Qiang Zhai

789 citations
13 papers · 477 indexed · 2 hit papers · h-index 6
Topics
Advanced Image and Video Retrieval Techniques (5 papers)Visual Attention and Saliency Detection (3 papers)Image Enhancement Techniques (3 papers)

In The Last Decade

Qiang Zhai

10 papers receiving 471 citations

Hit Papers

Mutual Graph Learning for Camouflaged Object Detection20212026202220242021202150100150200

Peers

Qiang Zhai
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 426
  • Sensory Systems 54
  • Aerospace Engineering 54
  • Artificial Intelligence 45
  • Media Technology 34
Replace Yunqiu Lv with:
Yunqiu Lv China
Yanjiao Shi China
Fushuo Huo China
David Tsai United States
Yunzhi Zhuge China
Mingcan Ma China
Tengpeng Li China
Qi Jia China
Qiang Zhai relative to Yunqiu Lv China Yunqiu Lv's profile →
Citations per field
00.5×1.5×
Yunqiu Lv · 1×
Citations per year

Countries citing papers authored by Qiang Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Zhai

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 8
5 11
6 33
7 6
8
Mutual Graph Learning for Camouflaged Object Detectionbreakdown →
213
9
Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detectionbreakdown →
195
10 1
11 5
12 3
13 2

About Qiang Zhai

Qiang Zhai is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Safety, Risk, Reliability and Quality, having authored 13 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Visual Attention and Saliency Detection (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (426 citations), Sensory Systems (54 citations) and Media Technology (34 citations). Qiang Zhai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hong Cheng, Fan Yang, Deng-Ping Fan, Xin Li, Chenglizhao Chen, Rui Huang, Xin Li, Ao Luo, Zicheng Liu and Zhicheng Jiao. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition 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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