Lu Fang

4.7k citations
188 papers · 2.4k indexed · h-index 26

Impact in

Papers in

Lu Fang

174 papers receiving 2.4k citations

Peers

Lu Fang
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 1.6k
  • Computer Graphics and Computer-Aided Design 164
  • Media Technology 358
  • Geology 102
  • Signal Processing 151
Replace Daniel Pizarro with:
Daniel Pizarro Spain
Prem Kalra India
Le Kang China
Xu Wang China
Liang Zhang China
Xin Yu China
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Xin Yang China
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Ralph R. Martin United Kingdom
Lu Fang relative to Daniel Pizarro Spain Daniel Pizarro's profile →
Citations per field
00.5×7.6×
Daniel Pizarro · 1×
Citations per year

Countries citing papers authored by Lu Fang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lu Fang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lu Fang Line = papers co-authored together Lu Fang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20249
4 20241
5 20241
6 20233
7 20221
8 202219
9 20223
10 202214
11 20217
12 20207
13 201936
14 201952
15 201939
16 2018103
17 201822
18 20164
19
Sub-pixel Down-sampling of Video with Matching Highly Data Re-use Hardware Architecture
20100
20
Image cartoon-texture decomposition using Mumford-Shah model and G-space
20084

About Lu Fang

Lu Fang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Aerospace Engineering and Signal Processing, having authored 188 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (49 papers), Advanced Image Processing Techniques (34 papers), Image and Signal Denoising Methods (26 papers), Image Enhancement Techniques (23 papers), Computer Graphics and Visualization Techniques (15 papers), Robotics and Sensor-Based Localization (15 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Image Processing Techniques and Applications (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (164 citations), Media Technology (358 citations), Geology (102 citations) and Signal Processing (151 citations). Lu Fang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Oscar C. Au, Yebin Liu, Lan Xu, Lei Han, De-Xing Kong, Zhiyi Peng, Peijun Hu, Qionghai Dai, Fa Wu and Shengjin Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Visualization and Computer Graphics and IEEE Journal of Selected Topics in Signal Processing.

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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