Fangshi Wang

498 citations
15 papers · 332 · h-index 8

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Robotic Path Planning Algorithms
    • Human Pose and Action Recognition
    • Advanced Vision and Imaging
  • Geology top 10%
    • 3D Surveying and Cultural Heritage

Papers in

Fangshi Wang

14 papers receiving 324 citations

Peers

Fangshi Wang
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 260
  • Geology 43
  • Aerospace Engineering 184
  • Human-Computer Interaction 20
  • Artificial Intelligence 72
Replace Ricardo Vázquez-Martín with:
Ricardo Vázquez-Martín Spain
Davide Migliore Italy
Sourav Garg Australia
Federico Pernici Italy
Pantelis Elinas Canada
Han-Pang Chiu United States
Sisi You China
Rolf Lakaemper United States
Ondřej Mikšík United Kingdom
Patrick Sayd France
Fangshi Wang relative to Ricardo Vázquez-Martín Spain Ricardo Vázquez-Martín's profile →
Citations per field
00.5×1.5×2.4×
Ricardo Vázquez-Martín · 1×
Citations per year

Countries citing papers authored by Fangshi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fangshi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020103
2 2020101
3 202052
4 201523
5 201515
6 202012
7 20159
8 20057
9 20084
10 20222
11
A Video Segmentation Algorithm Based on Object Tracing
20051
12 20091
13 20061
14 20221
15 20230

About Fangshi Wang

Fangshi Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 15 papers that have together received 332 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Robotics and Sensor-Based Localization (4 papers), Human Pose and Action Recognition (4 papers), Robotics and Automated Systems (3 papers), Modular Robots and Swarm Intelligence (3 papers), Video Analysis and Summarization (3 papers), Video Surveillance and Tracking Methods (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Geology (43 citations), Aerospace Engineering (184 citations), Human-Computer Interaction (20 citations) and Artificial Intelligence (72 citations). Fangshi Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Fei Qiao, Xuesong Shi, Wei Yang, Dongjiang Li, Weiming Hu, Chunfeng Yuan, Shenghui Liu, Qi Wei, Hui Zhang and Bing Li. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision, IEEE Transactions on Multimedia, Pattern Recognition and Journal of Computer Research and Development.

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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