IDEAS home Printed from https://ideas.repec.org/f/pfa631.html
   My authors  Follow this author

Yong Fang

Personal Details

First Name:Yong
Middle Name:
Last Name:Fang
Suffix:
RePEc Short-ID:pfa631

Affiliation

School of Business
Nanjing University

Nanjing, China
https://nubs.nju.edu.cn/
RePEc:edi:sbnjicn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ralston, D.A. & C.J. Russell & Jane Terpstra-Tong & Malcolm Richardson & Casado, T. & María Teresa de La Garza Carranza & Irina Naoumova & Luis Jiménez-Treviño & Li, Y. & Srinivasan, N. & Tomasz Lenar, 2020. "Societal-Level vis-à-vis Individual-Level Work Values in the 21st Century Businessworld: An Empirical Analysis of 51 Countries," Post-Print hal-03083127, HAL.
  2. Meng, Bo & Fang, Yong & Yamano, Norihiko, 2012. "Measuring global value chains and regional economic integration : an international input-output approach," IDE Discussion Papers 362, Institute of Developing Economies, Japan External Trade Organization(JETRO).

Articles

  1. Fang, Y. & Qu, Z.G. & Zhang, J.F. & Xu, H.T. & Qi, G.L., 2020. "Simultaneous charging and discharging performance for a latent thermal energy storage system with a microencapsulated phase change material," Applied Energy, Elsevier, vol. 275(C).
  2. Baoyong Guo & Huanhe Dong & Yong Fang, 2020. "Symmetry Groups, Similarity Reductions, and Conservation Laws of the Time-Fractional Fujimoto–Watanabe Equation Using Lie Symmetry Analysis Method," Complexity, Hindawi, vol. 2020, pages 1-9, March.
  3. Jiuyun Sun & Huanhe Dong & Yuan Kong & Yong Fang, 2019. "Solution to Shortest Path Problem Using a Connective Probe Machine," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, November.
  4. Yong Fang & Jian Gao & Cheng Huang & Hua Peng & Runpu Wu, 2019. "Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-13, September.
  5. Baoyong Guo & Huanhe Dong & Yong Fang, 2019. "Lump Solutions and Interaction Solutions for the Dimensionally Reduced Nonlinear Evolution Equation," Complexity, Hindawi, vol. 2019, pages 1-9, October.
  6. Bo Meng & Yong Fang & Jiemin Guo & Yaxiong Zhang, 2017. "Measuring China’s domestic production networks through Trade in Value-added perspectives," Economic Systems Research, Taylor & Francis Journals, vol. 29(1), pages 48-65, January.
  7. Juan Tang & Yong Fang & Jian-Gang Tang, 2014. "The Lattice-Valued Turing Machines and the Lattice-Valued Type 0 Grammars," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-6, May.
  8. Daping Zhao & Yong Fang, 2014. "Representation Bias, Return Forecast, and Portfolio Selection in the Stock Market of China," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-8, April.
  9. Muyan Cai & Jinhuan Wei & Zhiling Zhang & Hongwei Zhao & Yunqiao Qiu & Yong Fang & Zhenli Gao & Jiazheng Cao & Wei Chen & Fangjian Zhou & Dan Xie & Junhang Luo, 2012. "Impact of Age on the Cancer-Specific Survival of Patients with Localized Renal Cell Carcinoma: Martingale Residual and Competing Risks Analysis," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-7, October.
  10. L. Madsen & Y. Fang, 2011. "Joint Regression Analysis for Discrete Longitudinal Data," Biometrics, The International Biometric Society, vol. 67(3), pages 1171-1175, September.
  11. Akihiro Asonuma & Yong Fang & Ronald Rousseau, 2006. "Reflections on the age distribution of Japanese scientists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 342-346, February.
  12. Fang Yong & Ronald Rousseau, 2001. "Lattices in citation networks: An investigation into the structure of citation graphs," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 273-287, February.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Meng, Bo & Fang, Yong & Yamano, Norihiko, 2012. "Measuring global value chains and regional economic integration : an international input-output approach," IDE Discussion Papers 362, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    Cited by:

