1. Lin, J.W., 2021. Real-time magnetic observatory network: a review. Eur. J. Environ. Earth Sci., Vol. 2. 10.24018/ejgeo.2021.2.5.177.
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2. Lin, J.W., 2021. Magnetic field measurements by the satellite systems: a review. Eur. J. Environ. Earth Sci., 2: 35-36.
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3. Lin, J.W., 2021. Is the algorithm of artificial neural network a deduction or induction? discussion between natural sciences, mathematics and philosophy. Eur. J. Inform. Technol. Comput. Sci., 1: 6-8.
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4. Lin, J.W., 2021. Generalized two-dimensional principal component analysis and two artificial neural network models to detect traveling ionospheric disturbances. Nat. Hazards, 10.1007/s11069-021-05093-x.
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5. Lin, J.W., 2021. Brief introduce of planetary K-index: an indicator of geomagnetic storms. Eur. J. Environ. Earth Sci., 2: 57-58.
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6. Lin, J.W., 2020. Researching significant earthquakes in Taiwan using two back-propagation neural network models. Nat. Hazards, 103: 3563-3590.
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7. Lin, J.W. and J.S. Chiou, 2020. Detecting total electron content precursors before earthquakes by examining total electron content images based on butterworth filter in convolutional neural networks. IEEE Access, 8: 110478-110494.
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8. Lin, J.W., J.S. Chiou and C.T. Chao, 2019. Detecting all possible ionospheric precursors by Kernel-based two-dimensional principal component analysis. IEEE Access, 7: 53650-53666.
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9. Lin, J.W., 2019. The concept of synapse against popular opinion. J. Pharmaceut. Res. Int., 30: 1-3.
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10. Lin, J.W., 2019. Ginkgo Biloba as a new medication for resisting dementia: A new proposal. J. Pharmaceut. Res. Int., 31: 1-3.
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11. Lin, J.W. and J.S. Chiou, 2019. Active probability backpropagation neural network model for monthly prediction of probabilistic seismic hazard analysis in Taiwan. IEEE Access, 7: 108990-109014.
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12. Lin, J.W., C.T. Chao and J.S. Chiou, 2018. Determining neuronal number in each hidden layer using earthquake catalogues as training data in training an embedded back propagation neural network for predicting earthquake magnitude. IEEE Access, 6: 52582-52597.
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13. Lin, J.W., C.T. Chao and J.S. Chiou, 2018. Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg-Marquardt algorithm to minimise backpropagation errors. Geoscient. Instrum. Methods Data Syst., 7: 235-243.
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14. Lin, J.W., 2018. Is it possible to use BACK PROPAGATION NEURAL NETWORK (BPNN) as predictor when tracing the brain waves: A case study. Adv. Stud. Med. Sci., 6: 1-4.
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15. Lin, J.W., 2018. Ionospheric response to huge gas explosion in Kaohsiung City, Taiwan, on July 31, 2014. Geofísica Int., 57: 59-65.
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16. Lin, J.W., 2017. Backpropagation Neural Network (BPNN) as tracing method to trace physionet EMG signals: A case study. Adv. Stud. Med. Sci., 5: 63-69.
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17. Lin, J.W., 2017. Artificial neural network related to biological neuron network: A review. Adv. Stud. Med. Sci., 5: 55-62.
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18. Lin, J.W., 2017. Applying Two-Dimensional Principal Component Analysis (2DPCA) to the early detection of a weak earthquake-induced tsunami: A case study. HKIE Trans., 24: 54-59.
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19. Lin, J.W., 2016. Detecting ionospheric anomalies associated with three Japan Miyako earthquakes to show their correlations and associated earthquake-induced tsunamis. Geodesy Cartogr., 42: 7-15.
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20. Lin, J.W., 2015. Ionospheric precursor related to 03 August, 2014, M_w = 6.1 China' Yunnan earthquake: Two-dimensional principal component analysis. Disaster Adv., 8: 31-37.
