X. Kang

2.0k citations
18 papers · 48 · h-index 4

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Video Analysis and Summarization
    • Video Surveillance and Tracking Methods
    • Image Retrieval and Classification Techniques
    • Multimodal Machine Learning Applications
    • Speech and Audio Processing

Papers in

X. Kang

13 papers receiving 48 citations

Peers

X. Kang
Comparison fields: 5 of 15
  • Computer Vision and Pattern Recognition 37
  • Signal Processing 4
  • General Social Sciences 1
  • Artificial Intelligence 8
  • Electronic, Optical and Magnetic Materials 4
Replace A. Marinov with:
A. Marinov Bulgaria
Zhengyuan Zhou China
Mikel Bober-Irizar United Kingdom
Marc Oliu Spain
Fengchun Qiao China
Matt Botvinick United States
Ergys Ristani United States
A. E. Sergeev Russia
Ruixuan Luo China
X. Kang relative to A. Marinov Bulgaria A. Marinov's profile →
Citations per field
00.5×1.5×
A. Marinov · 1×
Citations per year

Countries citing papers authored by X. Kang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

18 of 18 papers shown
#Work
1 202313
2 20238
3 20217
4 20254
5 20223
6 20243
7 20242
8 20202
9 20212
10 20251
11 20241
12 20241
13 20251
14 20250
15 20240
16 20210
17 20190
18 20200

About X. Kang

X. Kang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Urban Studies and Organic Chemistry, having authored 18 papers that have together received 48 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Advanced Image and Video Retrieval Techniques (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 Recycling and Waste Management Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (37 citations), Signal Processing (4 citations), General Social Sciences (1 citation), Artificial Intelligence (8 citations) and Electronic, Optical and Magnetic Materials (4 citations). X. Kang has collaborated with scholars based in China, Italy and Poland. Frequent co-authors include Xiushan Nie, Xingbo Liu, Yilong Yin, Ying Hu, Hao Huang, Zhihua Huang, Rujie He, Yixing Huang, Shaohua Wang and Fasheng Liu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Visual Communication and Image Representation, Composite Structures and Digital Signal Processing.

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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