5
H index
2
i10 index
119
Citations
Kobe University | 5 H index 2 i10 index 119 Citations RESEARCH PRODUCTION: 7 Articles 7 Papers RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Katsuyuki Tanaka. | Is cited by: | Cites to: |
Journals with more than one article published | # docs |
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JRFM | 2 |
Working Papers Series with more than one paper published | # docs |
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Discussion Paper Series / Research Institute for Economics & Business Administration, Kobe University | 5 |
Discussion Papers / Graduate School of Economics, Kobe University | 2 |
Year ![]() | Title of citing document ![]() |
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2025 | Understanding Solid Oxide Fuel Cell Hybridization: A Critical Review. (2025). Assanis, Dimitris ; Mamalis, Sotirios ; Nikiforakis, Ioannis. In: Applied Energy. RePEc:eee:appene:v:377:y:2025:i:pc:s030626192401660x. Full description at Econpapers || Download paper |
2024 | Nonlinear 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. Full description at Econpapers || Download paper |
2024 | Prediction 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. Full description at Econpapers || Download paper |
2024 | Prescreening 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. Full description at Econpapers || Download paper |
2024 | Predicting oil prices: A comparative analysis of machine learning and image recognition algorithms for trend prediction. (2024). Saltoğlu, Burak ; Kuzuba, Tolga U ; Saltolu, Burak ; Goncu, Ahmet. In: Finance Research Letters. RePEc:eee:finlet:v:67:y:2024:i:pb:s1544612324009048. Full description at Econpapers || Download paper |
2024 | Early 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. Full description at Econpapers || Download paper |
2024 | Assessing 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. Full description at Econpapers || Download paper |
Year ![]() | Title ![]() | Type ![]() | Cited ![]() |
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2019 | ANALYZING INDUSTRY‐LEVEL VULNERABILITY BY PREDICTING FINANCIAL BANKRUPTCY In: Economic Inquiry. [Full Text][Citation analysis] | article | 6 |
2016 | Random forests-based early warning system for bank failures In: Economics Letters. [Full Text][Citation analysis] | article | 48 |
2003 | Multi-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] | article | 51 |
2019 | Can We Forecast Daily Oil Futures Prices? Experimental Evidence from Convolutional Neural Networks In: JRFM. [Full Text][Citation analysis] | article | 7 |
2021 | New 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] | article | 1 |
2018 | Financial Hazard Map: Financial Vulnerability Predicted by a Random Forests Classification Model In: Sustainability. [Full Text][Citation analysis] | article | 6 |
2017 | Financial 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 | |
2021 | Measuring Technological Competition among Big Five Using Patent Data: A Systematic and Scalable Approach Based on Information Retrieval Technology In: Discussion Paper Series. [Citation analysis] | paper | 0 |
2022 | Technological Competition among the Big Five in Patent Data: A Systematic and Scalable Approach Based on Web-Search Technology In: Discussion Paper Series. [Citation analysis] | paper | 0 |
2022 | Machine Learning: New Tools for Economic Analysis In: Discussion Paper Series. [Citation analysis] | paper | 0 |
2024 | Reality Hits Early Warning System: Based on Unsupervised Isolation Forest Anomaly Detection In: Discussion Paper Series. [Citation analysis] | paper | 0 |
2024 | Is It Possible to Detect the Insolvency of a Company? In: Discussion Paper Series. [Citation analysis] | paper | 0 |
2017 | Forecasting the Vulnerability of Industrial Economic Activities: Predicting the Bankruptcy of Companies In: Discussion Papers. [Citation analysis] | paper | 0 |
2019 | Asymmetric technological distance measure based on language model In: Applied Economics Letters. [Full Text][Citation analysis] | article | 0 |
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