Yuan-Fang Wang

4.3k citations
100 papers · 2.3k indexed · 1 hit paper · h-index 24

Yuan-Fang Wang

91 papers receiving 2.2k citations

Hit Papers

Reinforced Cross-Modal Matching and Self-Supervised Imita...3062019202620212023100200300

Peers

Yuan-Fang Wang
Comparison fields: 5 of 163
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 732
  • Signal Processing 220
  • Computer Graphics and Computer-Aided Design 57
  • Water Science and Technology 155
Replace Mohamed A. Ismail with:
Mohamed A. Ismail Egypt
Jie Li China
Mingjing Li China
Chengjie Wang China
Meng Li China
Jingjing Chen China
Vishal Jain India
Siqi Ma China
Mehdi Gheisari China
Yuan-Fang Wang relative to Mohamed A. Ismail Egypt Mohamed A. Ismail's profile →
Citations per field
00.5×5.7×
Mohamed A. Ismail · 1×
Citations per year

Countries citing papers authored by Yuan-Fang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-Fang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yuan-Fang Wang, 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 Yuan-Fang Wang Line = papers co-authored together Yuan-Fang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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11 202329
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15 202016
16
S3D: Single Shot multi-Span Detector via Fully 3D Convolutional Networks
20182
17
[Pathogen Characteristics of Catheter-related Bloodstream Infection].
20151
18
Photo- and Video-Based Ranging and Modeling
20141
19
Protective mechanism of sinomenine on hepatic injury induced by ischemia/reperfusion in rats.
20101
20
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
20044

About Yuan-Fang Wang

Yuan-Fang Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Virology, having authored 100 papers that have together received 2.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (11 papers), Advanced Image and Video Retrieval Techniques (11 papers), Anomaly Detection Techniques and Applications (10 papers), Human Pose and Action Recognition (9 papers), Image Enhancement Techniques (9 papers), Computer Graphics and Visualization Techniques (5 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (732 citations) and Signal Processing (220 citations). Yuan-Fang Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Edward Yi Chang, Xin Wang, Ankur Jain, Da Zhang, William Yang Wang, Long Jiao, Xiyang Dai, Larry S. Davis, Dinghan Shen and Aslı Çelikyılmaz. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

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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