Yiping Ke

3.3k citations
67 papers · 2.0k indexed · h-index 24
Topics
Data Mining Algorithms and Applications (14 papers)Graph Theory and Algorithms (13 papers)Domain Adaptation and Few-Shot Learning (13 papers)
Partner nations
SingaporeHong KongChina

In The Last Decade

Yiping Ke

65 papers receiving 2.0k citations

Peers

Yiping Ke
Comparison fields: 5 of 96
  • Artificial Intelligence 948
  • Statistical and Nonlinear Physics 719
  • Computer Vision and Pattern Recognition 653
  • Computer Networks and Communications 636
  • Signal Processing 621
Replace Lijun Chang with:
Lijun Chang Australia
Yixiang Fang China
Xin Huang China
Eui-Hong Han United States
H.-P. Kriegel Germany
Yucheng Low United States
Prithviraj Sen United States
Stephen Kelley United States
Andrej Krevl Slovenia
Sibo Wang China
Yiping Ke relative to Lijun Chang Australia Lijun Chang's profile →
Citations per field
00.5×1.5×
Lijun Chang · 1×
Citations per year

Countries citing papers authored by Yiping Ke

Since Specialization
Citations

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

Fields of papers citing papers by Yiping Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiping Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Yiping Ke. A scholar is included among the top collaborators of Yiping Ke 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 Yiping Ke. Yiping Ke 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
#WorkIndexed citations
1 1
2 0
3 3
4 1
5 2
6 2
7 4
8 19
9 1
10 5
11 3
12
Thinning for Accelerating the Learning of Point Processes
1
13 8
14
A Fast Algorithm for Matrix Eigen-decompositionn.
2
15 7
16
Deep nonlinear feature coding for unsupervised domain adaptation
33
17 51
18 21
19 100
20
Stock risk mining by news
1

About Yiping Ke

Yiping Ke is a scholar working on Computational Mathematics, Signal Processing and Statistical and Nonlinear Physics, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (14 papers), Graph Theory and Algorithms (13 papers) and Domain Adaptation and Few-Shot Learning (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (719 citations), Signal Processing (621 citations) and Computer Vision and Pattern Recognition (653 citations). Yiping Ke has collaborated with scholars based in Singapore, Hong Kong and China. Frequent co-authors include James Cheng, Wilfred Ng, Shumo Chu, Jeffrey Xu Yu, Linhong Zhu, Huanhuan Wu, Yi Wang, Hong Cheng, Pengfei Wei and Lu An. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Molecular Biology of the Cell and IEEE Transactions on Medical Imaging.

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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