocomputing ·Ming Zeng,Liujuan Cao,Xuan Cheng,(unknown),(unknown),Cheng Wang	1
20	Predicting drug‐target interactions based on an improved semi‐supervised learning approach 2010 ·Drug Development Research ·Weiming Yu,Xuan Cheng,Zhibin Li,Zhenran Jiang	12

About Xuan Cheng

Xuan Cheng is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 595 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Automotive Engineering (237 citations), Industrial and Manufacturing Engineering (152 citations) and Mechanical Engineering (276 citations). Xuan Cheng has collaborated with scholars based in China. Frequent co-authors include Yong Li, Changpeng Li, Guofeng Chen, Dongsheng Liu, Xuecheng Zou, Lai Wei, Minghui Liu, Xiaomin Wang, Lifeng Xu and Cong Zhang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

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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