Lina Wei

813 citations
17 papers · 544 indexed · 1 hit paper · h-index 6
Topics
Visual Attention and Saliency Detection (6 papers)Image and Video Quality Assessment (4 papers)Advanced Image and Video Retrieval Techniques (4 papers)

In The Last Decade

Lina Wei

9 papers receiving 540 citations

Hit Papers

DeepSaliency: Multi-Task Deep Neural Network Model for Sa...20162026201920222016100200300

Peers

Lina Wei
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 488
  • Cognitive Neuroscience 105
  • Sensory Systems 85
  • Media Technology 59
  • Artificial Intelligence 47
Replace Fatemeh Sadat Saleh with:
Fatemeh Sadat Saleh Australia
Zijun Deng China
Yupeng Cheng China
Junting Pan China
Justin A. Eichel Canada
J. P. Dai China
Wei-Chih Tu Taiwan
David Tsai United States
Shuhan Chen China
Hae Jong Seo United States
Lina Wei relative to Fatemeh Sadat Saleh Australia Fatemeh Sadat Saleh's profile →
Citations per field
00.5×10×20×30×40×46×
Fatemeh Sadat Saleh · 1×
Citations per year

Countries citing papers authored by Lina Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lina Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Wei

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 0
6 0
7 0
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9 0
10 1
11 14
12 15
13 21
14 33
15 5
16 63
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DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detectionbreakdown →
391

About Lina Wei

Lina Wei is a scholar working on Sensory Systems, Computer Vision and Pattern Recognition and Geology, having authored 17 papers that have together received 544 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (6 papers), Image and Video Quality Assessment (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (488 citations), Sensory Systems (85 citations) and Human-Computer Interaction (40 citations). Lina Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Fei Wu, Xi Li, Yueting Zhuang, Li-Ming Zhao, Haibin Ling, Ming–Hsuan Yang, Jingdong Wang, Omar El Farouk Bourahla, Shanshan Zhao and Xi Li. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

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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