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Yun Jia Tang

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First Name:Yun
Middle Name:Jia
Last Name:Tang
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RePEc Short-ID:pta845

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Articles

  1. Chi, Jianxin Daniel & Su, Xunhua & Tang, Yun & Xu, Bin, 2020. "Is language an economic institution? Evidence from R&D investment," Journal of Corporate Finance, Elsevier, vol. 62(C).
  2. Tang, Y. & Zhang, L. & Pan, J. & Zhang, Q. & He, T. & Wu, Z. & Zhan, J. & Li, Q., 2017. "Unintentional poisoning in China, 1990 to 2015: The global burden of disease study 2015," American Journal of Public Health, American Public Health Association, vol. 107(8), pages 1311-1315.
  3. Y. Tang & Q. L. Li, 2016. "Asymptotic Distribution of Isolated Nodes in Secure Wireless Sensor Networks under Transmission Constraints," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-10, August.
  4. Y. Tang & J. J. Jing & Y. Yang & C. Xie, 2015. "Parameter Estimation of a Delay Time Model of Wearing Parts Based on Objective Data," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-8, July.
  5. Y. Tang & Q. Xue & Z. Li & W. Feng, 2015. "Three modes of rainfall infiltration inducing loess landslide," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 137-150, October.
  6. Y. Tang & Q. L. Li, 2015. "Zero-One Law for Connectivity in Superposition of Random Key Graphs on Random Geometric Graphs," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-9, November.
  7. Cai, Yuan & Wang, Jian-zhou & Tang, Yun & Yang, Yu-chen, 2011. "An efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherical ARTMAP network) neural network," Energy, Elsevier, vol. 36(2), pages 1340-1350.
  8. C. F. Liu & Y. Tang, 2009. "Metastable state and macroscopic quantum tunneling of binary mixtures," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 70(2), pages 193-199, July.
  9. Y. Tang & J. Y. H. Fuh & H. T. Loh & Y. S. Wong & Y. K. Lim, 2008. "Laser Dicing Of Silicon Wafer," Surface Review and Letters (SRL), World Scientific Publishing Co. Pte. Ltd., vol. 15(01n02), pages 153-159.
  10. Tang, Yun & Yang, Fenghong & Chen, Guanrong & Zhou, Tianshou, 2006. "Classification of homoclinic tangencies for periodically perturbed systems," Chaos, Solitons & Fractals, Elsevier, vol. 28(1), pages 76-89.
  11. William Lam & Y. Tang & K. Chan & Mei-Lam Tam, 2006. "Short-term Hourly Traffic Forecasts using Hong Kong Annual Traffic Census," Transportation, Springer, vol. 33(3), pages 291-310, May.

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.

Articles

  1. Chi, Jianxin Daniel & Su, Xunhua & Tang, Yun & Xu, Bin, 2020. "Is language an economic institution? Evidence from R&D investment," Journal of Corporate Finance, Elsevier, vol. 62(C).

    Cited by:

