Can Wang

73 papers receiving 1.9k citations

Hit Papers

The non-plane initiation and propagation mechanism of multiple hydraulic fractures in tight reservoirs considering stress shadow effects 2023 · 76 citations
762010202620152020100200300400

Peers

Can Wang
Comparison fields: 5 of 128
  • Computational Mathematics 24
  • Computer Vision and Pattern Recognition 605
  • Media Technology 128
  • Artificial Intelligence 412
  • Computational Mechanics 221
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Citations per field
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Citations per year

Countries citing papers authored by Can Wang

Since Specialization
Citations

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

Fields of papers citing papers by Can Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Can 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 Can Wang Line = papers co-authored together Can Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Graph Regularized Sparse Coding for Image Representation
Hit paper breakdown →
2010439
2 2017227
3 2021176
4 2022111
5
The non-plane initiation and propagation mechanism of multiple hydraulic fractures in tight reservoirs considering stress shadow effects
Hit paper breakdown →
202376
6 201870
7 202270
8 201658
9 201656
10 201853
11 201350
12 202143
13 201242
14 201132
15 200923
16 201820
17 202117
18 201117
19 201815
20 202215

About Can Wang

Can Wang is a scholar working on Computational Mathematics, Safety, Risk, Reliability and Quality, Human Factors and Ergonomics, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Geotechnical Engineering and Underground Structures (9 papers), Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (7 papers), Geotechnical Engineering and Analysis (6 papers), Advanced Neural Network Applications (5 papers), Geotechnical Engineering and Soil Stabilization (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Membrane Separation and Gas Transport (4 papers). The work is most often cited by research in Computational Mathematics (24 citations), Computer Vision and Pattern Recognition (605 citations), Media Technology (128 citations), Artificial Intelligence (412 citations) and Computational Mechanics (221 citations). Can Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chun Chen, Jiajun Bu, Lijun Zhang, Deng Cai, Zheng Miao, Guang Qiu, An Deng, Defang Chen, Jian-Ping Mei and Feng Yan. Their work appears in journals such as Computers and Geotechnics, Industrial & Engineering Chemistry Research, Pattern Recognition, IEEE Transactions on Image Processing and International Journal of Oral Science.

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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