Projects per year
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Collaborations and top research areas from the last five years
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Collaborative Research: Understanding Flare Heating in the Chromosphere by High-Resolution Observations and Modeling
Xu, Y. (PI) & Vanessapolito@lmcocom, V. P. (CoPI)
9/1/25 → 8/31/28
Project: Research project
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Collaborative Research: Understanding Flare Heating in the Chromosphere by High-Resolution Observations and Modeling
Xu, Y. (PI) & Vanessapolito@lmcocom, V. P. (CoPI)
9/1/25 → 8/31/28
Project: Research project
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CAIG: AI-Driven Generation of Vector Magnetograms in the Chromosphere and Photosphere with Application to Explainable Solar Eruption Predictions
Xu, Y. (PI) & Wangj@njitedu, J. W. (CoPI)
9/15/24 → 8/31/27
Project: Research project
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CAIG: AI-Driven Generation of Vector Magnetograms in the Chromosphere and Photosphere with Application to Explainable Solar Eruption Predictions
Xu, Y. (PI) & Wangj@njitedu, J. W. (CoPI)
9/15/24 → 8/31/27
Project: Research project
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SHINE: Exploring the Initiations of Solar Flares using Deep Learning Methods
Xu, Y. (PI) & Wangj@njitedu, J. W. (CoPI)
9/1/22 → 8/31/27
Project: Research project
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Daily Predictions of F10.7 and F30 Solar Indices With Deep Learning
Wang, Z., Abduallah, Y., Wang, J. T. L., Wang, H., Xu, Y., Yurchyshyn, V., Oria, V., Alobaid, K. A. & Bai, X., Feb 2026, In: Journal of Geophysical Research: Space Physics. 131, 2, e2025JA034868.Research output: Contribution to journal › Article › peer-review
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Deep Learning-Enabled Prediction of Geoeffective CMEs Using SOHO and SDO Observations
Yan, Z., Wang, J. T. L., Wang, H., Lee, H., Jing, J., Xu, Y., Xu, C. & Yurchyshyn, V., May 2026, In: Solar Physics. 301, 5, 73.Research output: Contribution to journal › Article › peer-review
Open Access -
Predicting Associations between Solar Flares and Coronal Mass Ejections Using SDO/HMI Magnetograms and a Hybrid Neural Network
Li, J., Yurchyshyn, V., Wang, J. T. L., Wang, H., Georgoulis, M. K., He, W., Abduallah, Y., Farooki, H. A. & Xu, Y., Feb 20 2026, In: Astrophysical Journal. 998, 2, 340.Research output: Contribution to journal › Article › peer-review
Open Access -
Prediction of Solar Flares Using Photospheric Magnetic Field Parameters with Deep Learning
Chaudhary, Y., Wang, J. T. L., Xu, C., Xu, Y. & Zhang, S., 2026, In: Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS. 39, 1Research output: Contribution to journal › Conference article › peer-review
Open Access -
Study of the Orientation of Erupting Magnetic Flux Ropes in Coronal Mass Ejections from the Solar Corona to 1 au
Wang, Y., Chen, Y., Zhuang, B., Xu, Y., Gou, T., Liu, N. & Wang, H., Feb 1 2026, In: Astrophysical Journal. 997, 2, 359.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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New Jersey Institute of Technology Researchers Release New Study Findings on Networks (Predicting Associations between Solar Flares and Coronal Mass Ejections Using SDO/HMI Magnetograms and a Hybrid Neural Network)
Wang, H., Xu, Y. & Yurchyshyn, V.
3/6/26
1 item of Media coverage
Press/Media: Press / Media
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Researchers from New Jersey Institute of Technology Report Recent Findings in Electronics (Study of the Orientation of Erupting Magnetic Flux Ropes in Coronal Mass Ejections from the Solar Corona to 1 au)
2/16/26
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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Earth and space weather energy sector impacts set to be better understood
10/3/24
2 items of Media coverage
Press/Media: Press / Media
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NJIT secures NSF grant to develop AI-driven solar eruption forecasting system
9/25/24
1 item of Media coverage
Press/Media: Press / Media