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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
33
Citations
3484
World Ranking
943
National Ranking
303

Economics and Finance

D-Index
35
Citations
4277
World Ranking
2972
National Ranking
72

Yaojie Zhang 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 Yaojie Zhang 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: 96 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Yaojie Zhang 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 Yaojie Zhang 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: 35 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yaojie Zhang is affiliated with Nanjing University of Science and Technology in China. Their research primarily focuses on the intersection of economics, econometrics, and finance, where they have contributed extensively to understanding market dynamics and volatility.

The main field of study for Yaojie Zhang is Economics, Econometrics and Finance, with particular emphasis on several subfields including Economics and Econometrics, Finance, General Economics, Econometrics and Finance, Renewable Energy, Sustainability and the Environment, and Management Science and Operations Research.

Their research covers a range of topics, including:

  • Market Dynamics and Volatility
  • Monetary Policy and Economic Impact
  • Financial Risk and Volatility Modeling
  • Financial Markets and Investment Strategies
  • Energy, Environment, Economic Growth
  • Global Energy and Sustainability Research
  • Stock Market Forecasting Methods

Yaojie Zhang has published a significant number of articles in journals with repeated contributions to several key venues. The frequent publication venues include:

  • Journal of Forecasting
  • Finance Research Letters
  • Resources Policy
  • International Journal of Forecasting
  • Energy

The recent notable papers authored by Yaojie Zhang include:

  • Geopolitical risk and stock market volatility: A global perspective, 2022, Finance Research Letters
  • Forecasting global equity market volatilities, 2020, International Journal of Forecasting

Besides solo works, Yaojie Zhang has collaborated frequently with other researchers, including these coauthors with whom they have multiple joint publications:

  • Yudong Wang
  • Mengxi He
  • Danyan Wen
  • Zhikai Zhang
  • Feng Ma

Their collaborations and thematic focus indicate a research trajectory deeply engaged with volatility forecasting, geopolitical risk influences, and the integration of energy sector dynamics in financial modeling.

Best Publications

  • Geopolitical risk and oil volatility: A new insight

    Jing Liu;Feng Ma;Yingkai Tang;Yaojie Zhang

  • Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors?

    Yaojie Zhang;Feng Ma;Yudong Wang

  • Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks

    Feng Ma;Yin Liao;Yaojie Zhang;Yang Cao

  • Geopolitical risk trends and crude oil price predictability

    Unknown

  • Forecasting oil price volatility: Forecast combination versus shrinkage method

    Yaojie Zhang;Yu Wei;Yi Zhang;Yi Zhang;Daxiang Jin

  • Geopolitical risk and stock market volatility: A global perspective

    Unknown

  • Economic policy uncertainty and the Chinese stock market volatility: Novel evidence

    Tao Li;Feng Ma;Xuehua Zhang;Yaojie Zhang

  • Forecasting the prices of crude oil: An iterated combination approach

    Yaojie Zhang;Feng Ma;Benshan Shi;Dengshi Huang

  • Forecasting crude oil market volatility using variable selection and common factor

    Unknown

  • Is implied volatility more informative for forecasting realized volatility: An international perspective

    Chao Liang;Yu Wei;Yaojie Zhang

  • Information connectedness of international crude oil futures: Evidence from SC, WTI, and Brent

    Unknown

  • Forecasting crude oil prices: A scaled PCA approach

    Mengxi He;Yaojie Zhang;Danyan Wen;Yudong Wang

  • Forecasting global equity market volatilities

    Yaojie Zhang;Feng Ma;Yin Liao

  • Climate policy uncertainty and the stock return predictability of the oil industry

    Unknown

  • Forecasting crude oil futures market returns: A principal component analysis combination approach

    Unknown

  • Economic policy uncertainty and the Chinese stock market volatility: new evidence

    Unknown

  • Global economic policy uncertainty aligned: An informative predictor for crude oil market volatility

    Unknown

  • Forecasting the aggregate oil price volatility in a data-rich environment

    Feng Ma;Jing Liu;Jing Liu;M.I.M. Wahab;Yaojie Zhang

  • Intraday momentum and stock return predictability: Evidence from China

    Yaojie Zhang;Feng Ma;Bo Zhu

  • Forecasting the oil futures price volatility: Large jumps and small jumps

    Jing Liu;Feng Ma;Ke Yang;Yaojie Zhang

  • Does US Economic Policy Uncertainty matter for European stock markets volatility

    Dexiang Mei;Qing Zeng;Yaojie Zhang;Wenjing Hou

  • Forecasting oil futures price volatility: New evidence from realized range-based volatility

    Feng Ma;Yaojie Zhang;Dengshi Huang;Xiaodong Lai

  • Economic constraints and stock return predictability: A new approach

    Yaojie Zhang;Yu Wei;Feng Ma;Yongsheng Yi

  • Out-of-sample prediction of the oil futures market volatility: A comparison of new and traditional combination approaches

    Yaojie Zhang;Feng Ma;Yu Wei

  • Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets

    Feng Ma;M.I.M. Wahab;Yaojie Zhang

  • Forecasting stock returns: Do less powerful predictors help?

    Yaojie Zhang;Qing Zeng;Feng Ma;Benshan Shi

  • The role of jumps in the agricultural futures market on forecasting stock market volatility: New evidence

    Feng Ma;Yaojie Zhang;M. I. M. Wahab;Xiaodong Lai

  • Out-of-sample volatility prediction: A new mixed-frequency approach

    Yaojie Zhang;Feng Ma;Tianyi Wang;Li Liu

Frequent Co-Authors

Feng Ma
Feng Ma Southwest Jiaotong University
Yu Wei
Yu Wei Yunnan University of Finance And Economics
Yudong Wang
Yudong Wang Nanjing University of Science and Technology
Li Liu
Li Liu International Monetary Fund

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