X. Kang
Impact in
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- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
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- Electromagnetic wave absorption materials
Papers in
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- Advanced Image and Video Retrieval Techniques 9
- Video Surveillance and Tracking Methods 9
- Image Retrieval and Classification Techniques 3
- Video Analysis and Summarization 3
- Multimodal Machine Learning Applications 2
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- Advanced Computing and Algorithms 2
- Co-authors
- Xiushan Nie (11 shared papers)Xingbo Liu (11 shared papers)Yilong Yin (9 shared papers)Rujie He (2 shared papers)Yixing Huang (2 shared papers)Tian Zhao (2 shared papers)Li Xi (1 shared paper)Ying Li (1 shared paper)
In The Last Decade
X. Kang
15 papers receiving 93 citations
Peers
Comparison fields: 5 of 23
- Computer Vision and Pattern Recognition 47
- Electronic, Optical and Magnetic Materials 24
- Urban Studies 3
- Signal Processing 4
- Artificial Intelligence 11
Countries citing papers authored by X. Kang
This map shows the geographic impact of X. Kang'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 X. Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Kang more than expected).
Fields of papers citing papers by X. Kang
This network shows the impact of papers produced by X. Kang. 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 X. Kang. The network helps show where X. Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside X. Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 23 | |
| 2 | 2023 | 15 | |
| 3 | 2025 | 14 | |
| 4 | 2023 | 12 | |
| 5 | 2021 | 7 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2020 | 0 | |
| 19 | 2019 | 0 | |
| 20 | 2024 | 0 |
About X. Kang
X. Kang is a scholar working on Computer Vision and Pattern Recognition, Urban Studies, Automotive Engineering, Artificial Intelligence and Nuclear and High Energy Physics, having authored 21 papers that have together received 93 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (9 papers), Image Retrieval and Classification Techniques (3 papers), Video Analysis and Summarization (3 papers), Advanced Computing and Algorithms (2 papers), Multimodal Machine Learning Applications (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers) and Particle physics theoretical and experimental studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (47 citations), Electronic, Optical and Magnetic Materials (24 citations), Urban Studies (3 citations), Signal Processing (4 citations) and Artificial Intelligence (11 citations). X. Kang has collaborated with scholars based in China, Italy and Sweden. Frequent co-authors include Xiushan Nie, Xingbo Liu, Yilong Yin, Rujie He, Yixing Huang, Tian Zhao, Li Xi, Ying Li, Ying Li and Hao Huang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, ACS Catalysis, Pattern Recognition, Composite Structures and Pattern Recognition Letters.
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.