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Bay Vo

D-Index & Metrics

Computer Science

D-Index
33
Citations
3851
World Ranking
12783
National Ranking
8

Bay Vo 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 Bay Vo 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: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Bay Vo 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 Bay Vo sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Bay Vo is affiliated with Ho Chi Minh City University of Technology in Vietnam. Their research contributions are primarily within the field of Computer Science, focusing on several specialized subfields and topics.

The main fields of study in which Bay Vo has published include:

  • Computer Science (123 publications)

The subfields of study frequently addressed in their work include:

  • Artificial Intelligence (38 publications)
  • Information Systems (38 publications)
  • Computational Theory and Mathematics (25 publications)
  • Signal Processing (13 publications)
  • Computer Networks and Communications (7 publications)

Bay Vo's research topics cover areas such as:

  • Data Mining Algorithms and Applications (64 publications)
  • Rough Sets and Fuzzy Logic (44 publications)
  • Data Management and Algorithms (22 publications)
  • Imbalanced Data Classification Techniques (20 publications)
  • Advanced Database Systems and Queries (12 publications)
  • Data Stream Mining Techniques (8 publications)
  • Topic Modeling (8 publications)

Their recent published papers include:

  • "A multiple multilayer perceptron neural network with an adaptive learning algorithm for thyroid disease diagnosis in the internet of medical things," 2020, The Journal of Supercomputing
  • "Improving security using SVM-based anomaly detection: issues and challenges," 2020, Soft Computing
  • "Approximate high utility itemset mining in noisy environments," 2020, Knowledge-Based Systems
  • "RHUPS," 2021, ACM Transactions on Intelligent Systems and Technology
  • "EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits," 2022, Expert Systems with Applications

Bay Vo collaborates frequently with several coauthors, including:

  • Loan T. T. Nguyen (24 coauthored papers)
  • Unil Yun (17 coauthored papers)
  • Trinh D. D. Nguyen (8 coauthored papers)
  • Jerry Chun-Wei Lin (7 coauthored papers)
  • Heonho Kim (6 coauthored papers)

Their work often appears in recurring publication venues, such as:

  • Information Sciences (8 publications)
  • Applied Intelligence (6 publications)
  • IEEE Access (5 publications)
  • Expert Systems with Applications (2 publications)
  • Knowledge-Based Systems (2 publications)

Best Publications

  • A survey of itemset mining

    Philippe Fournier‐Viger;Jerry Chun‐Wei Lin;Bay Vo;Bay Vo;Tin Truong Chi

  • Improving electric energy consumption prediction using CNN and Bi-LSTM

    Tuong Le;Minh Thanh Vo;Bay Vo;Eenjun Hwang

  • A graph-based CNN-LSTM stock price prediction algorithm with leading indicators

    Jimmy Ming-Tai Wu;Zhongcui Li;Norbert Herencsar;Bay Vo

  • A new method for mining Frequent Weighted Itemsets based on WIT-trees

    Bay Vo;Frans Coenen;Bac Le

  • DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets

    Bay Vo;Tzung-Pei Hong;Bac Le

  • Mining frequent itemsets using the N-list and subsume concepts

    Bay Vo;Tuong Le;Frans Coenen;Tzung-Pei Hong

  • A multiple multilayer perceptron neural network with an adaptive learning algorithm for thyroid disease diagnosis in the internet of medical things

    Mehdi Hosseinzadeh;Omed Hassan Ahmed;Marwan Yassin Ghafour;Fatemeh Safara

  • Improving security using SVM-based anomaly detection: issues and challenges

    Mehdi Hosseinzadeh;Mehdi Hosseinzadeh;Amir Masoud Rahmani;Bay Vo;Moazam Bidaki

  • Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review

    Mehdi Hosseinzadeh;Mehdi Hosseinzadeh;Marwan Yassin Ghafour;Hawkar Kamaran Hama;Bay Vo

