Ke Wang

2.0k citations
114 papers · 1.4k · h-index 19

Impact in

Papers in

Ke Wang

101 papers receiving 1.3k citations

Peers

Ke Wang
Comparison fields: 5 of 124
  • Signal Processing 307
  • Geography, Planning and Development 74
  • Information Systems 269
  • Computer Vision and Pattern Recognition 191
  • Modeling and Simulation 40
Replace Alp Kut with:
Alp Kut Türkiye
Pınar Çivicioğlu Türkiye
Erkan Beşdok Türkiye
Sanjeev Kumar India
Harald Piringer Austria
Jaroslav Frnda Slovakia
Xiaodong Zhang China
Yu Cui China
R. S. Ramakrishna South Korea
Ke Wang relative to Alp Kut Türkiye Alp Kut's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ke Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ke Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ke Wang Line = papers co-authored together Ke Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002122
2 201795
3 202093
4 201586
5 201382
6 201278
7 201367
8 200462
9 201544
10 201337
11 201931
12 201128
13 201126
14 201224
15 201424
16 202123
17 200723
18 202122
19 201918
20 199817

About Ke Wang

Ke Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Aerospace Engineering and Information Systems, having authored 114 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Image and Signal Denoising Methods (7 papers), Data Management and Algorithms (7 papers), Direction-of-Arrival Estimation Techniques (6 papers), Advanced Data Compression Techniques (6 papers), Radar Systems and Signal Processing (6 papers), Data Mining Algorithms and Applications (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Signal Processing (307 citations), Geography, Planning and Development (74 citations), Information Systems (269 citations), Computer Vision and Pattern Recognition (191 citations) and Modeling and Simulation (40 citations). Ke Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Meng Liu, Junqiang Liu, Raymond Chi-Wing Wong, Yunhe Pan, Jiawei Han, Ada Wai-Chee Fu, Fangqing Wen, Jiangyu Wu, Qian Yin and Hongwen Jing. Their work appears in journals such as IEEE Access, Energy, Knowledge and Information Systems, IEEE Transactions on Dielectrics and Electrical Insulation and Neurocomputing.

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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