Qifan Yang

673 citations
12 papers · 489 indexed · 1 hit paper · h-index 7
Topics
Advanced Neural Network Applications (5 papers)Video Surveillance and Tracking Methods (2 papers)Remote Sensing and LiDAR Applications (2 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Qifan Yang

12 papers receiving 472 citations

Hit Papers

Double-Branch Multi-Attention Mechanism Network for Hyper...2019202620212023201950100150200250

Peers

Qifan Yang
Comparison fields: 5 of 78
  • Media Technology 259
  • Atmospheric Science 193
  • Computer Vision and Pattern Recognition 139
  • Industrial and Manufacturing Engineering 83
  • Artificial Intelligence 45
Replace Jie Fang with:
Jie Fang China
Dalal AL-Alimi China
Hongmei Zhu China
Xubing Yang China
Yongwei Xu Japan
Singara Singh Kasana India
M. G. Cortina-Januchs Spain
Hugo Silva Portugal
Qifan Yang relative to Jie Fang China Jie Fang's profile →
Citations per field
00.5×3.8×
Jie Fang · 1×
Citations per year

Countries citing papers authored by Qifan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qifan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qifan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qifan Yang. A scholar is included among the top collaborators of Qifan Yang 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 Qifan Yang. Qifan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 3
3 49
4 1
5 113
6 21
7 3
8 8
9
Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classificationbreakdown →
258
10 18
11 7
12 6

About Qifan Yang

Qifan Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 12 papers that have together received 489 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Media Technology (259 citations), Atmospheric Science (193 citations) and Industrial and Manufacturing Engineering (83 citations). Qifan Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yue Wu, Xiangrong Zhang, Wenping Ma, Wei Zhao, Qiang Zhang, Jinqi Su, Xujuan Zhang, Xueyan Liu, Qiang Bao and Wei Wei. Their work appears in journals such as Waste Management, Resources Conservation and Recycling and Remote Sensing.

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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