Katsuyuki Tanaka : Citation Profile

Are you Katsuyuki Tanaka?

Kobe University

4

H index

2

i10 index

111

Citations

RESEARCH PRODUCTION:

6

Articles

6

Papers

RESEARCH ACTIVITY:

   21 years (2003 - 2024). See details.
   Cites by year: 5
   Journals where Katsuyuki Tanaka has often published
   Relations with other researchers
   Recent citing documents: 22.    Total self citations: 2 (1.77 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pta859
   Updated: 2024-12-03    RAS profile: 2024-06-10    
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Relations with other researchers

Works with:

Hamori, Shigeyuki (4)

Kamihigashi, Takashi (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Katsuyuki Tanaka.

Is cited by:

Hamori, Shigeyuki (5)

von Schweinitz, Gregor (4)

Mercadier, Mathieu (3)

Beutel, Johannes (2)

Lagravinese, Raffaele (2)

Resce, Giuliano (2)

Florios, Kostas (2)

Kristóf, Tamás (1)

Buch, Claudia (1)

Piermattei, Stefano (1)

Puah, Chin-Hong (1)

Cites to:

Rose, Andrew (16)

Frankel, Jeffrey (16)

Bollerslev, Tim (9)

Hamori, Shigeyuki (6)

Diebold, Francis (5)

Andersen, Torben (5)

Kaminsky, Graciela (4)

Spiegel, Mark (4)

Reinhart, Carmen (4)

Huizinga, Harry (3)

Demirguc-Kunt, Asli (3)

Main data

Where Katsuyuki Tanaka has published?

Journals with more than one article published# docs
JRFM2

Working Papers Series with more than one paper published# docs
Discussion Paper Series / Research Institute for Economics & Business Administration, Kobe University4
Discussion Papers / Graduate School of Economics, Kobe University2

Recent works citing Katsuyuki Tanaka (2024 and 2023)

YearTitle of citing document
2023Stock Trend Prediction: A Semantic Segmentation Approach. (2023). Bagherzadeh, Nader ; Nabiee, Shima. In: Papers. RePEc:arx:papers:2303.09323.

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2023Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis. (2023). Wang, Kexin ; Heluo, Yuxi ; Robson, Charles W. In: Papers. RePEc:arx:papers:2311.13046.

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2023Towards Better Banking Crisis Prediction: Could an Automatic Variable Selection Process Improve the Performance?. (2023). Liu, Xianglong. In: The Economic Record. RePEc:bla:ecorec:v:99:y:2023:i:325:p:288-312.

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2023Modeling an early warning system for household debt risk in Korea: A simple deep learning approach. (2023). Park, Sung Y. ; Kwon, Yujin. In: Journal of Asian Economics. RePEc:eee:asieco:v:84:y:2023:i:c:s1049007822001300.

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2023Stock index direction forecasting using an explainable eXtreme Gradient Boosting and investor sentiments. (2023). Su, Zhihao ; Zhu, Yingke ; Huang, Xiaoru ; Deng, Shangkun ; Shimada, Tatsuro ; Fu, Zhe. In: The North American Journal of Economics and Finance. RePEc:eee:ecofin:v:64:y:2023:i:c:s1062940822001838.

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2023What can be learned from the historical trend of crude oil prices? An ensemble approach for crude oil price forecasting. (2023). Wang, Shouyang ; Wei, Yunjie ; Lin, Wencan ; Cheng, Zishu. In: Energy Economics. RePEc:eee:eneeco:v:123:y:2023:i:c:s0140988323002347.

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2023Optimal design and performance assessment for a solar powered electricity, heating and hydrogen integrated energy system. (2023). Xiongwen, Zhang ; Yujie, GU ; Hongxia, Zhang ; Yiliang, Xie ; Chen, Zhang. In: Energy. RePEc:eee:energy:v:262:y:2023:i:pa:s0360544222023350.

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2023Measuring financial soundness around the world: A machine learning approach. (2023). Mertzanis, Charilaos ; Cerchiello, Paola ; Bitetto, Alessandro. In: International Review of Financial Analysis. RePEc:eee:finana:v:85:y:2023:i:c:s105752192200401x.

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2024Nonlinear behavior of tail risk resonance and early warning: Insight from global energy stock markets. (2024). Xu, Xin ; Rong, Xueyun ; Fang, Tingwei ; Xie, Qichang. In: International Review of Financial Analysis. RePEc:eee:finana:v:93:y:2024:i:c:s1057521924000942.