  • Mining high-utility itemsets in dynamic profit databases

    Loan T.T. Nguyen;Phuc Nguyen;Trinh D.D. Nguyen;Bay Vo

  • A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction

    Tuong Le;Minh Thanh Vo;Bay Vo;Mi Young Lee

  • A lattice-based approach for mining most generalization association rules

    Bay Vo;Tzung-Pei Hong;Bac Le

  • High-Utility Pattern Mining

    Unknown

  • MEI: An efficient algorithm for mining erasable itemsets

    Tuong Le;Bay Vo

  • Classification based on association rules: A lattice-based approach

    Loan T. T. Nguyen;Bay Vo;Tzung-Pei Hong;Hoang Chi Thanh

  • A New Method for Mining High Average Utility Itemsets

    Tien Lu;Bay Vo;Hien T. Nguyen;Tzung-Pei Hong

  • A lattice-based approach for mining high utility association rules

    Thang Mai;Bay Vo;Loan T.T. Nguyen

  • A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting

    Tuong Le;Bay Vo;Hamido Fujita;Ngoc Thanh Nguyen

  • CAR-Miner

    Loan T.T. Nguyen;Bay Vo;Tzung-Pei Hong;Hoang Chi Thanh

  • An efficient and effective algorithm for mining top-rank-k frequent patterns

    Quyen Huynh-Thi-Le;Tuong Le;Bay Vo;Bac Le

  • New similarity measures for single-valued neutrosophic sets with applications in pattern recognition and medical diagnosis problems

    Jia Syuen Chai;Ganeshsree Selvachandran;Florentin Smarandache;Vassilis C. Gerogiannis

  • An efficient method for mining high utility closed itemsets

    Loan T.T. Nguyen;Vinh V. Vu;Mi T.H. Lam;Thuy T.M. Duong

  • A novel approach for mining maximal frequent patterns

    Bay Vo;Sang Pham;Tuong Le;Zhi-Hong Deng

  • Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases

    Unil Yun;Hyoju Nam;Jongseong Kim;Heonho Kim

Frequent Co-Authors

Tzung-Pei Hong
Tzung-Pei Hong National University of Kaohsiung
Witold Pedrycz
Witold Pedrycz University of Alberta
Unil Yun
Unil Yun Sejong University
Vaclav Snasel
Vaclav Snasel Technical University of Ostrava
Philippe Fournier-Viger
Philippe Fournier-Viger Shenzhen University
Mehdi Hosseinzadeh
Mehdi Hosseinzadeh Washington State University
Sung Wook Baik
Sung Wook Baik Sejong University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Frans Coenen
Frans Coenen University of Liverpool
Vincent S. Tseng
Vincent S. Tseng National Yang Ming Chiao Tung University

External Links

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Best Scientists Citing Bay Vo

Philippe Fournier-Viger

Philippe Fournier-Viger

Shenzhen University

Publications: 89

Wensheng Gan

Wensheng Gan

Jinan University

Publications: 42

Unil Yun

Unil Yun

Sejong University

Publications: 42

Tzung-Pei Hong

Tzung-Pei Hong

National University of Kaohsiung

Publications: 40

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 22

Han-Chieh Chao

Han-Chieh Chao

Fo Guang University

Publications: 21

Sung Wook Baik

Sung Wook Baik

Sejong University

Publications: 15

Youcef Djenouri

Youcef Djenouri

University of South-Eastern Norway

Publications: 13

Vincent S. Tseng

Vincent S. Tseng

National Yang Ming Chiao Tung University

Publications: 13

Xindong Wu

Xindong Wu

Hefei University of Technology

Publications: 12

Hamido Fujita

Hamido Fujita

University of Technology Malaysia

Publications: 12

Gautam Srivastava

Gautam Srivastava

Brandon University

Publications: 12

Le Hoang Son

Le Hoang Son

Vietnam National University, Hanoi

Publications: 12

Seungmin Rho

Seungmin Rho

Chung-Ang University

Publications: 11

Sebastián Ventura

Sebastián Ventura

University of Córdoba

Publications: 6

Lei Guo

Lei Guo

Beijing University of Posts and Telecommunications

Publications: 5

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