World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
9857
World Ranking
4381
National Ranking
588

Overview

Hongjun Lu was affiliated with the Hong Kong University of Science and Technology in China. Their research primarily focused on the field of Engineering, with specific emphasis on Ocean Engineering and Mechanical Engineering.

The main topics covered in Hongjun Lu's research included:

  • Enhanced Oil Recovery Techniques
  • Reservoir Engineering and Simulation Methods
  • Hydraulic Fracturing and Reservoir Analysis

Throughout their career, Hongjun Lu published work in recognized venues, including the Journal of Computational Methods in Sciences and Engineering.

One of their recent papers was titled "Efficiency prediction and scheme optimization on surfactant flooding based on neural network method and its application in the Ordos Basin", published in 2025 in the Journal of Computational Methods in Sciences and Engineering.

Frequent collaborators in their work included:

  • Yen-Jen Oyang
  • Tingting Wang
  • Yonggang Xie
  • Hui Cheng

Best Publications

  • H-mine: hyper-structure mining of frequent patterns in large databases

    Jian Pei;Jiawei Han;Hongjun Lu;Shojiro Nishio

  • Effective data mining using neural networks

    Hongjun Lu;R. Setiono;Huan Liu

  • Holistic twig joins on indexed XML documents

    Haifeng Jiang;Wei Wang;Hongjun Lu;Jeffrey Xu Yu

  • XR-tree: indexing XML data for efficient structural joins

    Haifeng Jiang;Hongjun Lu;Wei Wang;B.C. Ooi

  • Stabbing the sky: efficient skyline computation over sliding windows

    Xuemin Lin;Yidong Yuan;Wei Wang;Hongjun Lu

  • Text classification without negative examples revisit

    Gabriel Pui Cheong Fung;J.X. Yu;Hongjun Lu;P.S. Yu

  • Condensed cube: an effective approach to reducing data cube size

    Wei Wang;Jianlin Feng;Hongjun Lu;J.X. Yu

  • Cleansing Data for Mining and Warehousing

    Mong-Li Lee;Tok Wang Ling;Hongjun Lu;Yee Teng Ko

  • False positive or false negative: mining frequent itemsets from high speed transactional data streams

    Jeffery Xu Yu;Zhihong Chong;Hongjun Lu;Aoying Zhou

  • Efficient mining of intertransaction association rules

    A.K.H. Tung;Hongjun Lu;Jiawei Han;Ling Feng

  • Beyond intratransaction association analysis: mining multidimensional intertransaction association rules

    Hongjun Lu;Ling Feng;Jiawei Han

  • Path materialization revisited: an efficient storage model for XML data

    Haifeng Jiang;Hongjun Lu;Wei Wang;Jeffrey Xu Yu

  • Exception Rule Mining with a Relative Interestingness Measure

    Farhad Hussain;Huan Liu;Einoshin Suzuki;Hongjun Lu

  • ReCoM: reinforcement clustering of multi-type interrelated data objects

    Jidong Wang;Huajun Zeng;Zheng Chen;Hongjun Lu

  • Efficient processing of XML twig queries with OR-predicates

    Haifeng Jiang;Hongjun Lu;Wei Wang

  • NeuroRule: A Connectionist Approach to Data Mining

    Hongjun Lu;Rudy Setiono;Huan Liu

  • Gorder: an efficient method for KNN join processing

    Chenyi Xia;Hongjun Lu;Beng Chin Ooi;Jing Hu

  • Advanced Web Technologies and Applications

    Jeffrey Xu Yu;Xuemin Lin;Hongjun Lu;Yanchun Zhang

  • Bloom histogram: path selectivity estimation for XML data with updates

    Wei Wang;Haifeng Jiang;Hongjun Lu;Jeffrey Xu Yu

  • Conceptual Modeling – ER 2004

    Paolo Atzeni;Wesley Chu;Hongjun Lu;Shuigeng Zhou

Frequent Co-Authors

Jeffrey Xu Yu
Jeffrey Xu Yu Chinese University of Hong Kong
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Aoying Zhou
Aoying Zhou East China Normal University
Huan Liu
Huan Liu Arizona State University
Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Anthony K. H. Tung
Anthony K. H. Tung National University of Singapore
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Rudy Setiono
Rudy Setiono National University of Singapore
David W. Cheung
David W. Cheung University of Hong Kong

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