Yuming Fang

10.6k citations
272 papers · 7.6k indexed · 3 hit papers · h-index 45
Topics
Image and Video Quality Assessment (129 papers)Visual Attention and Saliency Detection (88 papers)Advanced Image Fusion Techniques (64 papers)
Partner nations
ChinaSingaporeHong Kong

In The Last Decade

Yuming Fang

250 papers receiving 7.5k citations

Hit Papers

From Fidelity to Perceptual Quality: A Semi...2014202620182022202020142020100200300

Peers

Yuming Fang
Comparison fields: 5 of 130
  • Computer Vision and Pattern Recognition 6.9k
  • Media Technology 2.7k
  • Artificial Intelligence 512
  • Sensory Systems 393
  • Cognitive Neuroscience 383
Replace Shai Avidan with:
Shai Avidan Israel
Yuchao Dai China
Xiaohui Shen United States
Yu‐Wing Tai China
Lijun Wang China
Shengfeng He China
Chenglong Li China
Qingxiong Yang Hong Kong
King Ngi Ngan Hong Kong
Yuming Fang relative to Shai Avidan Israel Shai Avidan's profile →
Citations per field
00.5×
Shai Avidan · 1×
Citations per year

Countries citing papers authored by Yuming Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yuming Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuming Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuming Fang. A scholar is included among the top collaborators of Yuming Fang 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 Yuming Fang. Yuming Fang 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 1
2 1
3 0
4 0
5 1
6 2
7 1
8 1
9 6
10 9
11 10
12 0
13 12
14 0
15 129
16
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Imagesbreakdown →
231
17 19
18 57
19 59
20 17

About Yuming Fang

Yuming Fang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Sensory Systems, having authored 272 papers that have together received 7.6k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (129 papers), Visual Attention and Saliency Detection (88 papers) and Advanced Image Fusion Techniques (64 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.9k citations), Media Technology (2.7k citations) and Sensory Systems (393 citations). Yuming Fang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Weisi Lin, Shiqi Wang, Zhou Wang, Jiaying Liu, Zhijun Fang, Chia‐Wen Lin, Kede Ma, Wenhan Yang, Qiaohong Li and Leida Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Brain Research and IEEE Transactions on Industrial Electronics.

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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