Lu Pang

948 citations
12 papers · 600 · 1 hit paper · h-index 5

Impact in

    • Video Surveillance and Tracking Methods
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Face recognition and analysis
    • Vehicle License Plate Recognition

Papers in

Lu Pang

10 papers receiving 589 citations

Lu Pang's Hit Papers

Deep Relative Distance Learning: Tell the Difference between Similar Vehicles 2016 · 522 citations
5220+3+6Years since publication100200300400500

Peers

Lu Pang
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 533
  • Media Technology 140
  • Automotive Engineering 92
  • Artificial Intelligence 95
  • Health Informatics 2
Replace Ratnesh Kumar with:
Ratnesh Kumar India
Abrar Ahmed Pakistan
Adnan Ahmed Rafique Pakistan
Chunluan Zhou China
Jianyu Chen China
Tianrui Hui China
Yifan Yang China
Johann Edelbrunner Germany
Dennis Nienhüser Germany
Lu Pang relative to Ratnesh Kumar India Ratnesh Kumar's profile →
Citations per field
00.5×10×20×30×39×
Ratnesh Kumar · 1×
Citations per year

Countries citing papers authored by Lu Pang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Lu Pang, 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 Pang Line = papers co-authored together Lu Pang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Deep Relative Distance Learning: Tell the Difference between Similar Vehicles
Hit paper breakdown →
2016522
2 201843
3 202318
4 20195
5 20244
6 20222
7 20232
8 20232
9 20241
10 20131
11 20220
12 20260

About Lu Pang

Lu Pang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 600 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (4 papers), Parallel Computing and Optimization Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers), Caching and Content Delivery (2 papers), Network Security and Intrusion Detection (1 paper), Robotics and Sensor-Based Localization (1 paper), Advanced Neural Network Applications (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (533 citations), Media Technology (140 citations), Automotive Engineering (92 citations), Artificial Intelligence (95 citations) and Health Informatics (2 citations). Lu Pang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yaowei Wang, Tiejun Huang, Yonghong Tian, Hongye Liu, Yi-Zhe Song, Weimin Lyu, Haibin Ling, Chao Chen, Krishna Kant and Jeremy Swift. Their work appears in journals such as Clinical and Experimental Rheumatology, Performance Evaluation, International Dental Journal, Measurement Science and Technology and Applied Mechanics and Materials.

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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