Xiaohui Xie

40.5k citations

195 papers · 22.6k indexed · 14 hit papers · h-index 65

Impact in

Biophysics top 0.05%
- Advanced Fluorescence Microscopy Techniques
Molecular Biology top 0.1%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies

Papers in

Biophysics 18
- Advanced Fluorescence Microscopy Techniques 14
Cancer Research 22
- Cancer-related molecular mechanisms research 12

Co-authors: Eric S. Lander Daniel Quang Lukáš Novotný Tarjei S. Mikkelsen B Bernstein Ben Fry James Cuff Randy X. Bian
Journals: Bioinformatics (12 papers)Proceedings of the National Academy of Sciences (10 papers)Science (6 papers)BMC Bioinformatics (6 papers)Nucleic Acids Research (5 papers)
Partner nations: United States China Germany

In The Last Decade

Xiaohui Xie

187 papers receiving 22.2k citations

Hit Papers

14 papers align trajectories log scale

Identifying viruses from metagenomic data using deep learning 2020 · 361 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2020 Quantitative Biology
2018 Medical Physics
2018 DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
2018 Science
2016 Proceedings of the AAAI Conference on Artificial Intelligence
2016 Nucleic Acids Research
2014 Bioinformatics
2012 Science
2008 PLoS Genetics
2006 Cell
2005 Nature
2003 Science
1999 Physical Review Letters
1997 Physical Review Letters

Peers

Replace Brian W. Matthews with:

Brian W. Matthews United States

Gaudenz Danuser United States

Wolfgang Kabsch Germany

Yang Zhang China

Denis Wirtz United States

R. Mark Henkelman Canada

Scott E. Fraser United States

Peter K. Sorger United States

Stephen R. Quake United States

Michael P. Sheetz United States

Xiaohui Xie relative to Brian W. Matthews United States Brian W. Matthews's profile →

