Wei-Lwun Lu

717 citations
11 papers · 495 · h-index 9

Impact in

    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Video Analysis and Summarization
    • Advanced Vision and Imaging
  • Geology top 10%
    • 3D Surveying and Cultural Heritage

Papers in

Wei-Lwun Lu

9 papers receiving 456 citations

Peers

Wei-Lwun Lu
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 379
  • Geology 46
  • Human-Computer Interaction 34
  • Artificial Intelligence 163
  • Environmental Engineering 65
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Zongmin Li China
Visesh Chari India
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Citations per field
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Citations per year

Countries citing papers authored by Wei-Lwun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Lwun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Wei-Lwun Lu, 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 Wei-Lwun Lu Line = papers co-authored together Wei-Lwun Lu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2013148
2 200885
3 200683
4 200957
5 201147
6 200440
7
Tracking and Recognizing Actions at a Distance
200617
8 200810
9 20158
10 20240
11
Digital terrain models: An overview of DTM generation and interpolation issues
20010

About Wei-Lwun Lu

Wei-Lwun Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Geology, Ecology and Environmental Engineering, having authored 11 papers that have together received 495 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers), Video Analysis and Summarization (3 papers), 3D Surveying and Cultural Heritage (3 papers), Remote Sensing and LiDAR Applications (2 papers), Remote Sensing in Agriculture (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (379 citations), Geology (46 citations), Human-Computer Interaction (34 citations), Artificial Intelligence (163 citations) and Environmental Engineering (65 citations). Wei-Lwun Lu has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include James J. Little, Kevin Murphy, Kenji Okuma, Yuanzheng Paul Tan, Hongbo Fu, Alla Sheffer, Jo-Anne Ting, Kevin P. Murphy, Eugene Agichtein and Denis Savenkov. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Pattern Analysis and Machine Intelligence and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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