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Dive into the research topics where Ju Jing is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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High Resolution Observations and Studies of Solar Eruptions Using the 1.6-meter Telescope in Big Bear
Cao, W. (PI), Wang, H. (CoPI), Yurchyshyn, V. (CoPI), Jing, J. (CoPI) & Inoue, S. (CoPI)
6/1/23 → 5/31/28
Project: Research project
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SHINE: Prediction of Coronal Mass Ejections and Interplanetary Magnetic Fields Using Advanced Artificial Intelligence Techniques
Yurchyshyn, V. (PI), Wang, J. (CoPI), Jing, J. (CoPI) & Ma, Y. (CoPI)
6/1/23 → 5/31/26
Project: Research project
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Collaborative Research: ANSWERS: Prediction of Geoeffective Solar Eruptions, Geomagnetic Indices, and Thermospheric Density Using Machine Learning Methods
Jing, J. (PI), Wang, J. (CoPI) & Wang, H. (CoPI)
5/1/22 → 4/30/26
Project: Research project
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Using Scaling Laws to Constrain Magneto-Thermal Coupling in Active Regions of the Sun with Multi-wavelength Microwave Imaging
Fleishman, G. (PI), Gary, D. (CoPI), Nita, G. (CoPI) & Jing, J. (CoPI)
9/1/22 → 8/31/25
Project: Research project
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Collaborative Research: Dynamic and Non-Force-Free Properties of Solar Active Regions and Subsequent Initiation of Flares
Wang, H. (PI) & Jing, J. (CoPI)
4/1/20 → 3/31/24
Project: Research project
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A Data-constrained Magnetohydrodynamic Simulation of Successive X-class Flares in Solar Active Region 13842. I. Dynamics of the Solar Eruption Associated with the X7.1 Solar Flare
Matsumoto, K., Inoue, S., Liu, N., Hayashi, K., Jing, J. & Wang, H., May 20 2025, In: Astrophysical Journal. 985, 1, 20.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model
Zhang, H., Jing, J., Wang, J. T. L., Wang, H., Abduallah, Y., Xu, Y., Alobaid, K. A., Farooki, H. & Yurchyshyn, V., Mar 1 2025, In: Astrophysical Journal. 981, 1, 37.Research output: Contribution to journal › Article › peer-review
Open Access -
Solar Flares Triggered by a Filament Peeling Process Revealed by High-resolution GST Hα Observations
Mancuso, M., Jing, J., Wang, H. & Cao, W., Feb 10 2025, In: Astrophysical Journal Letters. 980, 1, L4.Research output: Contribution to journal › Article › peer-review
Open Access -
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification
Abduallah, Y., Wang, J. T. L., Wang, H. & Jing, J., Aug 2024, In: Journal of Intelligent Information Systems. 62, 4, p. 887-903 17 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Magnetic Eruption from a Three-ribbon Flare
Jing, J., Lee, J., Mancuso, M., Li, Q., Liu, N., Inoue, S., Xu, Y. & Wang, H., Sep 1 2024, In: Astrophysical Journal. 972, 1, 110.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations
Press/Media
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Studies from New Jersey Institute of Technology in the Area of Information Technology Published (A Data-constrained Magnetohydrodynamic Simulation of Successive X-class Flares in Solar Active Region 13842. I. Dynamics of the Solar Eruption ...)
Jing, J., Wang, H. & Inoue, S.
5/26/25
1 item of Media coverage
Press/Media: Press / Media
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New Information and Data Products Study Results from New Jersey Institute of Technology Described (Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model)
Jing, J., Xu, Y. & Yurchyshyn, V.
3/12/25
1 item of Media coverage
Press/Media: Press / Media
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Data from New Jersey Institute of Technology Provide New Insights into Electronics (Magnetic Eruption from a Three-ribbon Flare)
Jing, J., Xu, Y., Inoue, S. & Lee, J.
9/10/24
1 item of Media coverage
Press/Media: Press / Media
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US Patent Issued to New Jersey Institute of Technology, Beijing Wodong Tianjun Information Technology, Institute of Software, Chinese Academy of Sciences on April 30 for "Systems and methods for establishing consensus in distributed communications" (Chine
5/1/24
1 item of Media coverage
Press/Media: Press / Media
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Investigators from New Jersey Institute of Technology Have Reported New Data on Machine Learning (Prediction of the Sym-h Index Using a Bayesian Deep Learning Method With Uncertainty Quantification)
3/12/24
1 item of Media coverage
Press/Media: Press / Media