World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
3993
World Ranking
11835
National Ranking
4829

Bo Yuan 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 Bo Yuan 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: 163 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Bo Yuan 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 Bo Yuan 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Bo Yuan is affiliated with Rutgers, The State University of New Jersey in the United States. Their research spans multiple fields with a primary focus on computer science and engineering.

The main areas of study include:

  • Computer Science
  • Engineering

Within these broad fields, their subfields of expertise are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Computer Networks and Communications

Bo Yuan's primary research topics cover advanced and specialized applications such as:

  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Advanced Malware Detection Techniques
  • Advanced Wireless Communication Techniques
  • Advanced Image and Video Retrieval Techniques
  • Advanced Memory and Neural Computing

They have published recent papers in a variety of scientific venues, including:

  • "Defective UiO-66-NH2 monoliths for optimizing CO2 capture performance" (2023) in Chemical Engineering Journal
  • "Ultrafast Degradation and High Adsorption Capability of a Sulfur Mustard Simulant under Ambient Conditions Using Granular UiO-66-NH2 Metal-Organic Gels" (2022) in ACS Applied Materials & Interfaces
  • "Audio-domain position-independent backdoor attack via unnoticeable triggers" (2022) in Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
  • "Metasurface on integrated photonic platform: from mode converters to machine learning" (2022) in Nanophotonics
  • "An efficient utility-list based high-utility itemset mining algorithm" (2022) in Applied Intelligence

The most frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal
  • Chemical Engineering Journal
  • IEEE Transactions on Computers

Bo Yuan frequently collaborates with several researchers, notably:

  • Yingying Chen
  • Siyu Liao
  • Cong Shi
  • Huy Phan
  • Lingyi Huang

In addition to journal articles and conference papers, they have contributed to book publications, including:

  • Human Exposure to Chlorinated Paraffins in Scandinavia (2023) published by TemaNord

Best Publications

  • Detecting functional modules in the yeast protein--protein interaction network

    Jingchun Chen;Bo Yuan

  • NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization

    Naiyang Guan;Dacheng Tao;Zhigang Luo;Bo Yuan

  • Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent

    Naiyang Guan;Dacheng Tao;Zhigang Luo;Bo Yuan

  • Online Nonnegative Matrix Factorization With Robust Stochastic Approximation

    Naiyang Guan;Dacheng Tao;Zhigang Luo;Bo Yuan

  • CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices

    Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li

  • Early Stopping Criteria for Energy-Efficient Low-Latency Belief-Propagation Polar Code Decoders

    Bo Yuan;Keshab K. Parhi

  • C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

    Shuo Wang;Zhe Li;Caiwen Ding;Bo Yuan

  • Non-Negative Patch Alignment Framework

    Naiyang Guan;Dacheng Tao;Zhigang Luo;Bo Yuan

  • CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices

    Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li

  • SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

    Ao Ren;Zhe Li;Caiwen Ding;Qinru Qiu

  • Low-Latency Successive-Cancellation Polar Decoder Architectures Using 2-Bit Decoding

    Bo Yuan;Keshab K. Parhi

  • A draft annotation and overview of the human genome

    Fred A Wright;William J Lemon;Wei D Zhao;Russell Sears

  • Low-Latency Successive-Cancellation List Decoders for Polar Codes With Multibit Decision

    Bo Yuan;Keshab K. Parhi

  • Reduced-latency SC polar decoder architectures

    Chuan Zhang;Bo Yuan;Keshab K. Parhi

  • Architecture optimizations for BP polar decoders

    Bo Yuan;Keshab K. Parhi

  • Energy-efficient scheduling on heterogeneous multi-core architectures

    Jason Cong;Bo Yuan

  • AdvPulse: Universal, Synchronization-free, and Targeted Audio Adversarial Attacks via Subsecond Perturbations

    Zhuohang Li;Yi Wu;Jian Liu;Yingying Chen

  • Efficient hardware architecture of softmax layer in deep neural network

    Bo Yuan

  • Real-Time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems

    Yi Xie;Cong Shi;Zhuohang Li;Jian Liu

  • Towards acceleration of deep convolutional neural networks using stochastic computing

    Ji Li;Ao Ren;Zhe Li;Caiwen Ding

  • PermDNN: efficient compressed DNN architecture with permuted diagonal matrices

    Chunhua Deng;Siyu Liao;Yi Xie;Keshab K. Parhi

  • Assembly, Annotation, and Integration of UNIGENE Clusters into the Human Genome Draft

    Degen Zhuo;Wei D. Zhao;Fred A. Wright;Hee Yung Yang

  • Practical Adversarial Attacks Against Speaker Recognition Systems

    Zhuohang Li;Cong Shi;Yi Xie;Jian Liu

  • HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks

    Zhe Li;Ji Li;Ao Ren;Ruizhe Cai

  • Automated malware detection using artifacts in forensic memory images

    Unknown

  • GoSPA: an energy-efficient high-performance globally optimized sparse convolutional neural network accelerator

    Chunhua Deng;Yang Sui;Siyu Liao;Xuehai Qian

  • DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks

    Zhe Li;Ao Ren;Ji Li;Qinru Qiu

  • SC-DCNN

    Unknown

  • Enabling Fast and Universal Audio Adversarial Attack Using Generative Model.

    Yi Xie;Zhuohang Li;Cong Shi;Jian Liu

  • TIE: energy-efficient tensor train-based inference engine for deep neural network

    Chunhua Deng;Fangxuan Sun;Xuehai Qian;Jun Lin

  • SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

    Ao Ren;Ji Li;Zhe Li;Caiwen Ding

Frequent Co-Authors

Yanzhi Wang
Yanzhi Wang Northeastern University
Keshab K. Parhi
Keshab K. Parhi University of Minnesota
Qinru Qiu
Qinru Qiu Syracuse University
Zhongfeng Wang
Zhongfeng Wang Nanjing University
Xuehai Qian
Xuehai Qian Tsinghua University
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Jian Tang
Jian Tang Syracuse University
Fred A. Wright
Fred A. Wright North Carolina State University
Ralf Krahe
Ralf Krahe The University of Texas MD Anderson Cancer Center
Albert de la Chapelle
Albert de la Chapelle The Ohio State University

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