21. Lin, J.W., 2015. Ionospheric anomaly associated with Xiaolin mudslide following Typhoon Morakot in Taiwan: Two-Dimensional Principal Component Analysis (2DPCA). Eur. J. Remote Sens., 48: 689-699.
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22. Lin, J.W., 2015. Early warning of tsunami from seismo-ionospheric fluctuation after Japan's March 11, 2011, M=9.0 Tohoku earthquake using two-dimensional principal component analysis. Ann. Geophys., Vol. 58, No. 4. 10.4401/ag-6710.
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23. Lin, J.W., 2015. Early warning from seismic ionospheric anomaly of the 24 May 2014, M_w = 6.4 Aegean-Sea earthquake: Two-Dimensional Principal Component Analysis (2DPCA). Geofísica Int., 54: 191-198.
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24. Lin, J.W., 2014. Xiaolin-Village Mudslide and Huge Gas Explosion in Kaohsiung, Taiwan. Lambert Academic Publishing, Saarbrucken, Germany, ISBN: 978-3-659-16500, Pages: 76.
25. Lin, J.W., 2014. Triggering-Earthquakes by Typhoons and Rainfalls in Taiwan. In: Lambert Academic Publishing, Saarbrucken, Germany, ISBN: 978-3-659-55055-3, Pages: 80.
26. Lin, J.W., 2014. Rainfall-triggered ordinary earthquakes in Taiwan: A statistical analysis. Hydrol. Sci. J., 59: 1074-1080.
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27. Lin, J.W., 2014. Possible reason of ionospheric anomaly post the April 20, 2013, M_w = 6.6 China' Lushan earthquake: Applying Two-Dimensional Principal Component Analysis (2DPCA) to two-dimensional Total Electron Content (TEC). J. Plasma Phys., 80: 437-446.
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28. Lin, J.W., 2014. Ionospheric situation from huge gas explosion in Kaohsiung City in Taiwan on 31 July 2014. Disaster Adv., 7: 44-48.
29. Lin, J.W., 2014. Ionospheric precursor of 2008 China Wenchuan earthquake using two-dimensional principal component analysis. HKIE Trans., 21: 192-194.
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30. Lin, J.W., 2014. Ionospheric precursor for a deep earthquake (∼378 km) near Papua New Guinea occurred on 7 July 2013, M_w = 7.2 in the environment of geomagnetic storm using two-dimensional principal component analysis. Georisk: Assess. Manage. Risk Eng. Syst. Geohazards, 8: 141-146.
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31. Lin, J.W., 2014. Ionospheric Total Electron Content Anomaly Related to Deep Earthquake. Lambert Academic Publishing, Saarbrucken, Germany, ISBN: 978-3-659-54425-5, Pages: 76.
32. Lin, J.W., 2013. Taiwan' Chi-Chi earthquake precursor detection using nonlinear principal component analysis to multi-channel total electron content records. J. Earth Sci., 24: 244-253.
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33. Lin, J.W., 2013. Is it possible to detect earlier ionospheric precursors before large earthquakes using Principal Component Analysis (PCA)? Arabian J. Geosci., 6: 1091-1100.
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34. Lin, J.W., 2013. Ionospheric anomaly related to M=6.6, 26 August 2012, Tobelo earthquake near Indonesia: Two-dimensional principal component analysis. Acta Geodaetica Geophys., 48: 247-264.
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35. Lin, J.W., 2013. Ionospheric anomaly due to the volcanic eruption in Colima, Mexico, 06 January 2013: Two-dimensional principal component analysis. Eur. J. Remote Sens., 46: 689-698.
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36. Lin, J.W., 2013. Data Signal Processing. Lambert Academic Publishing, Saarbrucken, Germany, ISBN: 978-3-659-45715-9, Pages: 76.
37. Lin, J.W., 2013. An empirical correlation between the occurrence of earthquakes and typhoons in Taiwan: A statistical multivariate approach. Nat. Hazards, 65: 605-634.
