World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
37
Citations
4850
World Ranking
2702
National Ranking
67

Liangjun Su publication distribution in Economics and Finance in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Economics and Finance in 2026. The highlighted bar marks where Liangjun Su sits on this spectrum.

42–46 publications: 1 scientists 47–51 publications: 12 scientists 52–56 publications: 7 scientists 57–61 publications: 23 scientists 62–66 publications: 32 scientists 67–71 publications: 36 scientists 72–76 publications: 56 scientists 77–81 publications: 57 scientists 82–86 publications: 70 scientists 87–91 publications: 86 scientists 92–96 publications: 72 scientists 97–101 publications: 106 scientists 102–106 publications: 97 scientists 107–111 publications: 96 scientists 112–116 publications: 101 scientists 117–121 publications: 103 scientists 122–126 publications: 102 scientists 127–131 publications: 108 scientists 132–136 publications: 107 scientists 137–141 publications: 111 scientists 142–146 publications: 94 scientists 147–151 publications: 96 scientists 152–156 publications: 100 scientists 157–161 publications: 74 scientists 162–166 publications: 68 scientists 167–171 publications: 91 scientists 172–176 publications: 76 scientists 177–181 publications: 75 scientists 182–186 publications: 61 scientists 187–191 publications: 66 scientists 192–196 publications: 68 scientists 197–201 publications: 71 scientists 202–206 publications: 60 scientists 207–211 publications: 56 scientists 212–216 publications: 44 scientists 217–221 publications: 51 scientists 222–226 publications: 65 scientists 227–231 publications: 48 scientists 232–236 publications: 59 scientists 237–241 publications: 37 scientists 242–246 publications: 37 scientists 247–251 publications: 41 scientists 252–256 publications: 43 scientists 257–261 publications: 33 scientists 262–266 publications: 34 scientists 267–271 publications: 39 scientists 272–276 publications: 25 scientists 277–281 publications: 29 scientists 282–286 publications: 29 scientists 287–291 publications: 26 scientists 292–296 publications: 31 scientists 297–301 publications: 31 scientists 302–306 publications: 24 scientists 307–311 publications: 28 scientists 312–316 publications: 24 scientists 317–321 publications: 13 scientists 322–326 publications: 14 scientists 327–331 publications: 25 scientists 332–336 publications: 18 scientists 337–341 publications: 16 scientists 342–346 publications: 18 scientists 347–351 publications: 15 scientists 352–356 publications: 17 scientists 357–361 publications: 19 scientists 362–366 publications: 16 scientists 367–371 publications: 17 scientists 372–376 publications: 7 scientists 377–381 publications: 18 scientists 382–386 publications: 13 scientists 387–391 publications: 19 scientists 392–396 publications: 9 scientists 397–401 publications: 10 scientists 402–406 publications: 13 scientists 407–411 publications: 13 scientists 412–416 publications: 5 scientists 417–421 publications: 10 scientists 422–426 publications: 6 scientists 427–431 publications: 12 scientists 432–436 publications: 9 scientists 437–441 publications: 9 scientists 442–446 publications: 10 scientists 447–451 publications: 12 scientists 452–456 publications: 8 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 4 scientists 472–476 publications: 5 scientists 477–481 publications: 6 scientists 482–486 publications: 7 scientists 487–491 publications: 8 scientists 492–496 publications: 5 scientists 497–501 publications: 4 scientists 502–506 publications: 4 scientists 507–511 publications: 5 scientists 512–516 publications: 7 scientists 517–520 publications: 7 scientists 521+ publications: 99 scientists
42 publications 521+

This scientist: 127 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 521 publications or more.

Liangjun Su D-index placement in Economics and Finance in 2026

The chart shows the D-index (discipline H-index) distribution of Economics and Finance scientists ranked by Research.com in 2026. The highlighted bar marks where Liangjun Su sits on this spectrum.

30 D-Index: 126 scientists 31 D-Index: 147 scientists 32 D-Index: 157 scientists 33 D-Index: 178 scientists 34 D-Index: 171 scientists 35 D-Index: 141 scientists 36 D-Index: 132 scientists 37 D-Index: 129 scientists 38 D-Index: 130 scientists 39 D-Index: 120 scientists 40 D-Index: 117 scientists 41 D-Index: 113 scientists 42 D-Index: 114 scientists 43 D-Index: 97 scientists 44 D-Index: 115 scientists 45 D-Index: 86 scientists 46 D-Index: 78 scientists 47 D-Index: 83 scientists 48 D-Index: 62 scientists 49 D-Index: 74 scientists 50 D-Index: 50 scientists 51 D-Index: 66 scientists 52 D-Index: 69 scientists 53 D-Index: 55 scientists 54 D-Index: 67 scientists 55 D-Index: 61 scientists 56 D-Index: 62 scientists 57 D-Index: 45 scientists 58 D-Index: 34 scientists 59 D-Index: 47 scientists 60 D-Index: 46 scientists 61 D-Index: 36 scientists 62 D-Index: 37 scientists 63 D-Index: 56 scientists 64 D-Index: 50 scientists 65 D-Index: 32 scientists 66 D-Index: 28 scientists 67 D-Index: 30 scientists 68 D-Index: 24 scientists 69 D-Index: 25 scientists 70 D-Index: 22 scientists 71 D-Index: 21 scientists 72 D-Index: 26 scientists 73 D-Index: 24 scientists 74 D-Index: 23 scientists 75 D-Index: 12 scientists 76 D-Index: 14 scientists 77 D-Index: 15 scientists 78 D-Index: 15 scientists 79 D-Index: 17 scientists 80 D-Index: 17 scientists 81 D-Index: 11 scientists 82 D-Index: 10 scientists 83 D-Index: 16 scientists 84 D-Index: 11 scientists 85 D-Index: 5 scientists 86 D-Index: 9 scientists 87 D-Index: 13 scientists 88 D-Index: 9 scientists 89 D-Index: 7 scientists 90 D-Index: 6 scientists 91 D-Index: 4 scientists 92 D-Index: 8 scientists 93 D-Index: 10 scientists 94 D-Index: 11 scientists 95 D-Index: 6 scientists 96 D-Index: 4 scientists 97 D-Index: 4 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100 D-Index: 8 scientists 101+ D-Index: 100 scientists
30 D-Index 101+

This scientist: 37 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 101 D-Index or more.

