Yincheng Qi

822 citations
45 papers · 558 indexed · h-index 9
Topics
Advanced Neural Network Applications (11 papers)Power Line Inspection Robots (9 papers)Industrial Vision Systems and Defect Detection (6 papers)
Partner nations
ChinaIraqBulgaria

In The Last Decade

Yincheng Qi

41 papers receiving 524 citations

Peers

Yincheng Qi
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 360
  • Mechanical Engineering 195
  • Industrial and Manufacturing Engineering 106
  • Civil and Structural Engineering 104
  • Electrical and Electronic Engineering 101
Replace Arcangelo Distante with:
Arcangelo Distante Italy
Van Nhan Nguyen Norway
Xiaoli Hao China
Young Shik Moon South Korea
Sedat Dogru Portugal
Zhong Yang China
Jie Guo China
Hongwen Dong China
Yincheng Qi relative to Arcangelo Distante Italy Arcangelo Distante's profile →
Citations per field
00.5×3.4×
Arcangelo Distante · 1×
Citations per year

Countries citing papers authored by Yincheng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Yincheng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yincheng Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Yincheng Qi. A scholar is included among the top collaborators of Yincheng Qi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yincheng Qi. Yincheng Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 2
4 0
5 1
6 2
7 1
8 5
9 16
10 7
11 1
12 84
13 3
14 2
15
Design of Power Cable Temperature Measuring System Based on Distributed Raman Optical Fiber Sensors
1
16
Recognition of Chinese Personal Name Based on Conditional Random Fields
1
17 8
18
Research and implementation of MIS message integration between power enterprises based on Web service
1
19
A METHOD OF IDENTIFYING CHAOTIC NATURE BASED ON IMAGE RECOGNITION
5
20 1

About Yincheng Qi

Yincheng Qi is a scholar working on Computer Vision and Pattern Recognition, Energy Engineering and Power Technology and Industrial and Manufacturing Engineering, having authored 45 papers that have together received 558 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), Power Line Inspection Robots (9 papers) and Industrial Vision Systems and Defect Detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (360 citations), Industrial and Manufacturing Engineering (106 citations) and Media Technology (86 citations). Yincheng Qi has collaborated with scholars based in China, Iraq and Bulgaria. Frequent co-authors include Zhenbing Zhao, Ke Zhang, Yinghui Kong, Zhen Zhen, Lei Zhang, Yongjie Zhai, Ning Liu, Tiefeng Zhang, Wenqing Zhao and Lei Zhang. Their work appears in journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

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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