World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
22945
World Ranking
1852
National Ranking
254

Overview

Wei Fan is affiliated with Tencent in China and has contributed extensively to the fields of Engineering and Computer Science. Their research spans multiple subfields including Control and Systems Engineering, Artificial Intelligence, Analytical Chemistry, Mechanical Engineering, and Industrial and Manufacturing Engineering.

The scientist's work covers a range of topics with considerable focus on Fault Detection and Control Systems, Mineral Processing and Grinding, Spectroscopy and Chemometric Analyses, Water Quality Monitoring and Analysis, Advanced Statistical Process Monitoring, Topic Modeling, and Air Quality Monitoring and Forecasting.

Wei Fan has published frequently in several academic venues. Notable among these are:

  • The Canadian Journal of Chemical Engineering
  • Foods
  • SSRN Electronic Journal
  • Energy
  • Journal of the Taiwan Institute of Chemical Engineers

They have authored and co-authored several papers, including:

  • "Nano-Strategies for Enhancing the Bioavailability of Tea Polyphenols: Preparation, Applications, and Challenges" (2022), published in Foods
  • "Multiplex Graph Neural Network for Extractive Text Summarization" (2021), published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Dynamic Probabilistic Predictable Feature Analysis for Multivariate Temporal Process Monitoring" (2022), published in IEEE Transactions on Control Systems Technology
  • "Study on Process Optimization and Antioxidant Activity of Polysaccharide from Bletilla striata Extracted via Deep Eutectic Solvents" (2023), published in Molecules
  • "A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills" (2021), published in IEEE Access

The scientist maintains collaborative relationships with several frequent co-authors. Among these are Haiquan Yu, Cong Yu, Fengqi Si, Shaojun Ren, and Qinqin Zhu.

Best Publications

  • Mining concept-drifting data streams using ensemble classifiers

    Haixun Wang;Wei Fan;Philip S. Yu;Jiawei Han

  • Distributed data mining in credit card fraud detection

    P.K. Chan;W. Fan;A.L. Prodromidis;S.J. Stolfo

  • Mining big data: current status, and forecast to the future

    Wei Fan;Albert Bifet

  • AdaCost: Misclassification Cost-Sensitive Boosting

    Wei Fan;Salvatore J. Stolfo;Junxin Zhang;Philip K. Chan

  • Cost-based modeling for fraud and intrusion detection: results from the JAM project

    S.J. Stolfo;Wei Fan;Wenke Lee;A. Prodromidis

  • Method and system for using intelligent agents for financial transactions, services, accounting, and advice

    Daniel Schutzer;William Hull Forster;Huanrui Hu;Wenke Lee

  • Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation

    Qi Li;Yaliang Li;Jing Gao;Bo Zhao

  • A Survey on Truth Discovery

    Yaliang Li;Jing Gao;Chuishi Meng;Qi Li

  • Toward cost-sensitive modeling for intrusion detection and response

    Wenke Lee;Wei Fan;Matthew Miller;Salvatore J. Stolfo

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

    Wentao Zhu;Yufang Huang;Liang Zeng;Xuming Chen

  • ViST: a dynamic index method for querying XML data by tree structures

    Haixun Wang;Sanghyun Park;Wei Fan;Philip S. Yu

  • DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

    Wentao Zhu;Chaochun Liu;Wei Fan;Xiaohui Xie

  • Real time data mining-based intrusion detection

    Wenke Lee;S.J. Stolfo;P.K. Chan;E. Eskin

  • Knowledge transfer via multiple model local structure mapping

    Jing Gao;Wei Fan;Jing Jiang;Jiawei Han

  • A confidence-aware approach for truth discovery on long-tail data

    Qi Li;Yaliang Li;Jing Gao;Lu Su

  • Systematic data selection to mine concept-drifting data streams

    Wei Fan

  • Cross-feature analysis for detecting ad-hoc routing anomalies

    Yi-an Huang;Wei Fan;Wenke Lee;P.S. Yu

  • On community outliers and their efficient detection in information networks

    Jing Gao;Feng Liang;Wei Fan;Chi Wang

  • A general framework for mining concept-drifting data streams with skewed distributions

    Jing Gao;Wei Fan;Jiawei Han;Philip S. Yu

  • Using artificial anomalies to detect unknown and known network intrusions

    Wei Fan;M. Miller;S.J. Stolfo;Wenke Lee

Frequent Co-Authors

Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Jing Gao
Jing Gao Purdue University West Lafayette
Nan Du
Nan Du Tencent (China)
Yaliang Li
Yaliang Li Alibaba Group (China)
Haixun Wang
Haixun Wang Instacart
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Salvatore J. Stolfo
Salvatore J. Stolfo Columbia University
Xiaohui Xie
Xiaohui Xie University of California, Irvine
Wenke Lee
Wenke Lee Georgia Institute of Technology
Jieping Ye
Jieping Ye Alibaba Group (China)

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