World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
31
Citations
3368
World Ranking
3625
National Ranking
1913

Li Liu 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 Li Liu 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: 56 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

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

Li Liu 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 Li Liu 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: 31 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Li Liu is affiliated with the International Monetary Fund based in the United States. Their research primarily focuses on the fields of Economics, Econometrics, and Finance, contributing extensively to subfields including Economics and Econometrics, Finance, General Economics, Econometrics and Finance, Renewable Energy, Sustainability and the Environment, as well as Management Science and Operations Research.

Their work addresses several major topics such as Market Dynamics and Volatility, Monetary Policy and Economic Impact, Financial Risk and Volatility Modeling, Energy, Environment, Economic Growth, Financial Markets and Investment Strategies, Healthcare Systems and Reforms, and Energy, Environment, and Transportation Policies.

Li Liu has published numerous papers in respected academic venues. Notable recent publications include:

  • Can commodity prices forecast exchange rates? (2020) - Energy Economics
  • Investors' perspective on forecasting crude oil return volatility: Where do we stand today? (2021) - Journal of Management Science and Engineering

Their research contributions also intersect with works published in journals frequently featured by Liu, including Finance Research Letters, Quantitative Finance, Resources Policy, Journal of Forecasting, and The North American Journal of Economics and Finance.

Li Liu has collaborated regularly with several co-authors who appear frequently in their research output. These include Yudong Wang, Zhiyuan Pan, Yaojie Zhang, Danyan Wen, and Lu Li.

Representative recent papers linked to the broader circle of collaborators, which highlight related topics in the field, include:

  • Extreme risk spillovers between crude oil prices and the U.S. exchange rate: Evidence from oil-exporting and oil-importing countries (2020) - Energy
  • Geopolitical uncertainty and crude oil volatility: Evidence from oil-importing and oil-exporting countries (2022) - Finance Research Letters
  • Macroeconomic fundamentals, jump dynamics and expected volatility (2020) - Quantitative Finance

The research often explores the relationships between commodity prices, exchange rates, oil market volatility, and macroeconomic fundamentals, emphasizing empirical analysis of risk and uncertainty in financial markets.

Best Publications

  • Economic policy uncertainty and stock market volatility

    Li Liu;Tao Zhang

  • Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis

    Yudong Wang;Li Liu;Rongbao Gu

  • Is WTI crude oil market becoming weakly efficient over time?: New evidence from multiscale analysis based on detrended fluctuation analysis

    Yudong Wang;Li Liu

  • Oil price shocks and U.S. dollar exchange rates

    Hongtao Chen;Li Liu;Yudong Wang;Yingming Zhu

  • Oil price increases and the predictability of equity premium

    Yudong Wang;Zhiyuan Pan;Li Liu;Chongfeng Wu

  • Analysis of market efficiency for the Shanghai stock market over time

    Yudong Wang;Li Liu;Rongbao Gu;Jianjun Cao

  • Cross-correlations between crude oil and agricultural commodity markets

    Li Liu

  • Forecasting the real prices of crude oil using forecast combinations over time-varying parameter models

    Yudong Wang;Li Liu;Chongfeng Wu

  • Forecasting realized volatility of oil futures market: A new insight

    Feng Ma;Yu Wei;Li Liu;Dengshi Huang

  • Forecasting commodity prices out-of-sample: Can technical indicators help?

    Yudong Wang;Li Liu;Chongfeng Wu

  • Is economic policy uncertainty important to forecast the realized volatility of crude oil futures

    Feng Ma;M. I. M. Wahab;Jing Liu;Li Liu

  • Disentangling the determinants of real oil prices

    Li Liu;Yudong Wang;Chongfeng Wu;Wenfeng Wu

  • Forecasting the real prices of crude oil under economic and statistical constraints

    Yudong Wang;Li Liu;Xundi Diao;Chongfeng Wu

  • The relationships between Shanghai stock market and CNY/USD exchange rate: New evidence based on cross-correlation analysis, structural cointegration and nonlinear causality test

    Li Liu;Jieqiu Wan

  • A study of correlations between crude oil spot and futures markets: A rolling sample test

    Li Liu;Jieqiu Wan

  • Extreme risk spillovers between crude oil prices and the U.S. exchange rate: Evidence from oil-exporting and oil-importing countries

    Danyan Wen;Li Liu;Chaoqun Ma;Yudong Wang

  • Crude oil and world stock markets: volatility spillovers, dynamic correlations, and hedging

    Yudong Wang;Li Liu

  • Forecasting excess stock returns with crude oil market data

    Li Liu;Feng Ma;Yudong Wang

  • Momentum of return predictability

    Yudong Wang;Li Liu;Feng Ma;Xundi Diao

  • Economic policy uncertainty and financial statement comparability

    Sandip Dhole;Li Liu;Gerald J. Lobo;Sagarika Mishra

Frequent Co-Authors

Yudong Wang
Yudong Wang Nanjing University of Science and Technology
Feng Ma
Feng Ma Southwest Jiaotong University
Yaojie Zhang
Yaojie Zhang Nanjing University of Science and Technology
Yu Wei
Yu Wei Yunnan University of Finance And Economics
Chongfeng Wu
Chongfeng Wu Shanghai Jiao Tong University
Li Yang
Li Yang Chinese Academy of Sciences
Chunbiao Li
Chunbiao Li Nanjing University of Information Science and Technology
Xiaoqun Wu
Xiaoqun Wu Wuhan University

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