World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

Hongjun Lu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Hongjun Lu sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Hongjun Lu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Hongjun Lu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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