World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7562
World Ranking
11064
National Ranking
4597

Overview

Xue-wen Chen is affiliated with Wayne State University in the United States. Their research contributions span multiple specialized fields within engineering, with a primary focus on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Soil Science, and Atomic and Molecular Physics, and Optics.

The body of work produced by Chen covers various main topics, including:

  • Soil Carbon and Nitrogen Dynamics
  • Plasmonic and Surface Plasmon Research
  • Near-Field Optical Microscopy
  • Photonic and Optical Devices
  • Metallurgy and Material Forming
  • Photonic Crystals and Applications
  • Gold and Silver Nanoparticles Synthesis and Applications

Chen has published their research in a diverse range of scientific venues. The most frequent publication sources include:

  • arXiv (Cornell University)
  • Materials
  • SSRN Electronic Journal
  • Soil and Tillage Research
  • European Journal of Soil Biology

Some recent noteworthy papers exemplify the scope of their work:

  • Bright single-nanocrystal upconversion at sub 0.5 W cm−2 irradiance via coupling to single nanocavity mode, 2022, Nature Photonics
  • A Novel Quantitative Index of Meibomian Gland Dysfunction, the Meibomian Gland Tortuosity, 2020, Translational Vision Science & Technology
  • Effect of long-term tillage and cropping system on portion of fungal and bacterial necromass carbon in soil organic carbon, 2021, Soil and Tillage Research
  • Greater fungal and bacterial biomass in soil large macropores under no-tillage than mouldboard ploughing, 2020, European Journal of Soil Biology
  • The impact of cropping system, tillage and season on shaping soil fungal community in a long-term field trial, 2020, European Journal of Soil Biology

Chen frequently collaborates with a core group of co-authors. These include:

  • Aizhen Liang
  • Shixiu Zhang
  • Neil B. McLaughlin
  • Pu Zhang
  • Yan Gao

This collaboration indicates a multidisciplinary approach and active participation in joint research efforts.

Best Publications

  • Big Data Deep Learning: Challenges and Perspectives

    Xue-Wen Chen;Xiaotong Lin

  • Machine learning and its applications to biology.

    Adi L Tarca;Vincent J Carey;Xue-wen Chen;Roberto Romero

  • Prediction of protein--protein interactions using random decision forest framework

    Xue-Wen Chen;Mei Liu

  • Combating the Small Sample Class Imbalance Problem Using Feature Selection

    M Wasikowski;Xue-wen Chen

  • Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

    Mei Liu;Yonghui Wu;Yukun Chen;Jingchun Sun

  • FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems

    Xue-wen Chen;Michael Wasikowski

  • Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm

    Xue-Wen Chen;G. Anantha;Xiaotong Lin

  • On Position-Specific Scoring Matrix for Protein Function Prediction

    Jong cheol Jeong;Xiaotong Lin;Xue-wen Chen

  • Learning Deep Networks from Noisy Labels with Dropout Regularization

    Ishan Jindal;Matthew Nokleby;Xuewen Chen

  • Facial expression recognition: a clustering-based approach

    Xue-wen Chen;Thomas Huang

  • Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data

    J. S. Yu;S. Ongarello;R. Fiedler;X. W. Chen

  • Sequence-based prediction of protein interaction sites with an integrative method

    Xue-wen Chen;Jong Cheol Jeong

  • Sparse representation and learning in visual recognition: Theory and applications

    Hong Cheng;Zicheng Liu;Lu Yang;Xuewen Chen

  • An improved branch and bound algorithm for feature selection

    Xue-wen Chen

  • An effective structure learning method for constructing gene networks

    Xue-Wen Chen;Gopalakrishna Anantha;Xinkun Wang

  • SMO-based pruning methods for sparse least squares support vector machines

    Xiangyan Zeng;Xue-wen Chen

  • Mining adverse drug reactions from online healthcare forums using hidden Markov model.

    Hariprasad Sampathkumar;Xue wen Chen;Bo Luo

  • A Markov blanket-based method for detecting causal SNPs in GWAS

    Bing Han;Meeyoung Park;Xue wen Chen

  • Enhanced recursive feature elimination

    Xue-wen Chen;Jong Cheol Jeong

  • Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data

    Jiangsheng Yu;Xue-Wen Chen

  • Kernel-based distance metric learning for microarray data classification

    Huilin Xiong;Xue Wen Chen

Frequent Co-Authors

Hong Cheng
Hong Cheng University of Electronic Science and Technology of China
David Casasent
David Casasent Carnegie Mellon University
Ya Zhang
Ya Zhang Shanghai Jiao Tong University
Silvia Conforto
Silvia Conforto Roma Tre University
Hua Xu
Hua Xu Yale University
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Zicheng Liu
Zicheng Liu Microsoft (United States)
Ruoming Jin
Ruoming Jin Kent State University
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Xun Wang
Xun Wang Tsinghua University

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