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Economics and Finance
China
2026

D-Index & Metrics

Economics and Finance

D-Index
75
Citations
20378
World Ranking
353
National Ranking
11

Qiang Ji 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 Qiang Ji 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: 296 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Qiang Ji 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 Qiang Ji 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: 75 D-Index — 91st percentile

91% 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

  • 2026 - Research.com Economics and Finance in China Leader Award

Overview

Qiang Ji is affiliated with the Chinese Academy of Sciences in China and has a substantial body of research focusing primarily on Economics, Econometrics, and Finance. Over their career, they have contributed extensively to fields such as Economics and Econometrics, Renewable Energy, Sustainability and the Environment, General Economics, Finance, and Strategy and Management.

The scientist's work covers a range of specific topics including Market Dynamics and Volatility, Energy, Environment, Economic Growth, Monetary Policy and Economic Impact, Global Energy and Sustainability Research, Climate Change Policy and Economics, Energy, Environment, and Transportation Policies, and Sustainable Finance and Green Bonds.

Qiang Ji frequently publishes in several academic venues. The most common publication platforms include:

  • SSRN Electronic Journal
  • Energy Economics
  • Finance Research Letters
  • Research in International Business and Finance
  • International Review of Financial Analysis

Their collaboration network includes frequent co-authors such as Dayong Zhang, Rangan Gupta, Fei Wu, Kun Guo, and Pengxiang Zhai, reflecting ongoing partnerships within the field.

Selected recent publications demonstrate the scope and focus of Qiang Ji's research contributions:

  • Searching for safe-haven assets during the COVID-19 pandemic (2020), published in International Review of Financial Analysis
  • Regional renewable energy development in China: A multidimensional assessment (2020), published in Renewable and Sustainable Energy Reviews
  • Macro factors and the realized volatility of commodities: A dynamic network analysis (2020), published in Resources Policy
  • c-Myc inactivation of p53 through the pan-cancer lncRNA MILIP drives cancer pathogenesis (2020), published in Nature Communications
  • Do oil price changes really matter for clean energy returns? (2021), published in Renewable and Sustainable Energy Reviews

Best Publications

  • Financial markets under the global pandemic of COVID-19.

    Dayong Zhang;Min Hu;Qiang Ji

  • How much does financial development contribute to renewable energy growth and upgrading of energy structure in China

    Qiang Ji;Qiang Ji;Dayong Zhang

  • Searching for safe-haven assets during the COVID-19 pandemic

    Qiang Ji;Dayong Zhang;Yuqian Zhao

  • Dynamic connectedness and integration in cryptocurrency markets

    Qiang Ji;Elie Bouri;Chi Keung Marco Lau;David Roubaud

  • Green innovation and firm performance: Evidence from listed companies in China

    Dayong Zhang;Zhao Rong;Qiang Ji

  • How does oil price volatility affect non-energy commodity markets?

    Qiang Ji;Ying Fan

  • Global renewable energy development: Influencing factors, trend predictions and countermeasures

    Xiaofeng Xu;Zhifei Wei;Qiang Ji;Chenglong Wang

  • Information linkage, dynamic spillovers in prices and volatility between the carbon and energy markets

    Qiang Ji;Qiang Ji;Dayong Zhang;Jiang-bo Geng

  • Economic policy uncertainty in the US and China and their impact on the global markets

    Dayong Zhang;Lei Lei;Qiang Ji;Ali M. Kutan

  • The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets

    Yingjie Song;Qiang Ji;Ya-Juan Du;Jiang-Bo Geng

  • Oil price volatility and oil-related events: An Internet concern study perspective

    Qiang Ji;Jian-Feng Guo

  • Information interdependence among energy, cryptocurrency and major commodity markets

    Qiang Ji;Qiang Ji;Elie Bouri;David Roubaud;Ladislav Kristoufek

  • Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model

    Qiang Ji;Elie Bouri;David Roubaud;Syed Jawad Hussain Shahzad

  • Energy investment risk assessment for nations along China’s Belt & Road Initiative

    Fei Duan;Qiang Ji;Bing-Yue Liu;Bing-Yue Liu;Ying Fan

  • Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach

    Qiang Ji;Elie Bouri;Rangan Gupta;David Roubaud

  • A news-based climate policy uncertainty index for China

    Unknown

  • Regional differences and driving factors analysis of carbon emission intensity from transport sector in China

    Jiaguo Liu;Sujuan Li;Qiang Ji

  • High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets

    Jiawen Luo;Qiang Ji

  • Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS

    Qiang Ji;Bing-Yue Liu;Wan-Li Zhao;Ying Fan

  • How does oil market uncertainty interact with other markets? An empirical analysis of implied volatility index

    Ming-Lei Liu;Qiang Ji;Ying Fan

  • Spatial linkage analysis of the impact of regional economic activities on PM2.5 pollution in China

    Yan-Ran Ma;Yan-Ran Ma;Qiang Ji;Ying Fan

  • How does market concern derived from the Internet affect oil prices

    Jian-Feng Guo;Qiang Ji

Frequent Co-Authors

Ying Fan
Ying Fan Beihang University
Dayong Zhang
Dayong Zhang Southwestern University of Finance and Economics
Rangan Gupta
Rangan Gupta University of Pretoria
Aviral Kumar Tiwari
Aviral Kumar Tiwari Indian Institute of Management Bodh Gaya
Elie Bouri
Elie Bouri Lebanese American University
Mehmet Balcilar
Mehmet Balcilar University of New Haven
David Roubaud
David Roubaud Montpellier Business School
Xunpeng Shi
Xunpeng Shi University of Technology Sydney
Brian M. Lucey
Brian M. Lucey Trinity College Dublin
Afees A. Salisu
Afees A. Salisu University of Ibadan

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