    1. Marilia Marcato & Carolina Baltar & Fernando Sarti, 2019. "International competitiveness in a vertically fragmented production structure: empirical challenges and evidence," Economics Bulletin, AccessEcon, vol. 39(2), pages 876-893.
    2. -, 2016. "The South American input-output table: Key assumptions and methodological considerations," Documentos de Proyectos 40832, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    3. Inomata, Satoshi, 2013. "Trade in Value Added: An East Asian Perspective," ADBI Working Papers 451, Asian Development Bank Institute.
    4. Y. M. Kukushkina, 0. "Interrelation of regional integration of global value chains," International Trade and Trade Policy, ФГБОУ ВО "Ð Ð¾Ñ Ñ Ð¸Ð¹Ñ ÐºÐ¸Ð¹ Ñ ÐºÐ¾Ð½Ð¾Ð¼Ð¸Ñ‡ÐµÑ ÐºÐ¸Ð¹ ÑƒÐ½Ð¸Ð²ÐµÑ€Ñ Ð¸Ñ‚ÐµÑ‚ им. Г.Ð’. Плеханова", issue 4.
    5. Gáspár, Tamás & Antalóczy, Katalin & Sass, Magdolna, 2021. "A gyógyszeripari értéklánc sajátosságai Magyarországon [The characteristics of the pharmaceutical value chain in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 645-673.
    6. Enrique Gilles, 2015. "Una medición del valor agregado generado por las exportaciones colombianas," Documentos de Trabajo EAN 12975, Universidad EAN.
    7. Satoshi Inomata, 2014. "Trade in value added: concept, development, and an East Asian perspective," Chapters, in: Richard Baldwin & Masahiro Kawai & Ganeshan Wignaraja (ed.), A World Trade Organization for the 21st Century, chapter 3, pages 48-70, Edward Elgar Publishing.
    8. Hubert Escaith, 2014. "Mapping global value chains and measuring trade in tasks," Chapters, in: Benno Ferrarini & David Hummels (ed.), Asia and Global Production Networks, chapter 9, pages 287-337, Edward Elgar Publishing.
    9. Kaveri Deb & William R. Hauk, 2017. "RCA indices, multinational production and the Ricardian trade model," International Economics and Economic Policy, Springer, vol. 14(1), pages 1-25, January.
    10. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.
    11. Bullón, David & Mena, Tayutic & Meng, Bo & Sánchez, Natalia & Vargas, Henry & Inomata, Satoshi, 2015. "Using the input-output approach to measure participation in GVCs : the case of Costa Rica," IDE Discussion Papers 529, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    12. Katalin Antalóczy & Tamás Gáspár & Magdolna Sass, 2019. "The Specialties of the Pharmaceutical Value Chains in Hungary," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(supplemen), pages 41-72, December.

Articles

  1. Fang, Y. & Qu, Z.G. & Zhang, J.F. & Xu, H.T. & Qi, G.L., 2020. "Simultaneous charging and discharging performance for a latent thermal energy storage system with a microencapsulated phase change material," Applied Energy, Elsevier, vol. 275(C).

    Cited by:

    1. Ding, Yang & Wang, Hang & Huang, Bohou & Hu, Yige & Jiang, Feng & Ling, Xiang, 2022. "Thermal performance analysis of a 20-feet latent cold energy storage device integrated with a novel fin-plate unit for building cooling," Renewable Energy, Elsevier, vol. 200(C), pages 405-418.
    2. Barthwal, Mohit & Dhar, Atul & Powar, Satvasheel, 2021. "The techno-economic and environmental analysis of genetic algorithm (GA) optimized cold thermal energy storage (CTES) for air-conditioning applications," Applied Energy, Elsevier, vol. 283(C).
    3. Bianco, Nicola & Caliano, Martina & Fragnito, Andrea & Iasiello, Marcello & Mauro, Gerardo Maria & Mongibello, Luigi, 2023. "Thermal analysis of micro-encapsulated phase change material (MEPCM)-based units integrated into a commercial water tank for cold thermal energy storage," Energy, Elsevier, vol. 266(C).
    4. Junting Wu & Yingjin Zhang & Kanglong Sun & Qicheng Chen, 2022. "Heat Transfer Enhancement of Phase Change Material in Triple-Tube Latent Heat Thermal Energy Storage Units: Operating Modes and Fin Configurations," Energies, MDPI, vol. 15(15), pages 1-26, August.
    5. Wang, Ji-Xiang & Qian, Jian & Wang, Ni & Zhang, He & Cao, Xiang & Liu, Feifan & Hao, Guanqiu, 2023. "A scalable micro-encapsulated phase change material and liquid metal integrated composite for sustainable data center cooling," Renewable Energy, Elsevier, vol. 213(C), pages 75-85.
    6. Yang, Moucun & Moghimi, M.A. & Loillier, R. & Markides, C.N. & Kadivar, M., 2023. "Design of a latent heat thermal energy storage system under simultaneous charging and discharging for solar domestic hot water applications," Applied Energy, Elsevier, vol. 336(C).

