斌 刘

674 citations
50 papers · 522 · h-index 8

Impact in

Papers in

    • Domain Adaptation and Few-Shot Learning 4
    • Anomaly Detection Techniques and Applications 2
    • Video Surveillance and Tracking Methods 3
    • Face and Expression Recognition 2
    • Advanced Neural Network Applications 2
    • Multimodal Machine Learning Applications 2

斌 刘

28 papers receiving 507 citations

Peers

斌 刘
Comparison fields: 5 of 79
  • Electronic, Optical and Magnetic Materials 250
  • Renewable Energy, Sustainability and the Environment 101
  • Electrical and Electronic Engineering 275
  • Software 18
  • Polymers and Plastics 58
Replace Hui Kang with:
Hui Kang China
Muhammad Shoaib Akhtar China
Jingwei Yi China
Anubha Jain India
Li Tang China
V. Anbarasu India
Boyang Li China
Boying Zhang China
M. Gayathri India
斌 刘 relative to Hui Kang China Hui Kang's profile →
Citations per field
00.5×3.5×
Hui Kang · 1×
Citations per year

Countries citing papers authored by 斌 刘

Since Specialization
Citations

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

Fields of papers citing papers by 斌 刘

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012328
2 201936
3 202035
4 202123
5 201617
6 202015
7 20158
8 20217
9 20247
10 20066
11 19995
12 20254
13 20233
14 20223
15 20102
16 20212
17 20242
18 20082
19 20211
20 20251

About 斌 刘

斌 刘 is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science and Signal Processing, having authored 50 papers that have together received 522 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Video Surveillance and Tracking Methods (3 papers), Service-Oriented Architecture and Web Services (2 papers), Anomaly Detection Techniques and Applications (2 papers), Face and Expression Recognition (2 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (250 citations), Renewable Energy, Sustainability and the Environment (101 citations), Electrical and Electronic Engineering (275 citations), Software (18 citations) and Polymers and Plastics (58 citations) 斌 刘 has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Sihan Ran, Di Chen, Xianfu Wang, Qiufan Wang, Liming Wang, Guozhen Shen, Rui Zhao, Dapeng Chen, Nenghai Yu and Brian Uzzi. Their work appears in journals such as Chinese Science Bulletin (Chinese Version), Expert Systems with Applications, Neurocomputing, Journal of Biophotonics and IEEE Transactions on Knowledge and Data Engineering.

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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