Ke Niu

490 total citations
31 papers, 258 citations indexed

About

Ke Niu is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Ke Niu has authored 31 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Science Applications and 8 papers in Information Systems. Recurrent topics in Ke Niu's work include Online Learning and Analytics (9 papers), Recommender Systems and Techniques (6 papers) and Machine Learning in Healthcare (5 papers). Ke Niu is often cited by papers focused on Online Learning and Analytics (9 papers), Recommender Systems and Techniques (6 papers) and Machine Learning in Healthcare (5 papers). Ke Niu collaborates with scholars based in China, Australia and United States. Ke Niu's co-authors include Xueping Peng, Ning Li, Yijie Pan, Xin Gao, Xiangyu Zhao, Hailong Li, Zhendong Niu, Zhongmin Guo, Chongyang Shi and Wei Chen and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Machine Learning.

In The Last Decade

Ke Niu

28 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Niu China 8 79 71 62 45 38 31 258
Opeyemi Lateef Usman Malaysia 7 71 0.9× 130 1.8× 33 0.5× 40 0.9× 16 0.4× 16 304
John Bush Idoko Cyprus 10 48 0.6× 50 0.7× 25 0.4× 41 0.9× 15 0.4× 18 234
Suci Aulia Indonesia 8 69 0.9× 36 0.5× 42 0.7× 42 0.9× 29 0.8× 68 245
Tahani Jaser Alahmadi Saudi Arabia 10 77 1.0× 25 0.4× 34 0.5× 35 0.8× 28 0.7× 55 290
L. B. Krithika India 7 47 0.6× 35 0.5× 44 0.7× 51 1.1× 12 0.3× 22 216
Manqing Dong Australia 8 202 2.6× 83 1.2× 198 3.2× 61 1.4× 5 0.1× 12 373
Doaa Shawky Egypt 9 55 0.7× 74 1.0× 56 0.9× 12 0.3× 22 0.6× 36 227
Namrata Dhanda India 8 41 0.5× 44 0.6× 49 0.8× 28 0.6× 9 0.2× 50 186
Chenhui Wang China 9 77 1.0× 12 0.2× 37 0.6× 72 1.6× 16 0.4× 27 246
Manoj Madhava Gore India 10 71 0.9× 28 0.4× 34 0.5× 14 0.3× 14 0.4× 53 281

Countries citing papers authored by Ke Niu

Since Specialization
Citations

This map shows the geographic impact of Ke Niu'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 Ke Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Niu more than expected).

Fields of papers citing papers by Ke Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke Niu. 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 Ke Niu. The network helps show where Ke Niu may publish in the future.

Co-authorship network of co-authors of Ke Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Niu. A scholar is included among the top collaborators of Ke Niu 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 Ke Niu. Ke Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Niu, Ke, et al.. (2025). FedCGP: Cluster-Based Gradual Personalization for Federated Medical Image Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(6). 3910–3921. 2 indexed citations
2.
3.
Niu, Ke, et al.. (2025). Hybrid Neural Network Model for MOOC Dropout Prediction. 6(1). 88–98.
4.
Niu, Ke, et al.. (2025). Synthesizing efficient data with diffusion models for person re-identification pre-training. Machine Learning. 114(3). 1 indexed citations
5.
Niu, Ke, et al.. (2024). PedFed: A performance evaluation-driven federated learning framework for efficient communication. Advances in Complex Systems. 16(3). 1 indexed citations
6.
7.
Niu, Ke, et al.. (2024). MMP-MSH: Multimodal Mortality Prediction Based on a Multilevel Semantic Hypergraph Network. IEEE Transactions on Computational Social Systems. 12(5). 3637–3646. 1 indexed citations
8.
Niu, Ke, et al.. (2023). PMCT: Parallel Multiscale Convolutional Temporal model for MOOC dropout prediction. Computers & Electrical Engineering. 112. 108989–108989. 4 indexed citations
9.
Li, Heng, Haofeng Liu, Huazhu Fu, et al.. (2023). A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Analysis. 90. 102945–102945. 13 indexed citations
10.
Niu, Ke, et al.. (2023). Intensive Care Unit readmission prediction with correlation enhanced multi-task learning. Computers & Electrical Engineering. 110. 108780–108780. 6 indexed citations
11.
Li, Heng, Ke Niu, Na Guo, et al.. (2023). Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. IEEE Transactions on Medical Imaging. 43(4). 1323–1336. 6 indexed citations
12.
Niu, Ke, et al.. (2022). Fusion of sequential visits and medical ontology for mortality prediction. Journal of Biomedical Informatics. 127. 104012–104012. 15 indexed citations
13.
Peng, Xueping, Ke Niu, Hailong Li, et al.. (2022). A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy. Frontiers in Neuroinformatics. 16. 771965–771965. 4 indexed citations
14.
Niu, Ke, et al.. (2022). P-ResUnet: Segmentation of brain tissue with Purified Residual Unet. Computers in Biology and Medicine. 151(Pt B). 106294–106294. 24 indexed citations
15.
Niu, Ke, et al.. (2022). Multi-modal Intermediate Fusion Model for diagnosis prediction. 38–43. 3 indexed citations
16.
17.
Niu, Ke, et al.. (2017). Using CV-CRITIC to Determine Weights for Smart City Evaluation. 996–1000. 6 indexed citations
18.
Niu, Ke, Zhendong Niu, Xiangyu Zhao, et al.. (2016). A Coupled User Clustering Algorithm for Web-Based Learning Systems.. Griffith Research Online (Griffith University, Queensland, Australia). 175–182. 2 indexed citations
19.
Zhao, Xiangyu, et al.. (2014). A hybrid approach of topic model and matrix factorization based on two-step recommendation framework. Journal of Intelligent Information Systems. 44(3). 335–353. 36 indexed citations
20.
Niu, Ke, et al.. (2011). A user evaluation framework for web-based learning systems. 25–30. 2 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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