Ke Tu

604 total citations
16 papers, 328 citations indexed

About

Ke Tu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ke Tu has authored 16 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ke Tu's work include Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (5 papers) and Topic Modeling (3 papers). Ke Tu is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (5 papers) and Topic Modeling (3 papers). Ke Tu collaborates with scholars based in China, United States and Canada. Ke Tu's co-authors include Peng Cui, Wenwu Zhu, Xiao Wang, Philip S. Yu, Fei Wang, Jun Zhou, Jian Pei, Jianxin Ma, Daixin Wang and Zhiqiang Zhang and has published in prestigious journals such as Frontiers of Computer Science, Acta Horticulturae and Applied Mechanics and Materials.

In The Last Decade

Ke Tu

14 papers receiving 317 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 Tu China 6 269 151 96 77 42 16 328
Linchuan Xu Hong Kong 11 282 1.0× 160 1.1× 72 0.8× 68 0.9× 54 1.3× 31 384
Yanhong Wu China 5 284 1.1× 135 0.9× 68 0.7× 51 0.7× 27 0.6× 7 351
Zhongfei Mark Zhang United States 7 139 0.5× 59 0.4× 77 0.8× 80 1.0× 14 0.3× 9 229
Chiman Salavati Iran 7 138 0.5× 172 1.1× 26 0.3× 24 0.3× 49 1.2× 7 290
Matthew J. Rattigan United States 8 139 0.5× 162 1.1× 49 0.5× 34 0.4× 24 0.6× 15 262
Tao Dai China 14 379 1.4× 40 0.3× 261 2.7× 47 0.6× 21 0.5× 23 502
Song Bian China 4 119 0.4× 52 0.3× 28 0.3× 75 1.0× 29 0.7× 4 209
Keting Cen China 4 159 0.6× 134 0.9× 27 0.3× 42 0.5× 13 0.3× 8 242
Fréderic Morin Canada 2 384 1.4× 35 0.2× 74 0.8× 81 1.1× 33 0.8× 2 451

Countries citing papers authored by Ke Tu

Since Specialization
Citations

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

Fields of papers citing papers by Ke Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Tu

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

All Works

16 of 16 papers shown
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Tu, Ke, et al.. (2024). DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. 4764–4773. 1 indexed citations
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Tu, Ke, et al.. (2023). Technical Analysis of Highway Bridge Static Load Test. 7(3). 58–63. 3 indexed citations
7.
Wang, Yonghui, Yang Li, & Ke Tu. (2022). Multi-View Convolutional Neural Networks Crowd Counting Model Based on YOLOX. 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP). 1616–1619. 2 indexed citations
8.
Wang, Yonghui, Yang Li, & Ke Tu. (2022). Crowd Counting Model with Convolutional Neural Networks and Transformer. 490–493. 1 indexed citations
9.
Tu, Ke, Peng Cui, Daixin Wang, et al.. (2021). Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. 1834–1843. 34 indexed citations
10.
Xie, Ruobing, Lei Chen, Shukai Liu, et al.. (2020). Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. 2613–2620. 25 indexed citations
11.
Tu, Ke, Jianxin Ma, Peng Cui, Jian Pei, & Wenwu Zhu. (2019). AutoNE. 216–225. 23 indexed citations
12.
Tu, Ke, Peng Cui, Xiao Wang, Philip S. Yu, & Wenwu Zhu. (2018). Deep Recursive Network Embedding with Regular Equivalence. 2357–2366. 125 indexed citations
13.
Tu, Ke, Peng Cui, Xiao Wang, Fei Wang, & Wenwu Zhu. (2018). Structural Deep Embedding for Hyper-Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 99 indexed citations
14.
Tu, Ke, Hongbo Li, & Fuchun Sun. (2015). A statistical learning based image denoising approach. Frontiers of Computer Science. 9(5). 713–719. 1 indexed citations
15.
Guo, Qiang, et al.. (2014). A Kind of Gas Density Monitor System Based on CC2530. Applied Mechanics and Materials. 716-717. 884–887. 1 indexed citations
16.
Tu, Ke, et al.. (2006). MODELING APPLE QUALITY CHANGES BASED ON LASER SCATTERING IMAGE ANALYSIS UNDER SIMULATED SHELF LIFE CONDITIONS. Acta Horticulturae. 371–380. 8 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.

Explore authors with similar magnitude of impact

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2026