Qingfeng Xia

485 citations
37 papers · 287 indexed · h-index 9

Impact in

    • Image Enhancement Techniques
    • Advanced Neural Network Applications
    • Advanced Image Processing Techniques
    • Robotic Path Planning Algorithms
    • Image and Signal Denoising Methods
    • Advanced Image Fusion Techniques

Papers in

Qingfeng Xia

31 papers receiving 271 citations

Peers

Qingfeng Xia
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 115
  • Media Technology 35
  • Industrial and Manufacturing Engineering 24
  • Automotive Engineering 25
  • Ocean Engineering 28
Replace Pei Guo with:
Pei Guo China
Sheng Liu China
Ze Zhang China
Xin Yuan China
Cunbao Ma China
Li Su China
Christophe Debain France
Min Shi China
Shyh‐Kuang Ueng Taiwan
Qingfeng Xia relative to Pei Guo China Pei Guo's profile →
Citations per field
00.5×
Pei Guo · 1×
Citations per year

Countries citing papers authored by Qingfeng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20252
3 20250
4 202426
5 202435
6 20240
7 20241
8 20245
9 20230
10 20238
11 20231
12 20238
13 202289
14 20213
15 20218
16 20192
17 200910
18 199910
19
Intelligent on-line monitoring and control system-a university-industry-government R & D partnership program
19971
20 19931

About Qingfeng Xia

Qingfeng Xia is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence and Automotive Engineering, having authored 37 papers that have together received 287 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (4 papers), Robotic Path Planning Algorithms (4 papers), Additive Manufacturing Materials and Processes (3 papers), Reinforcement Learning in Robotics (3 papers), Adaptive Dynamic Programming Control (3 papers), Video Surveillance and Tracking Methods (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers) and Robotics and Automated Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (115 citations), Media Technology (35 citations), Industrial and Manufacturing Engineering (24 citations), Automotive Engineering (25 citations) and Ocean Engineering (28 citations). Qingfeng Xia has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Kai Hu, Junlan Jin, Shan Zhong, M. Rao, Ning Sun, Min Xia, Xuemin Shen, Dalei Song, Yilun Sun and Yanyun Ying. Their work appears in journals such as Neurocomputing, Journal of the Energy Institute, ISIJ International, Renewable Energy and IEEE Multimedia.

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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