World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Economics and Finance 42 2036 1838 1184 1043 184 10086

Yongmiao Hong publications per year

The chart shows the history of publications by Yongmiao Hong between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yongmiao Hong published across 38 years, from 1988 to 2025, averaging 6.1 papers a year. Output peaked at 27 publications in 2013. 36 of the 232 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2013. 1988: 3 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 2 publications 1995: 2 publications 1996: 4 publications 1997: 3 publications 1998: 3 publications 1999: 5 publications 2000: 4 publications 2001: 6 publications 2002: 5 publications 2003: 10 publications 2004: 10 publications 2005: 7 publications 2006: 5 publications 2007: 8 publications 2008: 6 publications 2009: 4 publications 2010: 2 publications 2011: 5 publications 2012: 5 publications 2013: 27 publications 2014: 4 publications 2015: 0 publications 2016: 7 publications 2017: 8 publications 2018: 9 publications 2019: 6 publications 2020: 5 publications 2021: 8 publications 2022: 13 publications 2023: 9 publications 2024: 20 publications 2025: 16 publications
1988 2025

232 publications in total across all disciplines

View publications per year as a table
Yongmiao Hong: publications per year, 1988 to 2025
Year Publications
1988 3
1989 0
1990 0
1991 0
1992 0
1993 1
1994 2
1995 2
1996 4
1997 3
1998 3
1999 5
2000 4
2001 6
2002 5
2003 10
2004 10
2005 7
2006 5
2007 8
2008 6
2009 4
2010 2
2011 5
2012 5
2013 27
2014 4
2015 0
2016 7
2017 8
2018 9
2019 6
2020 5
2021 8
2022 13
2023 9
2024 20
2025 16
Total 232
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Yongmiao Hong publications per year - data summary

  • Yongmiao Hong, a Economics and Finance scholar from Cornell University, has 232 publications recorded across 38 years, from 1988 to 2025.
  • The oldest publication on record dates to 1988 and the most recent to 2025.
  • The most productive year is 2013, with 27 publications.
  • The least productive year with any output is 1993, with 1 publication.
  • 5 of the 38 years in the span carry no publications at all (1989, 1990, 1991, 1992 and others).
  • The rate of publication averages 6.1 papers per year over the whole span, or 7.0 per year counting only the 33 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 66 publications, 28% of the career total.
  • Split into equal eras - 1988-2000: 27 publications (2.1 per year); 2001-2013: 100 publications (7.7 per year); 2014-2025: 105 publications (8.8 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Yongmiao Hong 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 Yongmiao Hong sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 97 bars. Horizontal axis: publications, 42–46 to 521+. Vertical axis: number of scientists, 0 to 111. Most scientists, 111, have 137–141 publications. The last bar groups every scientist with 521 publications or more. The highlighted bar, 182–186 publications, is where this scientist sits. 42–46 publications: 1 scientist 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
42–46 publications 521+

This scientist: 184 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Economics and Finance scientists by publication count, Research.com 2026 ranking edition. Based on 3,760 ranked scientists.
Publications Scientists This scientist
42–46 1
47–51 12
52–56 7
57–61 23
62–66 32
67–71 36
72–76 56
77–81 57
82–86 70
87–91 86
92–96 72
97–101 106
102–106 97
107–111 96
112–116 101
117–121 103
122–126 102
127–131 108
132–136 107
137–141 111
142–146 94
147–151 96
152–156 100
157–161 74
162–166 68
167–171 91
172–176 76
177–181 75
182–186 61 184
187–191 66
192–196 68
197–201 71
202–206 60
207–211 56
212–216 44
217–221 51
222–226 65
227–231 48
232–236 59
237–241 37
242–246 37
247–251 41
252–256 43
257–261 33
262–266 34
267–271 39
272–276 25
277–281 29
282–286 29
287–291 26
292–296 31
297–301 31
302–306 24
307–311 28
312–316 24
317–321 13
322–326 14
327–331 25
332–336 18
337–341 16
342–346 18
347–351 15
352–356 17
357–361 19
362–366 16
367–371 17
372–376 7
377–381 18
382–386 13
387–391 19
392–396 9
397–401 10
402–406 13
407–411 13
412–416 5
417–421 10
422–426 6
427–431 12
432–436 9
437–441 9
442–446 10
447–451 12
452–456 8
457–461 4
462–466 7
467–471 4
472–476 5
477–481 6
482–486 7
487–491 8
492–496 5
497–501 4
502–506 4
507–511 5
512–516 7
517–520 7
521+ 99
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Yongmiao Hong publication distribution in Economics and Finance in 2026 - data summary

