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D-Index
38
Citations
4882
World Ranking
731
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115

Computer Science

D-Index
39
Citations
5392
World Ranking
9870
National Ranking
4153

Deliang Fan 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 Deliang Fan 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: 217 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Deliang Fan 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 Deliang Fan 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: 39 D-Index — 33rd percentile

33% 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

  • 2025 - Research.com Rising Stars Award

Overview

Deliang Fan is affiliated with Johns Hopkins University in the United States. Their research spans multiple domains in computer science and engineering, with significant contributions to electrical and electronic engineering, artificial intelligence, and computer vision.

Their work prominently covers the fields of:

  • Advanced Memory and Neural Computing
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • RNA Research and Splicing
  • RNA modifications and cancer

They have published extensively across various venues, notable among these are:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Transactions on Magnetics

Some of their recent papers include:

  • "2D MoS2-Based Threshold Switching Memristor for Artificial Neuron" (2020), published in IEEE Electron Device Letters
  • "Non-Structured DNN Weight Pruning-Is It Beneficial in Any Platform?" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories" (2022), published in 2022 IEEE Symposium on Security and Privacy (SP)
  • "DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips" (2020), published in arXiv (Cornell University)
  • "ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist collaborates regularly with multiple researchers, including:

  • Adnan Siraj Rakin
  • Jae-sun Seo
  • Zhezhi He
  • Li Yang
  • Jian Meng

Best Publications

  • Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack

    Zhezhi He;Adnan Siraj Rakin;Deliang Fan

  • Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search

    Adnan Siraj Rakin;Zhezhi He;Deliang Fan

  • Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives

    Xuanyao Fong;Yusung Kim;Karthik Yogendra;Deliang Fan

  • TBT: Targeted Neural Network Attack With Bit Trojan

    Adnan Siraj Rakin;Zhezhi He;Deliang Fan

  • Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping

    Zhezhi He;Jie Lin;Rickard Ewetz;Jiann-Shiun Yuan

  • Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?

    Xiaolong Ma;Sheng Lin;Shaokai Ye;Zhezhi He

  • A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels

    Yifan Ding;Liqiang Wang;Deliang Fan;Boqing Gong

  • MRIMA: An MRAM-Based In-Memory Accelerator

    Shaahin Angizi;Zhezhi He;Amro Awad;Deliang Fan

  • DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

    Adnan Siraj Rakin;Hafizul Islam Chowdhuryy;Fan Yao;Deliang Fan

  • CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator

    Shaahin Angizi;Zhezhi He;Adnan Siraj Rakin;Deliang Fan

  • ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

    Unknown

  • STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks

    Deliang Fan;Yong Shim;Anand Raghunathan;Kaushik Roy

  • Coupled Spin Torque Nano Oscillators for Low Power Neural Computation

    Karthik Yogendra;Deliang Fan;Kaushik Roy

  • 2D MoS 2 -Based Threshold Switching Memristor for Artificial Neuron

    Durjoy Dev;Adithi Krishnaprasad;Mashiyat S. Shawkat;Zhezhi He

  • Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing

    Deliang Fan;Mrigank Sharad;Abhronil Sengupta;Kaushik Roy

  • T-BFA: Targeted Bit-Flip Adversarial Weight Attack.

    Adnan Siraj Rakin;Zhezhi He;Jingtao Li;Fan Yao

  • Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

    Zhezhi He;Adnan Siraj Rakin;Jingtao Li;Chaitali Chakrabarti

  • Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation

    Zhezhi He;Deliang Fan

  • DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips

    Fan Yao;Adnan Siraj Rakin;Deliang Fan

  • Spin-neurons: A possible path to energy-efficient neuromorphic computers

    Mrigank Sharad;Deliang Fan;Kaushik Roy

  • Ultra low power associative computing with spin neurons and resistive crossbar memory

    Mrigank Sharad;Deliang Fan;Kaushik Roy

  • AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM

    Shaahin Angizi;Jiao Sun;Wei Zhang;Deliang Fan

  • GraphiDe: A Graph Processing Accelerator leveraging In-DRAM-Computing

    Shaahin Angizi;Deliang Fan

  • Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers

    Mrigank Sharad;D. Fan;Kaushik Roy

Frequent Co-Authors

Shaahin Angizi
Shaahin Angizi New Jersey Institute of Technology
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Boqing Gong
Boqing Gong Google (United States)
Ronald F. DeMara
Ronald F. DeMara University of Central Florida
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Yanzhi Wang
Yanzhi Wang Northeastern University
Jae-sun Seo
Jae-sun Seo Cornell University
Jie Han
Jie Han University of Alberta
Yu Cao
Yu Cao University of Minnesota
Jinfeng Yi
Jinfeng Yi IBM (United States)

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