World's Best Scientists 2026 revealed!
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Sijia Liu
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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
42
Citations
8361
World Ranking
553
National Ranking
79

Computer Science

D-Index
34
Citations
4175
World Ranking
12274
National Ranking
4973

Sijia Liu 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 Sijia Liu 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: 215 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.

Sijia Liu 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 Sijia Liu 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: 34 D-Index — 16th percentile

16% 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

Sijia Liu is affiliated with Michigan State University in the United States. The research contributions span primarily the field of Computer Science, with a focus on Artificial Intelligence and its intersecting subfields.

The main areas of study covered by their work include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Molecular Biology
  • Computational Mechanics

The scientific topics central to their research portfolio include:

  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Machine Learning and ELM
  • Machine Learning and Data Classification
  • Stochastic Gradient Optimization Techniques

Frequent co-authors collaborating with Sijia Liu include:

  • Pin-Yu Chen
  • Yanzhi Wang
  • Shiyu Chang
  • Yihua Zhang
  • Xue Lin

The venues commonly chosen for disseminating research are varied but concentrated in notable outlets and preprint archives. These include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • E3S Web of Conferences
  • IEEE Signal Processing Magazine
  • Frontiers in Plant Science

Selected recent publications illustrate the scope of their research:

  • "A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications", 2020, IEEE Signal Processing Magazine
  • "4DNvestigator: time series genomic data analysis toolbox", 2021, Nucleus
  • "Enhancing the Phytoremediation of Heavy Metals by Combining Hyperaccumulator and Heavy Metal-Resistant Plant Growth-Promoting Bacteria", 2022, Frontiers in Plant Science
  • "StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs", 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", 2021, arXiv (Cornell University)

Best Publications

  • Clinical information extraction applications: A literature review.

    Yanshan Wang;Liwei Wang;Majid Rastegar-Mojarad;Sungrim Moon

  • A clinical text classification paradigm using weak supervision and deep representation.

    Yanshan Wang;Sunghwan Sohn;Sijia Liu;Feichen Shen

  • A comparison of word embeddings for the biomedical natural language processing

    Yanshan Wang;Sijia Liu;Naveed Afzal;Majid Rastegar-Mojarad

  • AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks

    Chun-Chen Tu;Paishun Ting;Pin-Yu Chen;Sijia Liu

  • Topology attack and defense for graph neural networks: An optimization perspective

    Kaidi Xu;Hongge Chen;Sijia Liu;Pin Yu Chen

  • Adversarial T-shirt! Evading Person Detectors in A Physical World

    Kaidi Xu;Gaoyuan Zhang;Sijia Liu;Quanfu Fan

  • On the convergence of a class of Adam-type algorithms for non-convex optimization

    Xiangyi Chen;Sijia Liu;Ruoyu Sun;Mingyi Hong

  • Deep learning and alternative learning strategies for retrospective real-world clinical data

    David Chen;Sijia Liu;Paul Kingsbury;Sunghwan Sohn

  • A Generalized SOC-OCV Model for Lithium-Ion Batteries and the SOC Estimation for LNMCO Battery

    Caiping Zhang;Jiuchun Jiang;Linjing Zhang;Sijia Liu

  • Sensor Selection for Estimation with Correlated Measurement Noise

    Sijia Liu;Sundeep Prabhakar Chepuri;Makan Fardad;Engin Masazade

  • Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

    Tianlong Chen;Sijia Liu;Shiyu Chang;Yu Cheng

  • Clinical concept extraction: A methodology review

    Sunyang Fu;Sunyang Fu;David Chen;Huan He;Sijia Liu

  • A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications

    Sijia Liu;Pin-Yu Chen;Bhavya Kailkhura;Gaoyuan Zhang

  • Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation.

    Andrew Wen;Sunyang Fu;Sungrim Moon;Mohamed El Wazir

  • Learning sparse graphs under smoothness prior

    Sundeep Prabhakar Chepuri;Sijia Liu;Geert Leus;Alfred O. Hero

  • CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks.

    Akhilan Boopathy;Tsui-Wei Weng;Pin-Yu Chen;Sijia Liu

  • Adversarial Robustness vs. Model Compression, or Both?

