World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
9843
World Ranking
1451
National Ranking
640

Computer Science

D-Index
46
Citations
9967
World Ranking
6780
National Ranking
2985

Xi Chen publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Xi Chen sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 233 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Xi Chen D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Xi Chen sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 45 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Xi Chen is affiliated with Columbia University in the United States and has focused their research primarily within the field of Computer Science. Their work spans numerous subfields including Management Science and Operations Research, Molecular Biology, Computer Networks and Communications, Computational Theory and Mathematics, and Electrical and Electronic Engineering.

Their research topics cover diverse areas, reflecting interdisciplinary interests. These include:

  • Auction Theory and Applications
  • Complexity and Algorithms in Graphs
  • Advanced Graph Theory Research
  • Renal and related cancers
  • Immunotherapy and Immune Responses
  • Consumer Market Behavior and Pricing
  • Game Theory and Applications

In terms of publication venues, they have contributed to a range of journals and platforms. The most frequent venues include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SSRN Electronic Journal
  • Developmental Cell
  • Journal of the American Chemical Society

Notable recent papers authored or coauthored by Xi Chen are:

  • Spatial transcriptional mapping of the human nephrogenic program, 2021, Developmental Cell
  • Anion-Modulated Solvation Sheath and Electric Double Layer Enabling Lithium-Ion Storage From −60 to 80 °C, 2025, Journal of the American Chemical Society
  • A multi-hierarchy meta-frontier approach for measuring green total factor productivity: An application of pig breeding in China, 2021, Socio-Economic Planning Sciences
  • The schizophrenia-associated missense variant rs13107325 regulates dendritic spine density, 2022, Translational Psychiatry
  • Spatial Transcriptional Mapping of the Human Nephrogenic Program, 2020, bioRxiv (Cold Spring Harbor Laboratory)

Xi Chen frequently collaborates with a set of coauthors who have contributed to multiple publications alongside them. These frequent collaborators include:

  • Alicja Tadych
  • Olga G. Troyanskaya
  • Nils O. Lindström
  • Rachel Sealfon
  • Riana K. Parvez

Best Publications

  • Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization

    Liang Xiong;Xi Chen;Tzu-Kuo Huang;Jeff G. Schneider

  • Settling the Complexity of Two-Player Nash Equilibrium

    Xi Chen;Xiaotie Deng

  • Settling the complexity of computing two-player Nash equilibria

    Xi Chen;Xiaotie Deng;Shang-Hua Teng

  • How to Compress Interactive Communication

    Boaz Barak;Mark Braverman;Xi Chen;Anup Rao

  • Pairwise ranking aggregation in a crowdsourced setting

    Xi Chen;Paul N. Bennett;Kevyn Collins-Thompson;Eric Horvitz

  • Spectral methods meet EM: a provably optimal algorithm for crowdsourcing

    Yuchen Zhang;Xi Chen;Dengyong Zhou;Michael I. Jordan

  • Smoothing proximal gradient method for general structured sparse regression

    Xi Chen;Qihang Lin;Seyoung Kim;Jaime G. Carbonell

  • Settling the Complexity of 2-Player Nash-Equilibrium

    Xi Chen;Xiaotie Deng

  • Accelerated Gradient Method for Multi-task Sparse Learning Problem

    Xi Chen;Weike Pan;James T. Kwok;Jaime G. Carbonell

  • Computing Nash Equilibria: Approximation and Smoothed Complexity.

    Xi Chen;Xiaotie Deng;Shang-Hua Teng

  • A Statistical Learning Approach to Personalization in Revenue Management

    Xi Chen;Zachary Owen;Clark Pixton;David Simchi-Levi

  • Variance Reduction for Stochastic Gradient Optimization

    Chong Wang;Xi Chen;Alex J Smola;Eric P Xing

  • Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing

    Xi Chen;Qihang Lin;Dengyong Zhou

  • Quantile regression under memory constraint

    Xi Chen;Weidong Liu;Yichen Zhang

  • 3 { Nash is PPAD { Complete

    Xi Chen;Xiaotie Deng

  • Graph Homomorphisms with Complex Values: A Dichotomy Theorem

    Jin-Yi Cai;Xi Chen;Pinyan Lu

  • Direct Robust Matrix Factorizatoin for Anomaly Detection

    Liang Xiong;Xi Chen;Jeff Schneider

  • Settling the Complexity of Arrow-Debreu Equilibria in Markets with Additively Separable Utilities

    Xi Chen;Decheng Dai;Ye Du;Shang-Hua Teng

  • Wasserstein Distributional Robustness and Regularization in Statistical Learning.

    Rui Gao;Xi Chen;Anton J. Kleywegt

  • Smoothing proximal gradient method for general structured sparse learning

    Xi Chen;Qihang Lin;Seyoung Kim;Jaime G. Carbonell

  • Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso Manuscript

    Xi Chen;Seyoung Kim;Qihang Lin;Jaime G. Carbonell

Frequent Co-Authors

Rocco A. Servedio
Rocco A. Servedio Columbia University
Xiaotie Deng
Xiaotie Deng Peking University
Shang-Hua Teng
Shang-Hua Teng University of Southern California
Jin-Yi Cai
Jin-Yi Cai University of Wisconsin–Madison
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Pinyan Lu
Pinyan Lu Shanghai University of Finance and Economics
Mihalis Yannakakis
Mihalis Yannakakis Columbia University
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Han Liu
Han Liu Northwestern University
Dengyong Zhou
Dengyong Zhou Google (United States)

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Related Online Degrees & Career Pathways

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Furthermore, for individuals with existing credits, finding MBA transfer credits can reduce costs and shorten the time needed to complete a degree. Overall, exploring these programs can significantly expand career pathways for Mathematics graduates pursuing business and analytics sectors.

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