Solar flare tracking using image processing techniques. - Ming Qu; Frank Y. Shih; Ju Jing; Haimin Wang (ICME, 2004)

Automatic Solar Flare Tracking. - Ming Qu; Frank Y. Shih; Ju Jing; Haimin Wang; David Rees (KES, 2004)

EUV Images Features for Solar Prominence Eruption Detection. - Ju Jing; Haimin Wang; John Jenq (CSC, 2009)

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network. - Hao Liu 025; Yan Xu 014; Jiasheng Wang; Ju Jing; Chang Liu 080; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 025; Jason T. L. Wang; Haimin Wang (CoRR, 2020)

Tracing Halpha Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (CoRR, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning. - Haodi Jiang; Jiasheng Wang; Chang Liu 080; Ju Jing; Hao Liu 054; Jason T. L. Wang; Haimin Wang (Zenodo, 2021)

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. - Haodi Jiang; Qin Li 020; Zhihang Hu; Nian Liu; Yasser Abduallah; Ju Jing; Genwei Zhang; Yan Xu 014; Wynne Hsu; Jason T. L. Wang; Haimin Wang (CoRR, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2022)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Tracing Hα Fibrils through Bayesian Deep Learning. - Haodi Jiang; Ju Jing; Jiasheng Wang; Chang Liu 080; Qin Li 020; Yan Xu 014; Jason T. L. Wang; Haimin Wang (Zenodo, 2023)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobaid; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (CoRR, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. - Yasser Abduallah; Khalid A. Alobail; Jason T. L. Wang; Haimin Wang; Vania K. Jordanova; Vasyl Yurchyshyn; Huseyin Cavus; Ju Jing (Zenodo, 2024)

A transformer-based framework for predicting geomagnetic indices with uncertainty quantification. - Yasser Abduallah; Jason T. L. Wang; Haimin Wang; Ju Jing (J. Intell. Inf. Syst., 2024)

Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning. - Khalid A. Alobaid; Jason T. L. Wang; Haimin Wang; Ju Jing; Yasser Abduallah; Zhenduo Wang; Hameedullah Farooki; Huseyin Cavus; Vasyl Yurchyshyn (CoRR, 2025)

Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model. - Hongyang Zhang; Ju Jing; Jason T. L. Wang; Haimin Wang; Yasser Abduallah; Yan Xu 014; Khalid A. Alobaid; Hameedullah Farooki; Vasyl Yurchyshyn (CoRR, 2025)