World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7542
World Ranking
9240
National Ranking
3934

Yuejie Chi 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 Yuejie Chi 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: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Yuejie Chi 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 Yuejie Chi 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Yuejie Chi is affiliated with Carnegie Mellon University in the United States and works primarily within the field of Computer Science. Their research encompasses a range of subfields including Artificial Intelligence, Computational Mechanics, Computer Networks and Communications, Management Science and Operations Research, and Computer Vision and Pattern Recognition.

The scientist's publication record highlights a focus on topics such as Reinforcement Learning in Robotics, Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Advanced Bandit Algorithms Research, Privacy-Preserving Technologies in Data, Adaptive Dynamic Programming Control, and Tensor Decomposition and Applications.

Frequent coauthors collaborating with Yuejie Chi include:

  • Yuxin Chen
  • Yuting Wei
  • Laixi Shi
  • Shicong Cen
  • Cong Ma

Yuejie Chi has contributed extensively to several publication venues, with many papers appearing in:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Information Theory
  • SIAM Journal on Optimization
  • Operations Research

Among the recent research works, notable papers include:

  • Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization, 2020, SIAM Journal on Optimization
  • A large collection of real-world pediatric sleep studies, 2022, Scientific Data
  • Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization, 2021, Operations Research
  • Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization, 2020, arXiv (Cornell University)
  • Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent, 2020, arXiv (Cornell University)

Their body of work contributes to advancing techniques in optimization, machine learning, and data-driven methodologies, particularly through investigations into gradient methods and matrix estimation in various application contexts.

Best Publications

  • Sensitivity to Basis Mismatch in Compressed Sensing

    Yuejie Chi;Louis L Scharf;Ali Pezeshki;A Robert Calderbank

  • Robust Spectral Compressed Sensing via Structured Matrix Completion

    Yuxin Chen;Yuejie Chi

  • Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

    Yuejie Chi;Yue M. Lu;Yuxin Chen

  • Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors

    Yuanxin Li;Yuejie Chi

  • Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

    Cong Ma;Kaizheng Wang;Yuejie Chi;Yuxin Chen

  • Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval

    Yuxin Chen;Yuejie Chi;Jianqing Fan;Cong Ma

  • Spectral Compressed Sensing via Structured Matrix Completion

    Yuxin Chen;Yuejie Chi

  • Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming

    Yuxin Chen;Yuejie Chi;Andrea J. Goldsmith

  • Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization

    Yuejie Chi;Yuxin Chen

  • PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations

    Yuejie Chi;Yonina C. Eldar;Robert Calderbank

  • Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation: Recent Theory and Fast Algorithms via Convex and Nonconvex Optimization

    Yudong Chen;Yuejie Chi

  • Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization

    Yuejie Chi

  • Spectral Methods for Data Science: A Statistical Perspective

    Yuxin Chen;Yuejie Chi;Jianqing Fan;Cong Ma

  • Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution

    Yuejie Chi;Maxime Ferreira Da Costa

  • A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms

    Huishuai Zhang;Yingbin Liang;Yuejie Chi

  • Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization.

    Shicong Cen;Chen Cheng;Yuxin Chen;Yuting Wei

  • Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution

    Yuejie Chi;Maxime Ferreira Da Costa

  • Sensitivity to basis mismatch in compressed sensing

    Yuejie Chi;Ali Pezeshki;Louis Scharf;Robert Calderbank

  • Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization

    Yuxin Chen;Yuejie Chi;Jianqing Fan;Cong Ma

  • Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion

    Cong Ma;Kaizheng Wang;Yuejie Chi;Yuxin Chen

  • Provable non-convex phase retrieval with outliers: median truncated wirtinger flow

    Huishuai Zhang;Yuejie Chi;Yingbin Liang

  • Streaming PCA and Subspace Tracking: The Missing Data Case

    Laura Balzano;Yuejie Chi;Yue M. Lu

  • Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

    Gen Li;Yuting Wei;Yuejie Chi;Yuantao Gu

Frequent Co-Authors

Yingbin Liang
Yingbin Liang The Ohio State University
Jianqing Fan
Jianqing Fan Princeton University
Yue M. Lu
Yue M. Lu Beijing University of Posts and Telecommunications
Louis L. Scharf
Louis L. Scharf Colorado State University
Jianjie Ma
Jianjie Ma The Ohio State University
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Jelena Kovacevic
Jelena Kovacevic New York University
Fatih Porikli
Fatih Porikli Australian National University
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science

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

Exploring computer science online can open up a diverse range of educational and career opportunities. Many students worry about their academic record, but there are online schools that accept low gpa, making a tech education more accessible than ever.

Those looking to accelerate their careers may consider an accelerated computer science degree. These programs allow learners to finish their studies faster and enter the workforce or advance more quickly.

Computer science graduates often work in tech-focused roles, but their skills are also transferable to fields such as environmental science. If you are considering alternative options, it may help to research what jobs can you get with an environmental science degree for broader career insights.

Engineering is another pathway where technical ability shines. For those interested in combining engineering with sustainability and technology, environmental engineering online degree programs are both affordable and flexible.

Best Scientists Citing Yuejie Chi

Trending Scientists

Recently Published Articles