Yixi Xu

582 total citations
34 papers, 316 citations indexed

About

Yixi Xu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering. According to data from OpenAlex, Yixi Xu has authored 34 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Aerospace Engineering. Recurrent topics in Yixi Xu's work include Nuclear Engineering Thermal-Hydraulics (6 papers), Nuclear Physics and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Yixi Xu is often cited by papers focused on Nuclear Engineering Thermal-Hydraulics (6 papers), Nuclear Physics and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Yixi Xu collaborates with scholars based in United States, Canada and China. Yixi Xu's co-authors include R.P. Taleyarkhan, Juan Lavista Ferres, Р. И. Нигматулин, R.T. Lahey, R.C. Block, C. D. West, Sumit Mukherjee, Chenyu Huang, Ivan S. Klyuzhin and Mary E. Johnson and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yixi Xu

33 papers receiving 299 citations

Peers

Countries citing papers authored by Yixi Xu

Since Specialization

Citations

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

Fields of papers citing papers by Yixi Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixi Xu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer 2025 ·International Journal of Computer Assisted Radiology and Surgery ·Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu	2
2	Radiological and Biological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer, Dictionary Version PM1.0 2025 ·Journal of Imaging Informatics in Medicine ·Mohammad R. Salmanpour, (unknown), (unknown), Ahmad Shariftabrizi, Yixi Xu, William B. Weeks, Arman Rahmim, Ilker Hacihaliloglu	1
3	Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection 2025 ·Radiology ·Felipe Oviedo, (unknown), (unknown), Yixi Xu, (unknown), Robert A. Vandermeulen, Marius Kloft, (unknown), Adam Alessio, Christopher I. Li, William B. Weeks, Rahul Dodhia, Juan Lavista Ferres, Habib Rahbar, Savannah C. Partridge	2
4	Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study 2025 ·PLoS ONE ·Md Nasir, Yixi Xu, Kyle Hasenstab, (unknown), Rahul Dodhia, William B. Weeks, Juan Lavista Ferres, Guilherme Moura Cunha	0
5	Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm 2025 ·Nature Communications ·Meghana Kshirsagar, Artur Meller, Ian R. Humphreys, Samuel Sledzieski, Yixi Xu, Rahul Dodhia, Eric Horvitz, Bonnie Berger, Gregory R. Bowman, Juan Lavista Ferres, David Baker, Minkyung Baek	1
6	A Novel Authenticated Quantum Anonymous Secret Sharing for Classical and Quantum Information 2024 ·Advanced Quantum Technologies ·Qingle Wang, Yixi Xu, Guodong Li, (unknown), Yuqian Zhou, Xin Li, Long Cheng	3
7	Topological disruption of low- and high-order functional networks in presbycusis 2024 ·Brain Communications ·Yixi Xu, Xiangxiang Li, (unknown), Yao Zhang, Song’an Shang, (unknown), Yuanqing Wu, Bing Guan, (unknown)	2
8	Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss 2023 ·Computers in Biology and Medicine ·Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, (unknown), François Bénard, Rahul Dodhia, Carlos Uribe, Arman Rahmim, Juan Lavista Ferres	20
9	MUC1 promotes cancer stemness and predicts poor prognosis in osteosarcoma 2023 ·Pathology - Research and Practice ·Jian Liu, Yixi Xu, Tianqi Xu, Yixiong Liu, Jin Liu, Jia Chai, (unknown), (unknown), Mingyang Li, (unknown), Chen Zhang	6
10	Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy 2023 ·Scientific Reports ·Al‐Rahim Habib, Yixi Xu, (unknown), (unknown), (unknown), William B. Weeks, Rahul Dodhia, Juan Lavista Ferres, Chris Perry, Raymond Sacks, Narinder Singh	9
11	Machine learning-based derivation and external validation of a tool to predict death and development of organ failure in hospitalized patients with COVID-19 2022 ·Scientific Reports ·Yixi Xu, (unknown), (unknown), Marian Blazes, Juan Lavista Ferres, Aaron Lee, W. Conrad Liles, Pavan K. Bhatraju	11
12	Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors 2022 ·BMC Public Health ·Sumit Mukherjee, Meghana Kshirsagar, (unknown), Yixi Xu, William B. Weeks, Shwetak Patel, Juan Lavista Ferres, Michael L. Jackson	3
13	Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features 2022 ·Computer Methods and Programs in Biomedicine ·Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, Arman Rahmim	13
14	Protecting GANs against privacy attacks by preventing overfitting. 2019 ·arXiv (Cornell University) ·Sumit Mukherjee, Yixi Xu, (unknown), Juan Lavista Ferres	2
15	Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units 2018 ·arXiv (Cornell University) ·Yixi Xu, Xiao Wang	1
16	Tension metastable fluid nuclear particle Detector—Qualification and comparisons 2009 ·Nuclear Engineering and Design ·(unknown), (unknown), Yixi Xu, R.P. Taleyarkhan	9
17	Tension Metastable Fluid Nuclear Particle Detector: Qualification and Comparisons 2008 ·(unknown), (unknown), Yixi Xu, R.P. Taleyarkhan	4
18	Nuclear Emissions During Self-Nucleated Acoustic Cavitation 2006 ·Physical Review Letters ·R.P. Taleyarkhan, C. D. West, R.T. Lahey, Р. И. Нигматулин, R.C. Block, Yixi Xu	59
19	Taleyarkhanet al.Reply: 2006 ·Physical Review Letters ·R.P. Taleyarkhan, R.C. Block, R.T. Lahey, Р. И. Нигматулин, Yixi Xu	2
20	Design and test of hydraulic vacuum breaker check valve for simplified boiling water reactor 2006 ·Nuclear Engineering and Design ·(unknown), Shripad T. Revankar, Yixi Xu, Mamoru Ishii	6

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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