Ce Ju

582 total citations
8 papers, 247 citations indexed

About

Ce Ju is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ce Ju has authored 8 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Ce Ju's work include EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). Ce Ju is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), Neural dynamics and brain function (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). Ce Ju collaborates with scholars based in Singapore, France and Malaysia. Ce Ju's co-authors include Cuntai Guan, Anbu Huang, Dashan Gao, Tianyu Zhang, Qiang Yang, Lixin Fan, Han Yu, Kam Woh Ng, Chee Seng Chan and Yang Liu and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Ce Ju

8 papers receiving 246 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ce Ju Singapore	6	109	83	58	28	23	8	247
Farzana Kulsoom Italy	11	102 0.9×	94 1.1×	47 0.8×	42 1.5×	64 2.8×	25	313
Yogesh Singh Rawat United States	11	173 1.6×	292 3.5×	62 1.1×	20 0.7×	16 0.7×	38	442
Ioan Marius Bilasco France	10	60 0.6×	114 1.4×	55 0.9×	20 0.7×	63 2.7×	23	222
Suci Aulia Indonesia	8	69 0.6×	42 0.5×	36 0.6×	19 0.7×	10 0.4×	68	245
Yifei Xu China	9	187 1.7×	46 0.6×	24 0.4×	57 2.0×	21 0.9×	23	347
Ahmed Fares Egypt	10	39 0.4×	85 1.0×	89 1.5×	46 1.6×	45 2.0×	24	263
Graciela Ramírez-Alonso Mexico	9	80 0.7×	126 1.5×	26 0.4×	17 0.6×	18 0.8×	39	269
Alexandre Ferreira Brazil	9	31 0.3×	46 0.6×	27 0.5×	38 1.4×	40 1.7×	25	236
Alia Karim Abdul Hassan Iraq	9	115 1.1×	101 1.2×	16 0.3×	37 1.3×	4 0.2×	54	272

Countries citing papers authored by Ce Ju

Since Specialization

Citations

This map shows the geographic impact of Ce Ju's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ce Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ce Ju more than expected).

Fields of papers citing papers by Ce Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ce Ju. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ce Ju. The network helps show where Ce Ju may publish in the future.

Co-authorship network of co-authors of Ce Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Ce Ju. A scholar is included among the top collaborators of Ce Ju based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ce Ju. Ce Ju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Ju, Ce & Cuntai Guan. (2025). Deep optimal transport for domain adaptation on SPD manifolds. Artificial Intelligence. 345. 104347–104347. 1 indexed citations

2.

Ju, Ce, Reinmar J. Kobler, & Cuntai Guan. (2023). Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance. PubMed. 2023. 1–7. 3 indexed citations

3.

Ju, Ce & Cuntai Guan. (2023). Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time–Frequency Analysis. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17701–17715. 18 indexed citations

4.

Ju, Ce & Cuntai Guan. (2022). Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 10955–10969. 58 indexed citations

5.

Fan, Lixin, Kam Woh Ng, Ce Ju, Tianyu Zhang, & Chee Seng Chan. (2020). Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. 825–831. 59 indexed citations

6.

Wang, Zheng, Cheng Long, Gao Cong, & Ce Ju. (2019). Effective and Efficient Sports Play Retrieval with Deep Representation Learning. DR-NTU (Nanyang Technological University). 499–509. 29 indexed citations

7.

Gao, Dashan, Yang Liu, Anbu Huang, et al.. (2019). Privacy-preserving Heterogeneous Federated Transfer Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2552–2559. 69 indexed citations

8.

Ju, Ce, Zheng Wang, Cheng Long, Xiaoyu Zhang, & Dong Eui Chang. (2019). Interaction-aware Kalman Neural Networks for Trajectory Prediction. arXiv (Cornell University). 1793–1800. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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