  2. Baoyong Guo & Huanhe Dong & Yong Fang, 2020. "Symmetry Groups, Similarity Reductions, and Conservation Laws of the Time-Fractional Fujimoto–Watanabe Equation Using Lie Symmetry Analysis Method," Complexity, Hindawi, vol. 2020, pages 1-9, March.

    Cited by:

    1. Uddin, M. Hafiz & Zaman, U.H.M. & Arefin, Mohammad Asif & Akbar, M. Ali, 2022. "Nonlinear dispersive wave propagation pattern in optical fiber system," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).

  3. Yong Fang & Jian Gao & Cheng Huang & Hua Peng & Runpu Wu, 2019. "Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-13, September.

    Cited by:

    1. Wongchai, Anupong & Jenjeti, Durga rao & Priyadarsini, A. Indira & Deb, Nabamita & Bhardwaj, Arpit & Tomar, Pradeep, 2022. "Farm monitoring and disease prediction by classification based on deep learning architectures in sustainable agriculture," Ecological Modelling, Elsevier, vol. 474(C).
    2. Shangyi Yan & Jingya Wang & Zhiqiang Song, 2022. "Microblog Sentiment Analysis Based on Dynamic Character-Level and Word-Level Features and Multi-Head Self-Attention Pooling," Future Internet, MDPI, vol. 14(8), pages 1-19, July.
    3. Md Doulotuzzaman Xames & Fariha Kabir Torsha & Ferdous Sarwar, 2023. "A systematic literature review on recent trends of machine learning applications in additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2529-2555, August.

  4. Baoyong Guo & Huanhe Dong & Yong Fang, 2019. "Lump Solutions and Interaction Solutions for the Dimensionally Reduced Nonlinear Evolution Equation," Complexity, Hindawi, vol. 2019, pages 1-9, October.

    Cited by:

    1. Wensheng Chen & Jalil Manafian & Khaled Hussein Mahmoud & Abdullah Saad Alsubaie & Abdullah Aldurayhim & Alabed Alkader, 2023. "Cutting-Edge Analytical and Numerical Approaches to the Gilson–Pickering Equation with Plenty of Soliton Solutions," Mathematics, MDPI, vol. 11(16), pages 1-35, August.

  5. Bo Meng & Yong Fang & Jiemin Guo & Yaxiong Zhang, 2017. "Measuring China’s domestic production networks through Trade in Value-added perspectives," Economic Systems Research, Taylor & Francis Journals, vol. 29(1), pages 48-65, January.

    Cited by:

