Ke Sun

673 total citations
20 papers, 423 citations indexed

About

Ke Sun is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Ke Sun has authored 20 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Statistical and Nonlinear Physics and 5 papers in Information Systems. Recurrent topics in Ke Sun's work include Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (7 papers) and Recommender Systems and Techniques (3 papers). Ke Sun is often cited by papers focused on Advanced Graph Neural Networks (10 papers), Complex Network Analysis Techniques (7 papers) and Recommender Systems and Techniques (3 papers). Ke Sun collaborates with scholars based in China, Australia and Saudi Arabia. Ke Sun's co-authors include Zhanxing Zhu, Zhouchen Lin, Feng Xia, Heng Yang, Tiger H. Tao, Jiarui Liu, Mengwei Liu, Pingping Zhang, Lin Shu and Qiang Chen and has published in prestigious journals such as Nature Communications, IEEE Access and Information Sciences.

In The Last Decade

Ke Sun

18 papers receiving 408 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 Sun China 7 203 114 71 70 60 20 423
Tsung-Yu Hsieh Taiwan 10 174 0.9× 42 0.4× 52 0.7× 122 1.7× 14 0.2× 25 400
Bernhard Schoelkopf Germany 11 237 1.2× 30 0.3× 19 0.3× 147 2.1× 21 0.3× 19 483
Dušan Húsek Czechia 10 108 0.5× 41 0.4× 30 0.4× 118 1.7× 15 0.3× 40 295
Janardan Misra India 6 293 1.4× 33 0.3× 314 4.4× 87 1.2× 59 1.0× 26 585
Viet-Khoa Vo-Ho Vietnam 11 209 1.0× 46 0.4× 185 2.6× 123 1.8× 8 0.1× 29 528
Dotan Di Castro Israel 10 138 0.7× 22 0.2× 191 2.7× 46 0.7× 49 0.8× 27 404
Sumit Soman India 11 108 0.5× 33 0.3× 64 0.9× 120 1.7× 21 0.3× 38 349
Siyang Liu China 12 240 1.2× 23 0.2× 151 2.1× 17 0.2× 22 0.4× 36 596
Sergio López Bernal Spain 9 231 1.1× 21 0.2× 93 1.3× 101 1.4× 75 1.3× 29 470

Countries citing papers authored by Ke Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ke Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Sun. A scholar is included among the top collaborators of Ke Sun 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 Sun. Ke Sun 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.
2.
Wang, Xinhua, et al.. (2025). Global and local co-attention networks enhanced by learning state for knowledge tracing. Applied Intelligence. 55(7).
3.
Sun, Ke, et al.. (2024). From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis. IEEE Intelligent Systems. 39(2). 21–29. 3 indexed citations
4.
5.
Yu, Shuo, Yanming Shen, Pengfei Wang, et al.. (2024). Formulating and Representing Multiagent Systems With Hypergraphs. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4599–4613. 2 indexed citations
6.
Zhou, Yu, Huiran Yang, Xueying Wang, et al.. (2023). A mosquito mouthpart-like bionic neural probe. Microsystems & Nanoengineering. 9(1). 88–88. 25 indexed citations
7.
Sun, Ke, Shuo Yu, Ciyuan Peng, et al.. (2022). Abnormal Entity-Aware Knowledge Graph Completion. FedUni ResearchOnline (Federation University Australia). 891–900. 4 indexed citations
8.
Liu, Mengwei, Yujia Zhang, Nan Qin, et al.. (2022). A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments. Nature Communications. 13(1). 79–79. 135 indexed citations
9.
Tian, Shu, et al.. (2022). A Novel Hybrid Attention-Driven Multistream Hierarchical Graph Embedding Network for Remote Sensing Object Detection. Remote Sensing. 14(19). 4951–4951. 4 indexed citations
10.
Qi, Lin, Shuo Yu, Ke Sun, et al.. (2022). Robust Graph Neural Networks via Ensemble Learning. Mathematics. 10(8). 1300–1300. 6 indexed citations
11.
Sun, Ke, Shuo Yu, Ciyuan Peng, et al.. (2022). Relational Structure-Aware Knowledge Graph Representation in Complex Space. Mathematics. 10(11). 1930–1930. 3 indexed citations
12.
Sun, Ke, et al.. (2022). Attributed Graph Force Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 4502–4515. 3 indexed citations
13.
Sun, Ke, et al.. (2022). COVID-19 datasets: A brief overview. Computer Science and Information Systems. 19(3). 1115–1132. 1 indexed citations
14.
Sun, Ke, Lei Wang, Bo Xu, et al.. (2020). Network Representation Learning: From Traditional Feature Learning to Deep Learning. IEEE Access. 8. 205600–205617. 23 indexed citations
15.
Sun, Ke, Zhouchen Lin, & Zhanxing Zhu. (2020). Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 5892–5899. 144 indexed citations
16.
Sun, Ke, Zhanxing Zhu, & Zhouchen Lin. (2019). Multi-Stage Self-Supervised Learning for Graph Convolutional Networks.. arXiv (Cornell University). 9 indexed citations
17.
Wan, Liangtian, et al.. (2019). Task-Driven Resource Assignment in Mobile Edge Computing Exploiting Evolutionary Computation. IEEE Wireless Communications. 26(6). 94–101. 49 indexed citations
18.
Chen, Yujun, et al.. (2019). GraPASA: Parametric graph embedding via siamese architecture. Information Sciences. 512. 1442–1457. 8 indexed citations
19.
Niu, Dongxiao, et al.. (2017). Power Grid Development Level Evaluation Based on Adaptive Neural-fuzzy Inference System. Procedia Engineering. 174. 850–857. 1 indexed citations
20.
Sun, Ke, Éric Bruno, & Stéphane Marchand‐Maillet. (2012). Stochastic unfolding. 290. 1–6. 1 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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