    Shaokai Ye;Xue Lin;Kaidi Xu;Sijia Liu

  • Structured Adversarial Attack: Towards General Implementation and Better Interpretability

    Kaidi Xu;Sijia Liu;Pu Zhao;Pin-Yu Chen

  • Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

    Ren Wang;Gaoyuan Zhang;Sijia Liu;Pin-Yu Chen

  • Optimal Periodic Sensor Scheduling in Networks of Dynamical Systems

    Sijia Liu;Makan Fardad;Engin Masazade;Pramod K. Varshney

  • The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models

    Tianlong Chen;Jonathan Frankle;Shiyu Chang;Sijia Liu

  • Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications

    Sijia Liu;Jie Chen;Pin-Yu Chen;Alfred O. Hero

  • Understanding and Improving Visual Prompting: A Label-Mapping Perspective

    Unknown

  • On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization

    Xiangyi Chen;Sijia Liu;Ruoyu Sun;Mingyi Hong

  • Sparsity-Aware Sensor Collaboration for Linear Coherent Estimation

    Sijia Liu;Swarnendu Kar;Makan Fardad;Pramod K. Varshney

  • On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method

    Pu Zhao;Sijia Liu;Pin-Yu Chen;Nghia Hoang

  • A Memristor-Based Optimization Framework for Artificial Intelligence Applications

    Sijia Liu;Yanzhi Wang;Makan Fardad;Pramod K. Varshney

  • ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization

    Xiangyi Chen;Sijia Liu;Kaidi Xu;Xingguo Li

  • signSGD via Zeroth-Order Oracle.

    Sijia Liu;Pin Yu Chen;Xiangyi Chen;Mingyi Hong

  • Proactive Image Manipulation Detection

    Unknown

  • StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs.

    Tianyun Zhang;Shaokai Ye;Xiaoyu Feng;Xiaolong Ma

  • MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge

    Geng Yuan;Xiaolong Ma;Wei Niu;Zhengang Li

  • 4DNvestigator: time series genomic data analysis toolbox.

    Stephen Lindsly;Can Chen;Sijia Liu;Scott Ronquist

  • Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing

    Sanghamitra Dutta;Dennis Wei;Hazar Yueksel;Pin-Yu Chen

  • Adversarial Robustness vs Model Compression, or Both?

    Shaokai Ye;Kaidi Xu;Sijia Liu;Jan-Henrik Lambrechts

Frequent Co-Authors

Pin-Yu Chen
Pin-Yu Chen IBM (United States)
Yanzhi Wang
Yanzhi Wang Northeastern University
Pramod K. Varshney
Pramod K. Varshney Syracuse University
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Luca Daniel
Luca Daniel MIT
Hongfang Liu
Hongfang Liu The University of Texas Health Science Center at Houston
Bin Ren
Bin Ren Xiamen University
Shiyu Chang
Shiyu Chang University of California, Santa Barbara
Mingyi Hong
Mingyi Hong University of Minnesota
Sunghwan Sohn
Sunghwan Sohn Mayo Clinic

External Links

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Best Scientists Citing Sijia Liu

Yanzhi Wang

Yanzhi Wang

Northeastern University

Publications: 37

Zhangyang Wang

Zhangyang Wang

The University of Texas at Austin

Publications: 32

Cho-Jui Hsieh

Cho-Jui Hsieh

University of California, Los Angeles

Publications: 25

Pramod K. Varshney

Pramod K. Varshney

Syracuse University

Publications: 23

Geert Leus

Geert Leus

Delft University of Technology

Publications: 21

Pin-Yu Chen

Pin-Yu Chen

IBM (United States)

Publications: 20

Weige Zhang

Weige Zhang

Beijing Jiaotong University

Publications: 14

Yu Cheng

Yu Cheng

Microsoft (United States)

Publications: 14

Jinfeng Yi

Jinfeng Yi

IBM (United States)

Publications: 14

Sunghwan Sohn

Sunghwan Sohn

Mayo Clinic

Publications: 14

Martin Vechev

Martin Vechev

ETH Zurich

Publications: 13

Jingjing Liu

Jingjing Liu

MIT

Publications: 13

Huan Zhang

Huan Zhang

University of California, Los Angeles

Publications: 12

Zhe Gan

Zhe Gan

Microsoft (United States)

Publications: 12

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