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38. Lin, J.W., 2012. Study of ionospheric anomalies due to impact of typhoon using principal component analysis and image processing. J. Earth Syst. Sci., 121: 1001-1010.
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39. Lin, J.W., 2012. Potential reasons for ionospheric anomalies immediately prior to China's Wenchuan earthquake on 12 May 2008 detected by nonlinear principal component analysis. Int. J. Applied Earth Observ. Geoinform., 14: 178-191.
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40. Lin, J.W., 2012. Nonlinear principal component analysis in the detection of ionospheric electron content anomalies related to a deep earthquake (>300 km, M 7.0) on 1 January 2012, Izu Islands, Japan. J. Geophys. Res.: Space Phys., Vol. 117. 10.1029/2012JA017614.
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41. Lin, J.W., 2012. Ionospheric total electron content seismo-perturbation after Japan's March 11, 2011, M=9.0 Tohoku earthquake under a geomagnetic storm; a nonlinear principal component analysis. Astrophys. Space Sci., 341: 251-258.
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42. Lin, J.W., 2012. Ionospheric total electron content anomalies due to Typhoon Nakri on 29 May 2008: A nonlinear principal component analysis. Comput. Geosci., 46: 189-195.
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43. Lin, J.W., 2012. Ionospheric Anomaly Related to Earthquake: Principal Component Analysis and Nonlinear Component Analysis. Lambert Academic Publishing, Saarbrucken, Germany, ISBN: 978-3-8383-8840-3, Pages: 76.
44. Lin, J.W., 2011. Use of principal component analysis in the identification of the spatial pattern of an ionospheric total electron content anomalies after China's May 12, 2008, M = 7.9 Wenchuan earthquake. Adv. Space Res., 47: 1983-1989.
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45. Lin, J.W., 2011. Spatial pattern of a seismo-ionospheric signature using principal component analysis. Int. J. Remote Sens., 32: 6423-6435.
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46. Lin, J.W., 2011. Seismo-ionospheric disturbance using principal component analysis-a study of Japan's Iwate-Miyagi Nairiku earthquake on 13 June 2008. Acta Geodaetica Geophysica Hungarica, 46: 1-9.
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47. Lin, J.W., 2011. Principal component analysis method in the detection of total electron content anomalies in the 24 hrs prior to large earthquakes. Arabian J. Geosci., 4: 575-593.
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48. Lin, J.W., 2011. Potential reasons for ionospheric anomalies detected by nonlinear principal component analysis just before the China Wenchuan earthquake and their relationship to source conditions. Ann. Geophys., 54: 748-754.
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49. Lin, J.W., 2011. Possibility of early detection of GPS ionospheric total electron content anomalies associated with large earthquakes using principal component analysis. Acta Geodaetica Geophysica Hungarica, 46: 93-103.
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50. Lin, J.W., 2011. Latitude-time total electron content anomalies as precursors to Japan's large earthquakes associated with principal component analysis. Int. J. Geophys. 10.1155/2011/763527.
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51. Lin, J.W., 2011. Karhunen-Loeve transform for detecting ionospheric Total Electron Content (TEC) anomalies prior to the 1999 Chi-Chi earthquake, Taiwan. J. Scient. Explor., 25: 63-75.
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52. Lin, J.W., 2011. Is it possible to trace an impending earthquake's occurrence from seismo-ionospheric disturbance using principal component analysis? A study of Japan's Iwate-Miyagi Nairiku earthquake on 13 June 2008. Comput. Geosci., 37: 855-860.
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53. Lin, J.W., 2010. Two-dimensional ionospheric total electron content map (TEC) seismo-ionospheric anomalies through image processing using principal component analysis. Adv. Space Res., 45: 1301-1310.
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54. Lin, J.W., 2010. Ionospheric Total Electron Content (TEC) anomalies associated with earthquakes through Karhunen-Loeve Transform (KLT). Terrestrial Atmos. Oceanic Sci., 21: 253-265.
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