Lei Pang

43 papers receiving 468 citations

Peers

Lei Pang
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 215
  • Condensed Matter Physics 150
  • Electrical and Electronic Engineering 129
  • Artificial Intelligence 94
  • Electronic, Optical and Magnetic Materials 61
Replace Mitsuharu Matsumoto with:
Mitsuharu Matsumoto Japan
Xiaoli Dong China
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Lei Pang relative to Mitsuharu Matsumoto Japan Mitsuharu Matsumoto's profile →
Citations per field
00.5×6.1×
Mitsuharu Matsumoto · 1×
Citations per year

Countries citing papers authored by Lei Pang

Since Specialization
Citations

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

Fields of papers citing papers by Lei Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Pang. A scholar is included among the top collaborators of Lei Pang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Pang. Lei Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 2
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5 13
6 10
7 5
8 9
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VIREO @ TRECVID 2016: Multimedia Event Detection, Ad-hoc Video Search, Video-to-Text Description
2
10 6
11 118
12 10
13
VIREO-TNO @ TRECVID 2014: Multimedia Event Detection and Recounting (MED and MER)
2
14 48
15
FashionAsk: A Multimedia based Question-Answering System
1
16
VIREO@TRECVID 2012: Searching with Topology, Recounting will Small Concepts, Learning with Free Examples
4
17
Sentiment Classification Method of Chinese Micro-blog Based on Emotional Knowledge
5
18 2
19 12
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VIREO @ TRECVID 2011: Instance Search, Semantic Indexing, Multimedia Event Detection and Known-Item Search.
1

About Lei Pang

Lei Pang is a scholar working on Computer Vision and Pattern Recognition, Condensed Matter Physics and Aquatic Science, having authored 47 papers that have together received 494 indexed citations. Recurring topics across this work include Video Analysis and Summarization (14 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Condensed Matter Physics (150 citations), Computer Vision and Pattern Recognition (215 citations) and Signal Processing (36 citations). Lei Pang has collaborated with scholars based in China, Hong Kong and Malaysia. Frequent co-authors include Chong‐Wah Ngo, Shiai Zhu, Junzhi Yu, Zhiqiang Cao, Xinhua Wang, Sen Huang, Guoguo Liu, Wei Ke, Yingkui Zheng and Xinyu Liu. Their work appears in journals such as Environmental Research, IEEE Electron Device Letters and IEEE Transactions on Systems Man and Cybernetics Systems.

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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