    1. Eduardo A. Haddad & Fatima Ezzahra Mengoub & Vinicius A. Vale, 2020. "Water content in trade: a regional analysis for Morocco," Economic Systems Research, Taylor & Francis Journals, vol. 32(4), pages 565-584, October.
    2. Zhong, Zhangqi & Guo, Zhifang & Zhang, Jianwu, 2021. "Does the participation in global value chains promote interregional carbon emissions transferring via trade? Evidence from 39 major economies," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    3. Wang, Tao & Xiao, Shiying & Yan, Jun & Zhang, Panpan, 2021. "Regional and sectoral structures of the Chinese economy: A network perspective from multi-regional input–output tables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    4. Zhang, Haoran & Li, Ruixiong & Cai, Xingrui & Zheng, Chaoyue & Liu, Laibao & Liu, Maodian & Zhang, Qianru & Lin, Huiming & Chen, Long & Wang, Xuejun, 2022. "Do electricity flows hamper regional economic–environmental equity?," Applied Energy, Elsevier, vol. 326(C).
    5. Chen, Quanrun & Gao, Yuning & Pei, Jiansuo & de Vries, Gaaitzen & Wang, Fei, 2022. "China's domestic production networks," China Economic Review, Elsevier, vol. 72(C).
    6. Yuwan Duan & Erik Dietzenbacher & Bart Los & Ruochen Dai, 2023. "Regional inequality in China during its rise as a giant exporter: A value chain analysis," Journal of Regional Science, Wiley Blackwell, vol. 63(1), pages 148-172, January.
    7. Ping Hua, 2022. "Impacts of global value chains' participation and domestic consumption on manufacturing employment in China," Working Papers hal-03840490, HAL.
    8. Zhu, Kunfu & Guo, Xuefan & Zhang, Zengkai, 2022. "Reevaluation of the carbon emissions embodied in global value chains based on an inter-country input-output model with multinational enterprises," Applied Energy, Elsevier, vol. 307(C).
    9. Liu, Bin & Zhang, Lei & Sun, Jide & Wang, Dedong & Liu, Chunlu & Luther, Mark & Xu, Youquan, 2020. "Analysis and comparison of embodied energies in gross exports of the construction sector by means of their value-added origins," Energy, Elsevier, vol. 191(C).
    10. Eduardo A. Haddad & Inácio F. Araújo, 2021. "The internal geography of services value‐added in exports: A Latin American perspective," Papers in Regional Science, Wiley Blackwell, vol. 100(3), pages 713-744, June.
    11. He, Yaxing & Huo, Weidong & Yu, Jie, 2023. "Tracing the regional dual value chains: Measurement on the production position and evidence from China," Journal of Asian Economics, Elsevier, vol. 85(C).
    12. Meng, Jing & Zhang, Zengkai & Mi, Zhifu & Anadon, Laura Diaz & Zheng, Heran & Zhang, Bo & Shan, Yuli & Guan, Dabo, 2018. "The role of intermediate trade in the change of carbon flows within China," Energy Economics, Elsevier, vol. 76(C), pages 303-312.
    13. Ping Hua, 2021. "How did China's GVCs participation influence its manufacturing productivity?," Working Papers hal-03505687, HAL.
    14. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    15. Eduardo Rodrigues Sanguinet & Augusto Mussi Alvim & Miguel Atienza & Adelar Fochezatto, 2021. "The subnational supply chain and the COVID‐19 pandemic: Short‐term impacts on the Brazilian regional economy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 158-186, November.
    16. Marcel P Timmer & Sébastien Miroudot & Gaaitzen J de Vries, 2019. "Functional specialisation in trade," Journal of Economic Geography, Oxford University Press, vol. 19(1), pages 1-30.
    17. Tong Zhao & Zhijie Song & Tianjiao Li, 2018. "Effect of innovation capacity, production capacity and vertical specialization on innovation performance in China's electronic manufacturing: Analysis from the supply and demand sides," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.

  6. L. Madsen & Y. Fang, 2011. "Joint Regression Analysis for Discrete Longitudinal Data," Biometrics, The International Biometric Society, vol. 67(3), pages 1171-1175, September.

    Cited by:

    1. Shi, Peng & Valdez, Emiliano A., 2014. "Multivariate negative binomial models for insurance claim counts," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 18-29.
    2. Lu Yang & Claudia Czado, 2022. "Two‐part D‐vine copula models for longitudinal insurance claim data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(4), pages 1534-1561, December.
    3. Roy T. Sabo & N. Rao Chaganty, 2011. "Letter to the Editor of Biometrics on “Joint Regression Analysis for Discrete Longitudinal Data” by Madsen and Fang," Biometrics, The International Biometric Society, vol. 67(4), pages 1669-1670, December.
    4. Hughes, John, 2021. "On the occasional exactness of the distributional transform approximation for direct Gaussian copula models with discrete margins," Statistics & Probability Letters, Elsevier, vol. 177(C).
    5. George Karabatsos, 2024. "Copula Approximate Bayesian Computation Using Distribution Random Forests," Stats, MDPI, vol. 7(3), pages 1-49, September.
    6. L. L. Henn, 2022. "Limitations and performance of three approaches to Bayesian inference for Gaussian copula regression models of discrete data," Computational Statistics, Springer, vol. 37(2), pages 909-946, April.
    7. Jong-Min Kim & Hyunsu Ju & Yoonsung Jung, 2020. "Copula Approach for Developing a Biomarker Panel for Prediction of Dengue Hemorrhagic Fever," Annals of Data Science, Springer, vol. 7(4), pages 697-712, December.

  7. Fang Yong & Ronald Rousseau, 2001. "Lattices in citation networks: An investigation into the structure of citation graphs," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 273-287, February.

    Cited by:

    1. Persson, Olle, 2010. "Identifying research themes with weighted direct citation links," Journal of Informetrics, Elsevier, vol. 4(3), pages 415-422.
    2. Leo Egghe & Ronald Rousseau, 2002. "Co-citation, bibliographic coupling and a characterization of lattice citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(3), pages 349-361, November.
    3. Sung-Soo Seol & Jung-Min Park, 2008. "Knowledge sources of innovation studies in Korea: A citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(1), pages 3-20, April.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-INT: International Trade (1) 2012-09-09

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Yong Fang should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.