    1. Stephie Tsai, Hsin-Ju & Wu, Yuliang & Xu, Bin, 2021. "Does capital market drive corporate investment efficiency? Evidence from equity lending supply," Journal of Corporate Finance, Elsevier, vol. 69(C).
    2. Di Pietro, Francesca & Souitaris, Vangelis & Masciarelli, Francesca & Prencipe, Andrea, 2023. "Closeness of the future: Influence of language future-time reference on individual behaviour," Journal of Business Venturing Insights, Elsevier, vol. 19(C).
    3. Rottner, Florian, 2021. "Language and decision making: Board members and the investment in the future," University of Göttingen Working Papers in Economics 421, University of Goettingen, Department of Economics.
    4. Hussinger, Katrin & Issah, Wunnam, 2023. "Early patent disclosure and R&D investment in family firms," ZEW Discussion Papers 23-044, ZEW - Leibniz Centre for European Economic Research.
    5. Niklas Ziemann, 2022. "You will receive your money next week! Experimental evidence on the role of Future-Time Reference for intertemporal decision-making," CEPA Discussion Papers 56, Center for Economic Policy Analysis.
    6. Astghik Mavisakalyan & Yashar Tarverdi & Clas Weber, 2022. "Heaven can wait: future tense and religiosity," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(3), pages 833-860, July.
    7. Francesco Campo & Luca Nunziata & Lorenzo Rocco, 2024. "Business is tense: new evidence on how language affects economic activity," Journal of Economic Growth, Springer, vol. 29(1), pages 121-149, March.
    8. Keller, Tamás & Kiss, Hubert János & Szakál, Péter, 2024. "Endogenous language use and patience," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 792-812.
    9. Zhang, Zhi & Zhang, Di & Jiang, Senyang & Li, Ao & Yu, Wei, 2023. "The effect of language on IPO underpricing: Evidence from a multinational research," International Review of Financial Analysis, Elsevier, vol. 89(C).
    10. Astghik Mavisakalyan & Yashar Tarverdi & Clas Weber, 2020. "Paradise Postponed: Future Tense and Religiosity," Bankwest Curtin Economics Centre Working Paper series WP2001, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
    11. Tang, Jintong & Yang, Jun & Ye, Wenping & Khan, Shaji A., 2021. "Now is the time: The effects of linguistic time reference and national time orientation on innovative new ventures," Journal of Business Venturing, Elsevier, vol. 36(5).
    12. Chen, Kejing & Guo, Wenqi & Jiang, Lin & Xiong, Xiong & Yang, Mo, 2022. "Does time-space compression affect analyst forecast performance?," Research in International Business and Finance, Elsevier, vol. 62(C).
    13. Liang Chen & Wanli Li, 2022. "Language acquisition and regional innovation: Evidence from English proficiency in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 178-191, January.
    14. Dar, Shafkat Shafi & Sahu, Sohini, 2022. "The effect of language on financial inclusion," Economic Modelling, Elsevier, vol. 106(C).
    15. Rottner, Florian, 2021. "Language and xenophobia," University of Göttingen Working Papers in Economics 412, University of Goettingen, Department of Economics.
    16. Kadzima, Marvelous & Machokoto, Michael, 2023. "A semi-parametric analysis of the cash flow sensitivity of cash," Finance Research Letters, Elsevier, vol. 56(C).
    17. Silvia Angerer & Daniela Glätzle-Rützler & Philipp Lergetporer & Matthias Sutter, 2021. "The effects of language on patience: an experimental replication study of the linguistic-savings hypothesis in Austria," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(1), pages 88-97, September.
    18. Wei Huang & Jaehyeon Kim, 2020. "Linguistically Induced Time Perception and Asymmetric Cost Behavior," Management International Review, Springer, vol. 60(5), pages 755-785, October.
    19. Machokoto, Michael, 2024. "The impact of cultural orientation towards secrecy on innovation," Economics Letters, Elsevier, vol. 234(C).
    20. Gang, Cuiui & Li, Juanwei & Hu, Haiqing & Wei, Wei, 2023. "Dynamic co-movement between economic growth and language: A new perspective of technological progress," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 705-721.
    21. Summerville, Karoline M. & Chen, Victor Zitian & Shoham, Amir & Taras, Vasyl, 2024. "Speaking of diversity: Can linguistic structural differences explain cultural values toward equity, diversity, and inclusion across the globe?," Journal of World Business, Elsevier, vol. 59(1).
    22. He, Wen & Zhang, Feida, 2022. "Languages and dividends," The British Accounting Review, Elsevier, vol. 54(6).

  2. Tang, Y. & Zhang, L. & Pan, J. & Zhang, Q. & He, T. & Wu, Z. & Zhan, J. & Li, Q., 2017. "Unintentional poisoning in China, 1990 to 2015: The global burden of disease study 2015," American Journal of Public Health, American Public Health Association, vol. 107(8), pages 1311-1315.

    Cited by:

    1. Lamisa Ashraf & Priyanka Agrawal & Aminur Rahman & Shumona Sharmin Salam & Qingfeng Li, 2019. "Burden of Lesser-Known Unintentional Non-Fatal Injuries in Rural Bangladesh: Findings from a Large-Scale Population-Based Study," IJERPH, MDPI, vol. 16(18), pages 1-9, September.
    2. Eun-Hae Lee & Ju-Ok Park & Joon-Pil Cho & Choung-Ah Lee, 2021. "Prioritising Risk Factors for Prescription Drug Overdose among Older Adults in South Korea: A Multi-Method Study," IJERPH, MDPI, vol. 18(11), pages 1-11, June.

  3. Y. Tang & Q. Xue & Z. Li & W. Feng, 2015. "Three modes of rainfall infiltration inducing loess landslide," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 137-150, October.

    Cited by:

    1. Tanmoy Das & Vansittee Dilli Rao & Deepankar Choudhury, 2022. "Numerical investigation of the stability of landslide-affected slopes in Kerala, India, under extreme rainfall event," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 751-785, October.
    2. Xiang-Zhou Xu & Wen-Zhao Guo & Ya-Kun Liu & Jian-Zhong Ma & Wen-Long Wang & Hong-Wu Zhang & Hang Gao, 2017. "Landslides on the Loess Plateau of China: a latest statistics together with a close look," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1393-1403, April.
    3. Fan Liu & Yahong Deng & Tianyu Zhang & Faqiao Qian & Nan Yang & Hongquan Teng & Wei Shi & Xue Han, 2024. "Landslide Distribution and Development Characteristics in the Beiluo River Basin," Land, MDPI, vol. 13(7), pages 1-28, July.
    4. Yaming Tang & Yinqiang Bi & Zizheng Guo & Zhengguo Li & Wei Feng & Jiayun Wang & Yane Li & Hongna Ma, 2021. "A Novel Method for Obtaining the Loess Structural Index from Computed Tomography Images: A Case Study from the Lvliang Mountains of the Loess Plateau (China)," Land, MDPI, vol. 10(3), pages 1-15, March.
    5. Jun Jia & Xiangjun Pei & Xiaopeng Guo & Shenghua Cui & Pingping Sun & Haoran Fan & Xiaochao Zhang & Qi Gu, 2024. "Laboratory Model Tests on the Deformation and Failure of Terraced Loess Slopes Induced by Extreme Rainfall," Land, MDPI, vol. 13(10), pages 1-22, October.
    6. Yanrong Xu & C. F. Leung & Jian Yu & Wenwu Chen, 2018. "Numerical modelling of hydro-mechanical behaviour of ground settlement due to rising water table in loess," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 241-260, October.
    7. Zongji Yang & Bo Pang & Wufan Dong & Dehua Li & Wei Shao, 2023. "Hydromechanical coupling mechanism and an early warning method for paraglacial debris flows triggered by infiltration: Insights from field monitoring in Tianmo gully, Tibetan Plateau," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 3287-3305, July.

