World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8943
World Ranking
10513
National Ranking
4402

Xipeng Shen 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 Xipeng Shen 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Xipeng Shen 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 Xipeng Shen 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: 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.

Research.com Recognitions

  • 2018 - ACM Distinguished Member

Overview

Xipeng Shen is affiliated with North Carolina State University in the United States. Their research primarily spans the field of Computer Science, with a strong focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, and Hardware and Architecture.

The scientist's work covers multiple main topics, such as Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Software Engineering Research, Software Testing and Debugging Techniques, Cloud Computing and Resource Management, Advanced Graph Neural Networks, and Advanced Image and Video Retrieval Techniques.

Among the recent papers authored or co-authored by Xipeng Shen are:

  • POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression, 2021, published in IEEE Transactions on Parallel and Distributed Systems
  • TADOC: Text analytics directly on compression, 2020, published in The VLDB Journal
  • Exploring Data Analytics Without Decompression on Embedded GPU Systems, 2021, published in IEEE Transactions on Parallel and Distributed Systems
  • Synchronous Regulation of Donor and Acceptor Microstructure using Thiophene-Derived Non-Halogenated Solvent Additives for Efficient and Stable Organic Solar Cells, 2024, published in Advanced Functional Materials
  • Survey: Exploiting Data Redundancy for Optimization of Deep Learning, 2022, published in ACM Computing Surveys

Xipeng Shen frequently collaborates with a number of researchers, which include:

  • Yanzhi Wang
  • Xiaoyong Du
  • Feng Zhang
  • Wei Niu
  • Hsin-Hsuan Sung

The scientist has published extensively in various venues, with notable numbers of publications in:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • IEEE Transactions on Parallel and Distributed Systems
  • IEEE Transactions on Software Engineering
  • IEEE Transactions on Computers

Xipeng Shen was recognized as an ACM Distinguished Member in 2018.

Best Publications

  • Learning multi-label scene classification

    Matthew R. Boutell;Jiebo Luo;Xipeng Shen;Christopher M. Brown

  • Locality phase prediction

    Xipeng Shen;Yutao Zhong;Chen Ding

  • Tuning for software analytics

    Wei Fu;Tim Menzies;Xipeng Shen

  • On-the-fly elimination of dynamic irregularities for GPU computing

    Eddy Z. Zhang;Yunlian Jiang;Ziyu Guo;Kai Tian

  • Analysis and approximation of optimal co-scheduling on chip multiprocessors

    Yunlian Jiang;Xipeng Shen;Jie Chen;Rahul Tripathi

  • Software behavior oriented parallelization

    Chen Ding;Xipeng Shen;Kirk Kelsey;Chris Tice

  • Program locality analysis using reuse distance

    Yutao Zhong;Xipeng Shen;Chen Ding

  • Array regrouping and structure splitting using whole-program reference affinity

    Yutao Zhong;Maksim Orlovich;Xipeng Shen;Chen Ding

  • A cross-input adaptive framework for GPU program optimizations

    Yixun Liu;Eddy Z. Zhang;Xipeng Shen

  • Does cache sharing on modern CMP matter to the performance of contemporary multithreaded programs

    Eddy Z. Zhang;Yunlian Jiang;Xipeng Shen

  • Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping

    Eddy Z. Zhang;Yunlian Jiang;Ziyu Guo;Xipeng Shen

  • Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup

    Yufei Ding;Yue Zhao;Xipeng Shen;Madanlal Musuvathi

  • Autotuning algorithmic choice for input sensitivity

    Yufei Ding;Jason Ansel;Kalyan Veeramachaneni;Xipeng Shen

  • Complexity analysis and algorithm design for reorganizing data to minimize non-coalesced memory accesses on GPU

    Bo Wu;Zhijia Zhao;Eddy Zheng Zhang;Yunlian Jiang

  • Is reuse distance applicable to data locality analysis on chip multiprocessors

    Yunlian Jiang;Eddy Z. Zhang;Kai Tian;Xipeng Shen

  • Multilabel machine learning and its application to semantic scene classification

    Xipeng Shen;Matthew R. Boutell;Jiebo Luo;Christopher M. Brown

  • Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations

    Bo Wu;Guoyang Chen;Dong Li;Xipeng Shen

  • EffiSha: A Software Framework for Enabling Effficient Preemptive Scheduling of GPU

    Guoyang Chen;Yue Zhao;Xipeng Shen;Huiyang Zhou

  • Locality approximation using time

    Xipeng Shen;Jonathan Shaw;Brian Meeker;Chen Ding

  • Miss Rate Prediction Across Program Inputs and Cache Configurations

    Y. Zhong;S.G. Dropsho;X. Shen;A. Studer

  • Bridging the gap between deep learning and sparse matrix format selection

    Yue Zhao;Jiajia Li;Chunhua Liao;Xipeng Shen

Frequent Co-Authors

Onur Mutlu
Onur Mutlu ETH Zurich
Bin Ren
Bin Ren Xiamen University
Jeffrey S. Vetter
Jeffrey S. Vetter Oak Ridge National Laboratory
Xiaoyong Du
Xiaoyong Du Renmin University of China
Yanzhi Wang
Yanzhi Wang Northeastern University
Yan Solihin
Yan Solihin University of Central Florida
Wenguang Chen
Wenguang Chen Tsinghua University
Michael L. Scott
Michael L. Scott University of Rochester
Sijia Liu
Sijia Liu Michigan State University
Mitsunori Ogihara
Mitsunori Ogihara University of Miami

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

When planning your journey in Computer Science, it's worth exploring related online degrees and flexible career pathways that can complement or enhance your education. One popular option is an online bachelor’s in electrical engineering, providing a solid technical foundation and broadening your career options in tech-driven industries.

For those who wish to quickly boost their employability or specialize in a specific area, there are quick certifications that pay well. These programs can be completed in a few months and often lead to high-demand roles in IT, cybersecurity, or data analytics.

If you're aiming to fast-track your education, consider the quickest online masters degree programs. These accelerated options allow you to earn an advanced degree in as little as a year, helping you enter advanced or management positions sooner.

Still deciding on your next academic step? It’s smart to look into what masters program should i do to find out which fields are most valuable and in demand, ensuring that your time and investment will lead to meaningful career growth.

Best Scientists Citing Xipeng Shen

Trending Scientists