Ge Deng

1.9k citations
4 papers · 1.1k indexed · 1 hit paper · h-index 3

Impact in

Papers in

    • Video Surveillance and Tracking Methods 3
    • Advanced Image and Video Retrieval Techniques 1
    • Image Enhancement Techniques 1
    • Visual Attention and Saliency Detection 1
    • Advanced Vision and Imaging 1
    • Advanced Neural Network Applications 1
    • Image Processing Techniques and Applications 1

Ge Deng

4 papers receiving 1.1k citations

Hit Papers

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking 2019 · 970 citations
9702019202620212023250500750

Peers

Ge Deng
Comparison fields: 5 of 56
  • Computer Vision and Pattern Recognition 1.0k
  • Safety, Risk, Reliability and Quality 244
  • Aerospace Engineering 277
  • Human-Computer Interaction 42
  • Global and Planetary Change 123
Replace Hexin Bai with:
Hexin Bai United States
Alan Lukežič Slovenia
Ashton Fagg Australia
Zeyu Wang China
Ziang Cao China
Junjie Ye China
Ziyuan Huang China
Jack Valmadre Australia
Ge Deng relative to Hexin Bai United States Hexin Bai's profile →
Citations per field
00.5×1.5×
Hexin Bai · 1×
Citations per year

Countries citing papers authored by Ge Deng

Since Specialization
Citations

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

Fields of papers citing papers by Ge Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ge Deng, 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 Ge Deng Line = papers co-authored together Ge Deng links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 20242
2 2020151
3
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking
Hit paper breakdown →
2019970
4 20181

About Ge Deng

Ge Deng is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Safety, Risk, Reliability and Quality, Artificial Intelligence and Infectious Diseases, having authored 4 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), Advanced Image and Video Retrieval Techniques (1 paper), Image Enhancement Techniques (1 paper), Fire Detection and Safety Systems (1 paper), Visual Attention and Saliency Detection (1 paper), Advanced Vision and Imaging (1 paper), Advanced Neural Network Applications (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Safety, Risk, Reliability and Quality (244 citations), Aerospace Engineering (277 citations), Human-Computer Interaction (42 citations) and Global and Planetary Change (123 citations). Ge Deng has collaborated with scholars based in United States and China. Frequent co-authors include Peng Chu, Chunyuan Liao, Haibin Ling, Heng Fan, Yong Xu, Sijia Yu, Hexin Bai, Liting Lin, Fan Yang and Mingzhen Huang. Their work appears in journals such as Computers in Biology and Medicine, International Journal of Computer Vision and PubMed.

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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