World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5183
World Ranking
10848
National Ranking
4516

Ming-Yang Kao 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 Ming-Yang Kao 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Ming-Yang Kao 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 Ming-Yang Kao 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: 37 D-Index — 27th percentile

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

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

Overview

Ming-Yang Kao is a researcher affiliated with Northwestern University in the United States. The academic profile of this scientist reflects active involvement in research activities, though specific fields of study, subfields, main topics, and publication venues are not detailed in the available data.

There are no recent papers listed, and no record of collaborations with frequent co-authors is provided. Similarly, there is no information regarding awards or recognitions that Ming-Yang Kao may have received.

The lack of detailed publication records, including book publications or frequent publication venues, suggests the profile is centered primarily on the known institutional affiliation without further bibliometric or topical data made available.

This overview maintains focus on the verified aspects of the scientist's career, specifying the institution with which they are associated, while omitting details that are not supplied.

Best Publications

  • Hamsa: fast signature generation for zero-day polymorphic worms with provable attack resilience

    Zhichun Li;Manan Sanghi;Yan Chen;Ming-Yang Kao

  • A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry.

    Ting Chen;Ming-Yang Kao;Matthew Tepel;John Rush

  • Complexities for Generalized Models of Self-Assembly

    Gagan Aggarwal;Qi Cheng;Michael H. Goldwasser;Ming-Yang Kao

  • Searching in an Unknown Environment

    Ming-Yang Kao;John H. Reif;Stephen R. Tate

  • Encyclopedia of Algorithms

    Ming Yang Kao

  • Reversible sketches: enabling monitoring and analysis over high-speed data streams

    Robert Schweller;Zhichun Li;Yan Chen;Yan Gao

  • Load balancing in the L/sub p/ norm

    B. Awerbuch;Y. Azar;E.F. Grove;Ming-Yang Kao

  • Reducing tile complexity for self-assembly through temperature programming

    Ming-Yang Kao;Robert Schweller

  • Compact Encodings of Planar Graphs via Canonical Orderings and Multiple Parentheses

    Richie Chih-Nan Chuang;Ashim Garg;Xin He;Ming-Yang Kao

  • Parallel depth-first search in general directed graphs

    A. Aggarwal;R. J. Anderson;M.-Y. Kao

  • Searching in an unknown environment: an optimal randomized algorithm for the cow-path problem

    Ming-Yang Kao;John H. Reif;Stephen R. Tate

  • Optimal broadcast in all-port wormhole-routed hypercubes

    Ching-Tien Ho;Ming-Yang Kao

  • Scan-first search and sparse certificates: an improved parallel algorithm for k -vertex connectivity

    Joseph Cheriyan;Ming-Yang Kao;Ramakrishna Thurimella

  • Reducing randomness via irrational numbers

    Zhi-Zhong Chen;Ming-Yang Kao

  • Complexities for generalized models of self-assembly

    Gagan Aggarwal;Michael H. Goldwasser;Ming-Yang Kao;Robert T. Schweller

  • Optimal online scheduling of parallel jobs with dependencies

    Anja Feldmann;Ming-Yang Kao;Jiří Sgall;Shang-Hua Teng

  • Linear-time succinct encodings of planar graphs via canonical orderings

    X. He;M.-Y. Kao;H.-I. Lu

  • Predicting RNA secondary structures with arbitrary pseudoknots by maximizing the number of stacking pairs

    S. Ieong;Ming-Yang Kao;Tak-Wah Lam;Wing-Kin Sung

  • Data Security Equals Graph Connectivity

    Ming-Yang Kao

  • Reducing Randomness via Irrational Numbers

    Zhi-Zhong Chen;Ming-Yang Kao

  • Parallel depth-first search in general directed graphs

    Alok Aggarwal;Richard J. Anderson;Ming-Yang Kao

  • Optimal Constructions of Hybrid Algorithms

    Ming-Yang Kao;Yuan Ma;Michael Sipser;Yiqun Yin

Frequent Co-Authors

Wing-Kin Sung
Wing-Kin Sung Chinese University of Hong Kong
Tak-Wah Lam
Tak-Wah Lam University of Hong Kong
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Bhaskar DasGupta
Bhaskar DasGupta University of Illinois at Chicago
Shang-Hua Teng
Shang-Hua Teng University of Southern California
Piotr Berman
Piotr Berman Boston University
Siu-Ming Yiu
Siu-Ming Yiu University of Hong Kong
James Aspnes
James Aspnes Yale University
Francis Y. L. Chin
Francis Y. L. Chin University of Hong Kong
Yan Chen
Yan Chen Northwestern University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering Computer Science studies in the USA opens the door to a range of flexible online degrees and professional certification options. For those interested in cutting-edge technology, a data scientist degree can be a strategic choice, with universities offering affordable online programs. These degrees are highly valued across industries and can lead to lucrative positions.

If you are drawn to innovation in hardware, communications, or automation, exploring online electrical engineering courses USA can expand your career options. Many reputable institutions now offer entirely online engineering degrees with flexible learning schedules.

Not all career advancements require long study periods. Opting for certifications that pay well is a smart way to boost your earning potential or specialize in key areas quickly. These certifications can complement your degree and make your profile stand out to employers.

For those eager to fast-track their education, a fastest online master's degree can save both time and money. Accelerated programs help you gain advanced skills without putting your career on hold.

Best Scientists Citing Ming-Yang Kao

Trending Scientists

Recently Published Articles