World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
20197
World Ranking
3550
National Ranking
1709

Biology and Biochemistry

D-Index
67
Citations
43540
World Ranking
8016
National Ranking
3630

Overview

Xiaohui Xie is affiliated with the University of California, Irvine in the United States. Their research spans across several interdisciplinary fields including Biochemistry, Genetics and Molecular Biology, Medicine, and Computer Science.

The scientist's subfields of study highlight a focus on Molecular Biology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cancer Research, and Pulmonary and Respiratory Medicine. The primary research topics include Advanced Neural Network Applications, Medical Image Segmentation Techniques, Cancer-related molecular mechanisms research, Human Pose and Action Recognition, Single-cell and spatial transcriptomics, RNA modifications and cancer, as well as Genomics and Chromatin Dynamics.

Recent publications by Xiaohui Xie demonstrate active contributions to both biological and computational research domains:

  • "Identifying viruses from metagenomic data using deep learning," 2020, Quantitative Biology
  • "UFold: fast and accurate RNA secondary structure prediction with deep learning," 2021, Nucleic Acids Research
  • "A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy," 2021, Radiotherapy and Oncology
  • "AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "RNA sequencing by direct tagmentation of RNA/DNA hybrids," 2020, Proceedings of the National Academy of Sciences

Xiaohui Xie collaborates frequently with a consistent group of co-authors, emphasizing ongoing research partnerships. Notable collaborators include Shanlin Sun, Xiangyi Yan, Deying Kong, Haoyu Ma, and Kun Han. These collaborations have contributed to numerous publications and advancements in their research areas.

The scientist has a regular presence in scientific venues such as arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), SSRN Electronic Journal, Proceedings of the National Academy of Sciences, and Research Square. These venues have been important channels for disseminating their research findings.

Best Publications

  • A Bivalent Chromatin Structure Marks Key Developmental Genes in Embryonic Stem Cells

    Bradley E. Bernstein;Tarjei S. Mikkelsen;Tarjei S. Mikkelsen;Xiaohui Xie;Michael Kamal

  • Genome-wide maps of chromatin state in pluripotent and lineage-committed cells

    Tarjei S. Mikkelsen;Manching Ku;Manching Ku;David B. Jaffe;Biju Issac;Biju Issac

  • Genome sequence, comparative analysis and haplotype structure of the domestic dog

    Kerstin Lindblad-Toh;Claire M Wade;Claire M Wade;Tarjei S. Mikkelsen;Tarjei S. Mikkelsen;Elinor K. Karlsson;Elinor K. Karlsson

  • Label-free biomedical imaging with high sensitivity by stimulated raman scattering microscopy

    Christian W. Freudiger;Wei Min;Brian G. Saar;Sijia Lu

  • Genome-wide detection and characterization of positive selection in human populations

    Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller

  • Systematic discovery of regulatory motifs in human promoters and 3′ UTRs by comparison of several mammals

    Xiaohui Xie;Jun Lu;E. J. Kulbokas;Todd R. Golub

  • Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium

    Li Jun Ma;H. Charlotte Van Der Does;Katherine A. Borkovich;Jeffrey J. Coleman

  • A high-resolution map of human evolutionary constraint using 29 mammals.

    Kerstin Lindblad-Toh;Manuel Garber;Or Zuk;Michael F. Lin;Michael F. Lin

  • Genomewide analysis of PRC1 and PRC2 occupancy identifies two classes of bivalent domains

    Manching Ku;Richard P. Koche;Richard P. Koche;Richard P. Koche;Esther Rheinbay;Esther Rheinbay;Esther Rheinbay;Eric M. Mendenhall;Eric M. Mendenhall

  • DANN: a deep learning approach for annotating the pathogenicity of genetic variants.

    Daniel Quang;Yifei Chen;Xiaohui Xie

  • DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

    Daniel Quang;Xiaohui Xie

  • Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks

    Wentao Zhu;Cuiling Lan;Junliang Xing;Wenjun Zeng

  • Errα and Gabpa/b specify PGC-1α-dependent oxidative phosphorylation gene expression that is altered in diabetic muscle

    Vamsi K. Mootha;Christoph Handschin;Dan Arlow;Xiaohui Xie

  • Genome of the marsupial Monodelphis domestica reveals innovation in non-coding sequences

    Tarjei S. Mikkelsen;Tarjei S. Mikkelsen;Matthew J. Wakefield;Bronwen Aken;Chris T. Amemiya

  • Distinguishing protein-coding and noncoding genes in the human genome

    Michele Clamp;Ben Fry;Mike Kamal;Xiaohui Xie

  • A Mammalian Organelle Map by Protein Correlation Profiling

    Leonard J. Foster;Carmen L. de Hoog;Carmen L. de Hoog;Yanling Zhang;Yanling Zhang;Yong Zhang;Yong Zhang

  • Identifying viruses from metagenomic data using deep learning.

    Jie Ren;Kai Song;Chao Deng;Nathan A. Ahlgren

  • AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy

    Wentao Zhu;Yufang Huang;Liang Zeng;Xuming Chen

  • Gene expression inference with deep learning

    Yifei Chen;Yi Li;Rajiv Narayan;Aravind Subramanian

  • Systematic identification of human mitochondrial disease genes through integrative genomics.

    Sarah Calvo;Mohit Jain;Mohit Jain;Xiaohui Xie;Sunil A Sheth;Sunil A Sheth

Frequent Co-Authors

Eric S. Lander
Eric S. Lander Broad Institute
Wei Fan
Wei Fan Tencent (China)
Tarjei S. Mikkelsen
Tarjei S. Mikkelsen Arsenal Biosciences (United States)
Vamsi K. Mootha
Vamsi K. Mootha Harvard Medical School
Timothy F. Osborne
Timothy F. Osborne Johns Hopkins University School of Medicine
Kerstin Lindblad-Toh
Kerstin Lindblad-Toh Uppsala University
Yen-Yu Lin
Yen-Yu Lin National Yang Ming Chiao Tung University
Richard Koche
Richard Koche Memorial Sloan Kettering Cancer Center
H. Sebastian Seung
H. Sebastian Seung Princeton University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education can provide flexible and affordable ways to launch or advance your career in computer science. For those seeking quick entry into tech fields, pursuing the easiest associate degree to get could be a practical starting point. These programs typically require less time and can lead to entry-level roles or help you transfer to a bachelor’s program.

Ensuring your chosen online program is reputable is crucial. Always check for accredited options, and consider the online degree programs accredited to confirm the institution meets quality standards recognized by employers.

If you're dreaming of a specialized tech role, degrees like a video game design degree can pave the way for careers in gaming, 3D modeling, or interactive media. For those considering academia or leadership, one question to ask is how much does a doctorate in education cost, since tuition and fees can vary widely.

By exploring your options, you can find the best online computer science pathway tailored to your career goals and budget.

Best Scientists Citing Xiaohui Xie

Trending Scientists

Recently Published Articles