World's Best Scientists 2026 revealed!
Gang-Jin Wang

Gang-Jin Wang

D-Index & Metrics

Economics and Finance

D-Index
39
Citations
5247
World Ranking
2445
National Ranking
62

Gang-Jin Wang 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 Gang-Jin Wang 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: 89 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Gang-Jin Wang 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 Gang-Jin Wang 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: 39 D-Index — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Overview

Gang-Jin Wang is affiliated with Hunan University in China and specializes in the fields of Economics, Econometrics, and Finance with a focus on related subfields including Economics and Econometrics, Finance, Renewable Energy, Sustainability and the Environment, Accounting, and Management Science and Operations Research.

The main research topics covered by Gang-Jin Wang's work include:

  • Market Dynamics and Volatility
  • Financial Risk and Volatility Modeling
  • Complex Systems and Time Series Analysis
  • Energy, Environment, Economic Growth
  • Financial Markets and Investment Strategies
  • Energy, Environment, and Transportation Policies
  • Islamic Finance and Banking Studies

Frequent publication venues for Gang-Jin Wang include:

  • SSRN Electronic Journal
  • International Review of Economics & Finance
  • arXiv (Cornell University)
  • Research in International Business and Finance
  • Finance Research Letters

The scientist has authored numerous research papers, among the recent ones are:

  • Multilayer information spillover networks analysis of China's financial institutions based on variance decompositions, 2021, International Review of Economics & Finance
  • Time domain and frequency domain Granger causality networks: Application to China's financial institutions, 2020, Finance Research Letters

Frequent collaborators include Chi Xie, You Zhu, Longfeng Zhao, Wei-Xing Zhou, and Yajie Yang, with collaboration counts ranging from five to seven joint publications.

Gang-Jin Wang's work often centers on the quantitative analysis of financial institutions, volatility connectedness in markets, and the modeling of spillovers and risk. This expertise is reflected in topics such as financial risk modeling and market dynamics. The scientist has contributed to understanding the complex relationships within financial systems and how external shocks or conflicts impact markets and investment strategies.

Through publications in journals like the International Review of Economics & Finance and Research in International Business and Finance, the scientist engages with academic discussions on financial and economic relationships pertinent to China and broader global contexts. The involvement in subfields related to energy and environment also signals an interdisciplinary approach connecting finance with sustainability and policy issues.

Best Publications

  • Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?

    Shuyue Yi;Zishuang Xu;Gang-Jin Wang

  • Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach

    You Zhu;Li Zhou;Chi Xie;Chi Xie;Gang-Jin Wang;Gang-Jin Wang;Gang-Jin Wang

  • Extreme risk spillover network: application to financial institutions

    Gang-Jin Wang;Chi Xie;Kaijian He;H. Eugene Stanley

  • When Bitcoin meets economic policy uncertainty (EPU): Measuring risk spillover effect from EPU to Bitcoin

    Gang-Jin Wang;Chi Xie;Danyan Wen;Longfeng Zhao

  • Interconnectedness and systemic risk of China's financial institutions

    Gang-Jin Wang;Gang-Jin Wang;Zhi-Qiang Jiang;Min Lin;Min Lin;Chi Xie

  • Correlation Structure and Evolution of World Stock Markets: Evidence from Pearson and Partial Correlation-Based Networks

    Gang-Jin Wang;Chi Xie;H. Eugene Stanley

  • Random matrix theory analysis of cross-correlations in the US stock market: Evidence from Pearson's correlation coefficient and detrended cross-correlation coefficient

    Gang-Jin Wang;Chi Xie;Chi Xie;Shou Chen;Shou Chen;Jiao-Jiao Yang

  • Are stablecoins truly diversifiers, hedges, or safe havens against traditional cryptocurrencies as their name suggests?

    Gang-Jin Wang;Xin-yu Ma;Hao-yu Wu

  • Similarity measure and topology evolution of foreign exchange markets using dynamic time warping method: Evidence from minimal spanning tree

    Gang-Jin Wang;Chi Xie;Chi Xie;Feng Han;Bo Sun;Bo Sun

  • Stock market contagion during the global financial crisis: A multiscale approach

    Gang-Jin Wang;Gang-Jin Wang;Chi Xie;Min Lin;Min Lin;H. Eugene Stanley

  • Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions

    Gang-Jin Wang;Yang-Yang Chen;Hui-Bin Si;Chi Xie

  • Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets

    Unknown

  • Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance

    You Zhu;Chi Xie;Gang-Jin Wang;Xin-Guo Yan

  • Risk spillovers between oil and stock markets: A VAR for VaR analysis

    Danyan Wen;Gang-Jin Wang;Chaoqun Ma;Yudong Wang

  • Statistical Properties of the Foreign Exchange Network at Different Time Scales: Evidence from Detrended Cross-Correlation Coefficient and Minimum Spanning Tree

    Gang-Jin Wang;Chi Xie;Yi-Jun Chen;Shou Chen

  • Volatility connectedness in global foreign exchange markets

    Tiange Wen;Gang-Jin Wang

  • Who are the net senders and recipients of volatility spillovers in China’s financial markets?

    Gang-Jin Wang;Gang-Jin Wang;Chi Xie;Zhi-Qiang Jiang;Zhi-Qiang Jiang;H. Eugene Stanley

  • Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more?

    Gang-Jin Wang;Chi Xie;Longfeng Zhao;Longfeng Zhao;Zhi-Qiang Jiang

  • Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models

    You Zhu;Chi Xie;Bo Sun;Gang-Jin Wang

  • Extreme risk spillover effects in world gold markets and the global financial crisis

    Gang-Jin Wang;Gang-Jin Wang;Chi Xie;Zhi-Qiang Jiang;Zhi-Qiang Jiang;H. Eugene Stanley

  • Is bitcoin a safe haven or a hedging asset? Evidence from China

    Gangjin Wang;Gangjin Wang;Yanping Tang;Yanping Tang;Chi Xie;Shou Chen

Frequent Co-Authors

H. Eugene Stanley
H. Eugene Stanley Boston University
Wei-Xing Zhou
Wei-Xing Zhou East China University of Science and Technology
Julien Chevallier
Julien Chevallier Paris 8 University
Yudong Wang
Yudong Wang Nanjing University of Science and Technology

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