Overview

Liangjun Su is affiliated with Singapore Management University in Singapore and has produced extensive research in the fields of economics, econometrics, and finance. With a focus on empirical methods and theoretical models, Su's work spans several subfields including economics and econometrics, statistics and probability, finance, and statistical and nonlinear physics.

Their research interests cover a range of topics with a particular emphasis on spatial and panel data analysis, monetary policy and economic impact, and statistical methods and inference. Additional topics include energy, environment, and economic growth, regional economics and spatial analysis, financial risk and volatility modeling, as well as market dynamics and volatility.

Frequent co-authors collaborating with Su include Xun Lu, Sainan Jin, Ke Miao, Zhonghao Fu, and Peter C.B. Phillips. These collaborations reflect ongoing research partnerships that have resulted in numerous published papers.

Su's publications appear mainly in the following venues:

  • SSRN Electronic Journal
  • Journal of Econometrics
  • arXiv (Cornell University)
  • Journal of Business and Economic Statistics
  • Econometric Theory

Notable papers authored by Su include:

  • On factor models with random missing: EM estimation, inference, and cross validation (2020, Journal of Econometrics)
  • Identifying latent group structures in nonlinear panels (2020, Journal of Econometrics)
  • Panel threshold models with interactive fixed effects (2020, Journal of Econometrics)
  • Profile GMM estimation of panel data models with interactive fixed effects (2022, Journal of Econometrics)
  • High-dimensional VARs with common factors (2022, Journal of Econometrics)

Su has contributed significantly to the methodological development and application of panel data models, factor models, and time series econometrics. Research often centers on dealing with complexities such as missing data, nonlinear group structures, and interactive fixed effects.

Best Publications

  • Identifying Latent Structures in Panel Data

    Liangjun Su;Zhentao Shi;Peter C. B. Phillips

  • A NONPARAMETRIC HELLINGER METRIC TEST FOR CONDITIONAL INDEPENDENCE

    Liangjun Su;Halbert White

  • On Time-Varying Factor Models: Estimation and Testing ∗

    Liangjun Su;Xia Wang

  • Profile quasi-maximum likelihood estimation of partially linear spatial autoregressive models ☆

    Liangjun Su;Liangjun Su;Sainan Jin;Sainan Jin

  • A consistent characteristic function-based test for conditional independence

    Liangjun Su;Halbert White

  • QML estimation of dynamic panel data models with spatial errors

    Liangjun Su;Zhenlin Yang

  • Profile likelihood estimation of partially linear panel data models with fixed effects

    Liangjun Su;Aman Ullah

  • Testing Homogeneity in Panel Data Models with Interactive Fixed Effects

    Liangjun Su;Qihui Chen

  • Semiparametric GMM estimation of spatial autoregressive models

    Liangjun Su

  • Jackknife model averaging for quantile regressions

    Xun Lu;Liangjun Su

  • Local polynomial estimation of nonparametric simultaneous equations models

    Liangjun Su;Aman Ullah

  • Testing Conditional Independence via Empirical Likelihood

    Liangjun Su;Halbert White

  • Panel Data Models with Interactive Fixed Effects and Multiple Structural Breaks

    Degui Li;Junhui Qian;Liangjun Su

  • Shrinkage estimation of common breaks in panel data models via adaptive group fused Lasso

    Junhui Qian;Liangjun Su

  • Shrinkage Estimation of Dynamic Panel Data Models with Interactive Fixed Effects

    Xun Lu;Liangjun Su

  • Sieve Estimation of Panel Data Models with Cross Section Dependence

    Liangjun Su;Sainan Jin

  • Shrinkage estimation of regression models with multiple structural changes

    Junhui Qian;Liangjun Su

  • Instrumental Variable Quantile Estimation of Spatial Autoregressive Models

    Liangjun Su;Zhenlin Yang

  • Nonparametric and Semiparametric Panel Econometric Models: Estimation and Testing

    Liangjun Su;Aman Ullah

  • Nonparametric dynamic panel data models: Kernel estimation and specification testing

    Liangjun Su;Xun Lu

  • Estimation and Forecasting of Dynamic Conditional Covariance: A Semiparametric Multivariate Model

    Xiangdong Long;Liangjun Su;Aman Ullah

  • The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics

    Jeffrey Scott Racine;Liangjun Su;Aman Ullah

Frequent Co-Authors

Peter C. B. Phillips
Peter C. B. Phillips Yale University
Aman Ullah
Aman Ullah University of California, Riverside
Halbert White
Halbert White University of California, San Diego
Arthur Lewbel
Arthur Lewbel Boston College
Joakim Westerlund
Joakim Westerlund Lund University
Jeffrey S. Racine
Jeffrey S. Racine McMaster University
Chih-Ling Tsai
Chih-Ling Tsai University of California, Davis

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