Jiebo Luo

44.2k citations
616 papers · 25.3k indexed · 16 hit papers · h-index 73
Topics
Advanced Image and Video Retrieval Techniques (190 papers)Image Retrieval and Classification Techniques (125 papers)Multimodal Machine Learning Applications (110 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Jiebo Luo

587 papers receiving 24.5k citations

Hit Papers

DOTA: A Large-Scale Dataset fo...20042026201120182018200420162009201750010001.5k2.0k

Peers

Jiebo Luo
Comparison fields: 5 of 199
  • Computer Vision and Pattern Recognition 17.8k
  • Artificial Intelligence 9.8k
  • Media Technology 2.5k
  • Information Systems 1.6k
  • Sociology and Political Science 1.4k
Replace Tao Mei with:
Tao Mei China
Dumitru Erhan United States
C. L. Philip Chen China
Scott Reed United States
Meng Wang China
Pierre Sermanet United States
Andrew Rabinovich United States
Jiebo Luo relative to Tao Mei China Tao Mei's profile →
Citations per field
00.5×1.5×2.3×
Tao Mei · 1×
Citations per year

Countries citing papers authored by Jiebo Luo

Since Specialization
Citations

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

Fields of papers citing papers by Jiebo Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiebo Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Jiebo Luo. A scholar is included among the top collaborators of Jiebo Luo 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 Jiebo Luo. Jiebo Luo 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 3
2 1
3 1
4 1
5 2
6 37
7 5
8 1
9 41
10 57
11 36
12 6
13 1
14 18
15 18
16 95
17
DOTA: A Large-Scale Dataset for Object Detection in Aerial Imagesbreakdown →
2094
18 75
19
Image Captioning with Semantic Attentionbreakdown →
1078
20
Recognizing realistic actions from videos “in the wild”breakdown →
746

About Jiebo Luo

Jiebo Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 616 papers that have together received 25.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (190 papers), Image Retrieval and Classification Techniques (125 papers) and Multimodal Machine Learning Applications (110 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (17.8k citations), Artificial Intelligence (9.8k citations) and Media Technology (2.5k citations). Jiebo Luo has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Matthew Boutell, Quanzeng You, Hailin Jin, Christopher M. Brown, Xipeng Shen, Jianlong Fu, Tao Mei, Shuicheng Yan, Mubarak Shah and Jingen Liu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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