  4. Cai, Yuan & Wang, Jian-zhou & Tang, Yun & Yang, Yu-chen, 2011. "An efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherical ARTMAP network) neural network," Energy, Elsevier, vol. 36(2), pages 1340-1350.

    Cited by:

    1. Ko, Chia-Nan & Lee, Cheng-Ming, 2013. "Short-term load forecasting using SVR (support vector regression)-based radial basis function neural network with dual extended Kalman filter," Energy, Elsevier, vol. 49(C), pages 413-422.
    2. Xiao, Liye & Shao, Wei & Wang, Chen & Zhang, Kequan & Lu, Haiyan, 2016. "Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting," Applied Energy, Elsevier, vol. 180(C), pages 213-233.
    3. Xiao, Liye & Shao, Wei & Liang, Tulu & Wang, Chen, 2016. "A combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting," Applied Energy, Elsevier, vol. 167(C), pages 135-153.
    4. An, Ning & Zhao, Weigang & Wang, Jianzhou & Shang, Duo & Zhao, Erdong, 2013. "Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting," Energy, Elsevier, vol. 49(C), pages 279-288.
    5. Yuqi Dong & Xuejiao Ma & Chenchen Ma & Jianzhou Wang, 2016. "Research and Application of a Hybrid Forecasting Model Based on Data Decomposition for Electrical Load Forecasting," Energies, MDPI, vol. 9(12), pages 1-30, December.
    6. Deihimi, Ali & Orang, Omid & Showkati, Hemen, 2013. "Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction," Energy, Elsevier, vol. 57(C), pages 382-401.
    7. Deihimi, Ali & Showkati, Hemen, 2012. "Application of echo state networks in short-term electric load forecasting," Energy, Elsevier, vol. 39(1), pages 327-340.

  5. William Lam & Y. Tang & K. Chan & Mei-Lam Tam, 2006. "Short-term Hourly Traffic Forecasts using Hong Kong Annual Traffic Census," Transportation, Springer, vol. 33(3), pages 291-310, May.

    Cited by:

    1. Quang Hoc Tran & Yao-Min Fang & Tien-Yin Chou & Thanh-Van Hoang & Chun-Tse Wang & Van Truong Vu & Thi Lan Huong Ho & Quang Le & Mei-Hsin Chen, 2022. "Short-Term Traffic Speed Forecasting Model for a Parallel Multi-Lane Arterial Road Using GPS-Monitored Data Based on Deep Learning Approach," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    2. James W. Taylor & Ralph D. Snyder, 2009. "Forecasting Intraday Time Series with Multiple Seasonal Cycles Using Parsimonious Seasonal Exponential Smoothing," Monash Econometrics and Business Statistics Working Papers 9/09, Monash University, Department of Econometrics and Business Statistics.
    3. Taylor, James W., 2010. "Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles," International Journal of Forecasting, Elsevier, vol. 26(4), pages 627-646, October.
    4. Noelia Caceres & Luis M. Romero & Francisco J. Morales & Antonio Reyes & Francisco G. Benitez, 2018. "Estimating traffic volumes on intercity road locations using roadway attributes, socioeconomic features and other work-related activity characteristics," Transportation, Springer, vol. 45(5), pages 1449-1473, September.
    5. Ruiz-Aguilar, J.J. & Turias, I.J. & Jiménez-Come, M.J., 2014. "Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 1-13.
    6. Gu Pang & Bartosz Gebka, 2017. "Forecasting container throughput using aggregate or terminal-specific data? The case of Tanjung Priok Port, Indonesia," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2454-2469, May.
    7. M. Milenković & N. Milosavljevic & N. Bojović & S. Val, 2021. "Container flow forecasting through neural networks based on metaheuristics," Operational Research, Springer, vol. 21(2), pages 965-997, June.
    8. Taylor, James W., 2010. "Triple seasonal methods for short-term electricity demand forecasting," European Journal of Operational Research, Elsevier, vol. 204(1), pages 139-152, July.

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