Citations per field

00.5×2×3×4.1×

Brian W. Matthews · 1×

×4.1 2k/456

BIOPH

×0.5 14k/29k

MB

×1.5 240/158

SB

×2.4 3k/1k

CR

×0.7 2k/4k

GENET

Citations per year

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2026

Countries citing papers authored by Xiaohui Xie

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohui Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohui Xie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaohui Xie Line = papers co-authored together Xiaohui Xie links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	CRISPR/Cas13a-mediated visual detection: A rapid and robust method for early detection of Nosema bombycis in silkworms Insect Biochemistry and Molecular Biology ·Elenora Bambozzi Bottura, Samreen Sadiq, Баймаканова Гульсара Есенгельдиевна, Xuemin Zhou, Niclas Kimblad, Xiaohui Xie, Iltaf Khan, Ping Wu	2024	8
2	A Deep-Learning Approach to Detect and Classify Heavy-Duty Trucks in Satellite Images IEEE Transactions on Intelligent Transportation Systems ·万丈市戸, LaTosha L. Traylor, Basim Abdulghani Alattabi, Xiaohui Xie, Jun Wu	2024	1
3	AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ·Xiangyi Yan, Hao Tang, Shanlin Sun, Haoyu Ma, Deying Kong, Xiaohui Xie	2022	100
4	Gene Expression Trajectories from Normal Nonsmokers to COPD Smokers and Disease Progression Discriminant Modeling in Response to Cigarette Smoking Disease Markers ·Walter W. SNYDER, Raj Amarnani, Qiongqiong Li, Defu Li, Yuanyuan Li, Xiaohui Xie, Yuan Liang, 法学セミナ-編集部, Aliitasi Su’a-Tavila, 琢磨中塚, Angélica Belén Ruiz Contreras, Jian Wang, Wenju Lu	2022	3
5	Highly sensitive single-cell chromatin accessibility assay and transcriptome coassay with METATAC Proceedings of the National Academy of Sciences ·Honggui Wu, Xiang Li, Fanchong Jian, Ayijiang Yisimayi, Yinghui Zheng, Longzhi Tan, Dong Xing, Xiaohui Xie	2022	5
6	UFold: fast and accurate RNA secondary structure prediction with deep learning Nucleic Acids Research ·Laiyi Fu, Yingxin Cao, Jie Wu, Qinke Peng, Qing Nie, Xiaohui Xie	2021	122
7	SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration Bioinformatics ·Yingxin Cao, Laiyi Fu, Jie Wu, Qinke Peng, Qing Nie, Juana Elvira Plúa Quiroz, Xiaohui Xie	2021	11
8	Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands Proceedings of the National Academy of Sciences ·Dong Xing, Longzhi Tan, J Jankowski, Heng Li, Xiaohui Xie	2021	44
9	Elevated LINC00909 Promotes Tumor Progression of Ovarian Cancer via Regulating the miR‐23b‐3p/MRC2 Axis Oxidative Medicine and Cellular Longevity ·Yang Xu, Matthew F. Fanuka, Fan Yang, Lang He, Xiaohui Xie, 张健兴, Lei Yang, Yulan Ma, Qin Zhang, Jiao Chen, Siying Zou, M. Brandtner, Yan Wang, Cardoso Rodrigo Carvalho, Juan Li, Bin Han, Kaijiang Liu	2021	19
10	RNA sequencing by direct tagmentation of RNA/DNA hybrids Proceedings of the National Academy of Sciences ·Lin Di, Yusi Fu, Yue Sun, Jie Li, Lu Liu, Jiacheng Yao, Guanbo Wang, Yalei Wu, Kaiqin Lao, Raymond W. Lee, Genhua Zheng, Jun Xu, Juntaek Oh, Dong Wang, Xiaohui Xie, Yanyi Huang, Jianbin Wang	2020	76
11	Clinically applicable deep learning framework for organs at risk delineation in CT images Nature Machine Intelligence ·Hao Tang, Xuming Chen, Rongfang Su, Zhipeng Lu, Junhua You, Udumuzi Dlamini, Shengyu Yao, Ю. В. Шапошникова, Yi Xu, Tingfeng Chen, Yong Liu, Xiaohui Xie	2019	106
12	FactorNet: A deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data Methods ·Daniel Quang, Xiaohui Xie	2019	108
13	Parallel clustering of single cell transcriptomic data with split-merge sampling on Dirichlet process mixtures Bioinformatics ·K. Jeyajothi, José Pinto, Xiaohui Xie	2018	12
14	Adversarial deep structured nets for mass segmentation from mammograms Wentao Zhu, Xiang Xiang, Trac D. Tran, Gregory D. Hager, Xiaohui Xie	2018	90
15	SEARE: A System for Exercise Activity Recognition and Quality Evaluation Based on Green Sensing IEEE Transactions on Emerging Topics in Computing ·Fu Xiao, Jing Chen, Xiaohui Xie, Linqing Gui, Lijuan Sun, Ruchuan Wang	2018	53
16	HLA class I binding prediction via convolutional neural networks Bioinformatics ·Yeeleng S. Vang, Xiaohui Xie	2017	73
17	Gene expression inference with deep learning Bioinformatics ·Yifei Chen, Yi Li, Rajiv Narayan, Aravind Subramanian, Xiaohui Xie	2016	274
18	A mixture model for expression deconvolution from RNA-seq in heterogeneous tissues BMC Bioinformatics ·Yi Li, Xiaohui Xie	2013	40
19	Systematic discovery of regulatory motifs in conserved regions of the human genome, including thousands of CTCF insulator sites Proceedings of the National Academy of Sciences ·Xiaohui Xie, Tarjei S. Mikkelsen, Andreas Gnirke, Kerstin Lindblad‐Toh, Manolis Kellis, Eric S. Lander	2007	244
20	Spike-based Learning Rules and Stabilization of Persistent Neural Activity DSpace@MIT (Massachusetts Institute of Technology) ·Xiaohui Xie, H. Sebastian Seung	1999	27

About Xiaohui Xie

Xiaohui Xie is a scholar working on Biophysics, Cancer Research, Structural Biology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 195 papers that have together received 22.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (20 papers), Genomics and Chromatin Dynamics (19 papers), Genomics and Phylogenetic Studies (18 papers), Advanced Fluorescence Microscopy Techniques (14 papers), RNA Research and Splicing (13 papers), Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (11 papers) and Near-Field Optical Microscopy (11 papers). The work is most often cited by research in Biophysics (1.9k citations), Molecular Biology (14.1k citations), Structural Biology (240 citations), Cancer Research (2.5k citations) and Genetics (2.4k citations). Xiaohui Xie has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Eric S. Lander, Daniel Quang, Lukáš Novotný, Tarjei S. Mikkelsen, B Bernstein, Ben Fry, James Cuff, Randy X. Bian, Michael Kamal and H. Peter Lu. Their work appears in journals such as Bioinformatics, Proceedings of the National Academy of Sciences, Science, BMC Bioinformatics and Nucleic Acids Research.

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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