  • The chart plots the publication count of all 3,760 Economics and Finance scientists ranked by Research.com in 2026, grouped into 97 ranges running from 42–46 to 521+ publications.
  • Yongmiao Hong, a Economics and Finance scholar from Cornell University, records 184 publications - the 56th percentile of the discipline.
  • 56% of ranked Economics and Finance scientists score the same or lower than Yongmiao Hong, and about 44% score higher.
  • The median of the discipline falls in the 167–171 publications range, and Yongmiao Hong ranks above the median.
  • The most crowded range is 137–141 publications, holding 111 scientists (3% of the field).
  • 48% of the field sits in the lowest quarter of the value range (up to 162–166 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 521 publications or more, 99 scientists in all (3% of the field).

Yongmiao Hong 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 Yongmiao Hong sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 72 bars. Horizontal axis: D-Index, 30 to 101+. Vertical axis: number of scientists, 0 to 178. Most scientists, 178, have 33 D-Index. The last bar groups every scientist with 101 D-Index or more. The highlighted bar, 42 D-Index, is where this scientist sits. 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: 42 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Economics and Finance scientists by D-index, Research.com 2026 ranking edition. Based on 3,760 ranked scientists.
D-Index Scientists This scientist
30 126
31 147
32 157
33 178
34 171
35 141
36 132
37 129
38 130
39 120
40 117
41 113
42 114 42
43 97
44 115
45 86
46 78
47 83
48 62
49 74
50 50
51 66
52 69
53 55
54 67
55 61
56 62
57 45
58 34
59 47
60 46
61 36
62 37
63 56
64 50
65 32
66 28
67 30
68 24
69 25
70 22
71 21
72 26
73 24
74 23
75 12
76 14
77 15
78 15
79 17
80 17
81 11
82 10
83 16
84 11
85 5
86 9
87 13
88 9
89 7
90 6
91 4
92 8
93 10
94 11
95 6
96 4
97 4
98 6
99 6
100 8
101+ 100
Download as CSV

Yongmiao Hong D-index placement in Economics and Finance in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,760 Economics and Finance scientists ranked by Research.com in 2026, grouped into 72 ranges running from 30 to 101+ D-Index.
  • Yongmiao Hong, a Economics and Finance scholar from Cornell University, records 42 D-Index - the 47th percentile of the discipline.
  • 47% of ranked Economics and Finance scientists score the same or lower than Yongmiao Hong, and about 53% score higher.
  • The median of the discipline falls in the 44 D-Index range, and Yongmiao Hong ranks below the median.
  • The most crowded range is 33 D-Index, holding 178 scientists (5% of the field).
  • 59% of the field sits in the lowest quarter of the value range (up to 47 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 101 D-Index or more, 100 scientists in all (3% of the field).

Overview

Yongmiao Hong is affiliated with Cornell University in the United States and specializes in the fields of economics, econometrics, and finance. Their research output spans a variety of topics within these areas, with particular focus on monetary policy, market dynamics, financial risk, and statistical methods.

The main fields of study for this scientist include:

  • Economics, Econometrics and Finance

Their subfields of study highlight further specialization in:

  • Economics and Econometrics
  • Finance
  • General Economics, Econometrics and Finance
  • Statistics and Probability
  • Renewable Energy, Sustainability and the Environment

Yongmiao Hong's research topics cover a broad spectrum, including:

  • Monetary Policy and Economic Impact
  • Market Dynamics and Volatility
  • Financial Risk and Volatility Modeling
  • Statistical Methods and Inference
  • Energy, Environment, and Transportation Policies
  • Financial Markets and Investment Strategies
  • Blockchain Technology Applications and Security

The scientist has contributed to various publications, with recent papers including:

  • Policy assessments for the carbon emission flows and sustainability of Bitcoin blockchain operation in China (2021, Nature Communications)
  • Policy Assessments for the Carbon Emission Flows and Sustainability of Bitcoin Blockchain Operation in China (2020, Research Square)
  • Probabilistic and deterministic wind speed forecasting based on non-parametric approaches and wind characteristics information (2021, Applied Energy)
  • Time-varying model averaging (2020, Journal of Econometrics)
  • Forecasting crude oil price intervals and return volatility via autoregressive conditional interval models (2021, Econometric Reviews)

Frequent coauthors working with Yongmiao Hong include:

  • Shouyang Wang
  • Jiajing Sun
  • Yuying Sun
  • Haiqi Li
  • Zhonghao Fu

Common venues where Yongmiao Hong publishes research are:

  • SSRN Electronic Journal
  • Journal of Econometrics
  • Economics Letters
  • International Review of Financial Analysis
  • Econometric Reviews

Additionally, Yongmiao Hong has contributed to book publications, including one titled Foundations of Modern Econometrics published by World Scientific in 2020.

