Jiebo Luo

44.2k total citations · 16 hit papers
616 papers, 25.3k citations indexed

About

Jiebo Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jiebo Luo has authored 616 papers receiving a total of 25.3k indexed citations (citations by other indexed papers that have themselves been cited), including 442 papers in Computer Vision and Pattern Recognition, 200 papers in Artificial Intelligence and 51 papers in Media Technology. Recurrent topics in Jiebo Luo's work include Advanced Image and Video Retrieval Techniques (190 papers), Image Retrieval and Classification Techniques (125 papers) and Multimodal Machine Learning Applications (110 papers). Jiebo Luo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (190 papers), Image Retrieval and Classification Techniques (125 papers) and Multimodal Machine Learning Applications (110 papers). Jiebo Luo collaborates with scholars based in United States, China and Japan. Jiebo Luo's 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 and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jiebo Luo

587 papers receiving 24.5k citations

Hit Papers

DOTA: A Large-Scale Datas... 2004 2026 2011 2018 2018 2004 2016 2009 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiebo Luo United States 73 17.8k 9.8k 2.5k 1.6k 1.4k 616 25.3k
Wei Liu China 80 18.2k 1.0× 7.5k 0.8× 2.8k 1.1× 1.3k 0.8× 471 0.3× 819 26.8k
Tao Mei China 69 15.1k 0.8× 6.3k 0.6× 1.2k 0.5× 1.4k 0.9× 612 0.4× 441 19.3k
Yongdong Zhang China 68 11.1k 0.6× 7.5k 0.8× 1.3k 0.5× 3.7k 2.2× 1.6k 1.1× 645 22.3k
Meng Wang China 84 16.8k 0.9× 9.9k 1.0× 2.0k 0.8× 5.3k 3.2× 463 0.3× 901 28.0k
Hao Zhang China 96 29.2k 1.6× 6.0k 0.6× 3.3k 1.4× 1.6k 1.0× 1.5k 1.1× 902 40.6k
Yihong Gong China 52 11.5k 0.6× 5.3k 0.5× 1.9k 0.8× 690 0.4× 435 0.3× 223 15.6k
Quoc V. Le United States 64 13.4k 0.8× 18.0k 1.8× 1.4k 0.6× 2.0k 1.2× 394 0.3× 135 31.6k
Changsheng Xu China 66 11.5k 0.6× 4.8k 0.5× 707 0.3× 1.6k 1.0× 1.2k 0.9× 613 16.1k
John Platt United States 44 8.3k 0.5× 12.4k 1.3× 1.2k 0.5× 2.1k 1.3× 441 0.3× 170 27.4k
Koray Kavukcuoglu United States 25 7.7k 0.4× 15.6k 1.6× 658 0.3× 1.6k 0.9× 773 0.5× 35 35.5k

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
1.
Sun, Guozi, Fei Wu, Yimu Ji, et al.. (2025). Learning multi-granularity representation with transformer for visible-infrared person re-identification. Pattern Recognition. 164. 111510–111510. 3 indexed citations
2.
Tang, Yunlong, Jie An, Feng Zheng, et al.. (2025). Video Understanding With Large Language Models: A Survey. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 1355–1376. 16 indexed citations breakdown →
3.
Kritsilis, Marios, René in ‘t Zandt, Yuan Yao, et al.. (2024). Loss of glymphatic homeostasis in heart failure. Brain. 148(3). 985–1000. 8 indexed citations
4.
Wang, Haohan, et al.. (2024). Development of UroSAM: A Machine Learning Model to Automatically Identify Kidney Stone Composition from Endoscopic Video. Journal of Endourology. 38(8). 748–754. 3 indexed citations
5.
Lyu, Hanjia, et al.. (2024). GPT-4V(ision) as A Social Media Analysis Engine. ACM Transactions on Intelligent Systems and Technology. 16(3). 1–54. 7 indexed citations
6.
Zhang, Junping, Cong Jin, Junbin Gao, et al.. (2024). Recent advances in artificial intelligence generated content. Frontiers of Information Technology & Electronic Engineering. 25(1). 1–5. 5 indexed citations
7.
Lyu, Hanjia, Weihong Qi, Zhongyu Wei, & Jiebo Luo. (2024). Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication. Proceedings of the International AAAI Conference on Web and Social Media. 18. 2104–2110. 1 indexed citations
8.
An, Jie, et al.. (2024). Learning to Evaluate the Artness of AI-Generated Images. IEEE Transactions on Multimedia. 26. 10731–10740. 7 indexed citations
9.
Li, Wenbin, Jing Huo, Yinghuan Shi, et al.. (2023). LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14938–14955. 48 indexed citations
10.
Long, Fuchen, Ting Yao, Zhaofan Qiu, et al.. (2023). Bi-calibration Networks for Weakly-Supervised Video Representation Learning. International Journal of Computer Vision. 131(7). 1704–1721. 2 indexed citations
11.
Huang, Yupan, Bei Liu, Houwen Peng, et al.. (2021). Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training. Neural Information Processing Systems. 34. 23 indexed citations
13.
Wan, Zhaoyi, et al.. (2020). On Vocabulary Reliance in Scene Text Recognition. 11422–11431. 36 indexed citations
14.
Luo, Jiebo, Stephen Welby, Karen Hawkins, et al.. (2020). IEEE Transactions on Multimedia. IEEE Transactions on Multimedia. 22(11). C2–C2. 6 indexed citations
15.
Luo, Jiebo & Wenwu Zhu. (2020). IEEE Transactions on Multimedia. IEEE Transactions on Multimedia. 22(3). C3–C3. 1 indexed citations
16.
Zhou, Zhuang, Johnson V. John, Haofu Liao, et al.. (2020). Periosteum Mimetic Coating on Structural Bone Allografts via Electrospray Deposition Enhances Repair and Reconstruction of Segmental Defects. ACS Biomaterials Science & Engineering. 6(11). 6241–6252. 18 indexed citations
17.
Hu, Xiaohua, et al.. (2014). Jointly Image Topic and Emotion Detection using Multi-Modal Hierarchical Latent Dirichlet Allocation. Journal of Multimedia Information System. 1(1). 55–67. 1 indexed citations
18.
Kautz, Henry, et al.. (2013). A general framework for recognizing complex events in Markov logic. National Conference on Artificial Intelligence. 68–73. 2 indexed citations
19.
Liu, Jingen, Jiebo Luo, & Mubarak Shah. (2009). Recognizing realistic actions from videos “in the wild”. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1996–2003. 746 indexed citations breakdown →
20.
Luo, Jiebo & Andreas Savakis. (1998). Texture-based segmentation of natural images using multiresolution autoregressive models. 1 indexed citations

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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