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2024Prediction of realized volatility and implied volatility indices using AI and machine learning: A review. (2024). Risstad, Morten ; Kaloudis, Aristidis ; Isern, Hkon Ramon ; Gunnarsson, Elias Sovik ; Westgaard, Sjur ; Vigdel, Benjamin. In: International Review of Financial Analysis. RePEc:eee:finana:v:93:y:2024:i:c:s1057521924001534.

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2024Prescreening bank failures with K-means clustering: Pros and cons. (2024). Gormus, Alper ; Parnes, Dror. In: International Review of Financial Analysis. RePEc:eee:finana:v:93:y:2024:i:c:s1057521924001546.

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2023Forecasting Stock Market Crashes via Machine Learning. (2023). Otto, Tizian ; Drobetz, Wolfgang ; Dichtl, Hubert. In: Journal of Financial Stability. RePEc:eee:finsta:v:65:y:2023:i:c:s1572308922001206.

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2023Analysing financial stability reports as crisis predictors with the use of text-mining. (2023). Smaga, Pawe ; Kurowski, Ukasz. In: The Journal of Economic Asymmetries. RePEc:eee:joecas:v:28:y:2023:i:c:s1703494923000348.

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2023Does machine learning help private sectors to alarm crises? Evidence from China’s currency market. (2023). Zong, LU ; Wang, Peiwan. In: Physica A: Statistical Mechanics and its Applications. RePEc:eee:phsmap:v:611:y:2023:i:c:s0378437123000250.

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2024Early warning models for systemic banking crises: Can political indicators improve prediction?. (2024). Uebelmesser, Silke ; Huynh, Tran. In: European Journal of Political Economy. RePEc:eee:poleco:v:81:y:2024:i:c:s0176268023001283.

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2024Assessing Machine Learning Techniques for Predicting Banking Crises in India. (2024). A. C. V. Subrahmanyam, ; Thota, Nagaraju ; Puli, Sreenivasulu. In: JRFM. RePEc:gam:jjrfmx:v:17:y:2024:i:4:p:141-:d:1367659.

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2023Sustainability of Shipping Logistics: A Warning Model. (2023). Ye, Chengang ; Liu, Meng ; Xu, Ronghua. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:14:p:11219-:d:1196975.

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2023Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods. (2023). Tang, Lian-Jie ; Wei, Zhen-Ke ; Xu, TA ; Xia, YU. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:2:p:1087-:d:1027537.

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2023Role of Comprehensive Income in Predicting Bankruptcy. (2023). Tsai, Chih-Fong ; Novitasari, Dinda ; Liang, Deron ; Lu, Hung-Yuan ; Rahmi, Asyrofa. In: Computational Economics. RePEc:kap:compec:v:62:y:2023:i:2:d:10.1007_s10614-022-10328-5.

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2023.

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Works by Katsuyuki Tanaka:

YearTitleTypeCited
2016Random forests-based early warning system for bank failures In: Economics Letters.
[Full Text][Citation analysis]		article48
2003Multi-criteria optimization of a district cogeneration plant integrating a solid oxide fuel cell–gas turbine combined cycle, heat pumps and chillers In: Energy.
[Full Text][Citation analysis]		article50
2019Can We Forecast Daily Oil Futures Prices? Experimental Evidence from Convolutional Neural Networks In: JRFM.
[Full Text][Citation analysis]		article6
2021New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market? In: JRFM.
[Full Text][Citation analysis]		article1
2018Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model In: Sustainability.
[Full Text][Citation analysis]		article6
2017Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model.(2017) In: Discussion Papers.
[Citation analysis]
This paper has nother version. Agregated cites: 6		paper
2021Measuring Technological Competition among Big Five Using Patent Data: A Systematic and Scalable Approach Based on Information Retrieval Technology In: Discussion Paper Series.
[Citation analysis]		paper0
2022Technological Competition among the Big Five in Patent Data: A Systematic and Scalable Approach Based on Web-Search Technology In: Discussion Paper Series.
[Citation analysis]		paper0
2022Machine Learning: New Tools for Economic Analysis In: Discussion Paper Series.
[Citation analysis]		paper0
2024Reality Hits Early Warning System: Based on Unsupervised Isolation Forest Anomaly Detection In: Discussion Paper Series.
[Citation analysis]		paper0
2017Forecasting the Vulnerability of Industrial Economic Activities: Predicting the Bankruptcy of Companies In: Discussion Papers.
[Citation analysis]		paper0
2019Asymmetric technological distance measure based on language model In: Applied Economics Letters.
[Full Text][Citation analysis]		article0

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