Best Publications

  • Autonomy and Incentives in Chinese State Enterprises

    Theodore Groves;Yongmiao Hong;John McMillan;Barry Naughton

  • China's Evolving Managerial Labor Market

    Theodore Groves;Yongmiao Hong;John McMillan;Barry Naughton

  • A test for volatility spillover with application to exchange rates

    Yongmiao Hong;Yongmiao Hong

  • Asymmetries in Stock Returns: Statistical Tests and Economic Evaluation

    Yongmiao Hong;Jun Tu;Guofu Zhou

  • Asymmetries in Stock Returns: Statistical Tests and Economic Evaluation

    Yongmiao Hong;Jun Tu;Guofu Zhou

  • Granger Causality in Risk and Detection of Extreme Risk Spillover Between Financial Markets

    Yongmiao Hong;Yanhui Liu;Shouyang Wang

  • Granger Causality in Risk and Detection of Extreme Risk Spillover Between Financial Markets

    Yongmiao Hong;Yongmiao Hong;Yanhui Liu;Shouyang Wang

  • Nonparametric Specification Testing for Continuous-Time Models with Applications to Term Structure of Interest Rates

    Yongmiao Hong;Haitao Li

  • Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach

    Xiao Ke;Haiqiang Chen;Yongmiao Hong;Yongmiao Hong;Cheng Hsiao;Cheng Hsiao

  • Constistent specification testing via nonparametric series regression

    Yongmiao Hong;Halbert White

  • Hypothesis Testing in Time Series via the Empirical Characteristic Function: A Generalized Spectral Density Approach

    Yongmiao Hong

  • Consistent testing for serial correlation of unknown form

    Yongmiao Hong

  • Testing for Smooth Structural Changes in Time Series Models via Nonparametric Regression

    Bin Chen;Yongmiao Hong

  • Policy assessments for the carbon emission flows and sustainability of Bitcoin blockchain operation in China

    Shangrong Jiang;Yuze Li;Quanying Lu;Yongmiao Hong;Yongmiao Hong

  • ASYMPTOTIC DISTRIBUTION THEORY FOR NONPARAMETRIC ENTROPY MEASURES OF SERIAL DEPENDENCE

    Yongmiao Hong;Halbert White

  • Inference on Predictability of Foreign Exchange Rates via Generalized Spectrum and Nonlinear Time Series Models

    Yongmiao Hong;Tae-Hwy Lee

  • Generalized Spectral Tests for Conditional Mean Models in Time Series with Conditional Heteroscedasticity of Unknown Form

    Yongmiao Hong;Yoon-Jin Lee

  • Time-varying Granger causality tests for applications in global crude oil markets

    Feng-bin Lu;Yong-miao Hong;Shou-yang Wang;Kin-keung Lai

  • Testing for independence between two covariance stationary time series

    Yongmiao Hong

  • Testing for independence between two covariance stationary time series

    Yongmiao Hong

  • Can the random walk model be beaten in out-of-sample density forecasts? Evidence from intraday foreign exchange rates

    Yongmiao Hong;Yongmiao Hong;Haitao Li;Feng Zhao

  • Out-of-Sample Performance of Discrete-Time Spot Interest Rate Models

    Yongmiao Hong;Haitao Li;Feng Zhao

  • Financial Volatility Forecasting with Range-based Autoregressive Volatility Model

    Hongquan Li;Yongmiao Hong

Frequent Co-Authors

Shouyang Wang
Shouyang Wang Chinese Academy of Sciences
Halbert White
Halbert White University of California, San Diego
Cheng Hsiao
Cheng Hsiao University of Southern California
Guofu Zhou
Guofu Zhou Washington University in St. Louis
Kin Keung Lai
Kin Keung Lai Shaanxi Normal University
John McMillan
John McMillan Stanford University
Jiti Gao
Jiti Gao Monash University

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