Ao Luo

1.3k total citations · 2 hit papers
29 papers, 638 citations indexed

About

Ao Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Ao Luo has authored 29 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Ao Luo's work include Advanced Image and Video Retrieval Techniques (10 papers), Advanced Vision and Imaging (9 papers) and Multimodal Machine Learning Applications (7 papers). Ao Luo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Advanced Vision and Imaging (9 papers) and Multimodal Machine Learning Applications (7 papers). Ao Luo collaborates with scholars based in China, United States and United Arab Emirates. Ao Luo's co-authors include Hong Cheng, Fan Yang, Shuaicheng Liu, Rui Huang, Deng-Ping Fan, Qiang Zhai, Xin Li, Haoqiang Fan, Xin Li and Songchen Han and has published in prestigious journals such as ACM Transactions on Graphics, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Ao Luo

28 papers receiving 629 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection

2021 195 citations Fan Yang, Qiang Zhai et al. profile →
Low-Light Image Enhancement with Wavelet-Based Diffusion Models

2023 113 citations Hai Jiang, Ao Luo et al. ACM Transactions on Graphics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ao Luo China	11	509	108	78	47	30	29	638
Xue Yuan China	12	361 0.7×	83 0.8×	126 1.6×	67 1.4×	43 1.4×	48	531
Shuai Zheng United Kingdom	11	716 1.4×	117 1.1×	64 0.8×	55 1.2×	7 0.2×	19	867
Xin Feng China	11	344 0.7×	78 0.7×	62 0.8×	23 0.5×	11 0.4×	51	527
Santosh Kumar Vipparthi India	18	606 1.2×	117 1.1×	110 1.4×	43 0.9×	7 0.2×	56	815
Benjamin Höferlin Germany	11	774 1.5×	165 1.5×	96 1.2×	56 1.2×	18 0.6×	19	880
Alireza Behrad Iran	13	494 1.0×	92 0.9×	76 1.0×	51 1.1×	9 0.3×	77	646
Ik Hyun Lee South Korea	11	242 0.5×	91 0.8×	99 1.3×	21 0.4×	15 0.5×	38	453
Fatma Güney Türkiye	7	421 0.8×	128 1.2×	77 1.0×	94 2.0×	125 4.2×	16	634

Countries citing papers authored by Ao Luo

Since Specialization

Citations

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

Fields of papers citing papers by Ao Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ao Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ao Luo. A scholar is included among the top collaborators of Ao 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 Ao Luo. Ao Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Li, Xin, Fan Yang, Qiang Zhai, et al.. (2025). MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification. 20789–20799.

2.

Cui, Xiangyang, et al.. (2025). Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection. 19207–19217. 1 indexed citations

3.

Zhou, Tianhao, Ziyi Wang, Ao Luo, et al.. (2024). RecDiffusion: Rectangling for Image Stitching with Diffusion Models. 2692–2701. 7 indexed citations

4.

Luo, Ao, et al.. (2024). Efficient Meshflow and Optical Flow Estimation from Event Cameras. 19198–19207. 1 indexed citations

5.

Jiang, Hai, Ao Luo, Ping Tan, et al.. (2024). DMHomo: Learning Homography with Diffusion Models. ACM Transactions on Graphics. 43(3). 1–16. 6 indexed citations

6.

Luo, Ao, et al.. (2024). FlowDiffuser: Advancing Optical Flow Estimation with Diffusion Models. 19167–19176. 3 indexed citations

7.

Luo, Kunming, et al.. (2023). Learning Optical Flow from Event Camera with Rendered Dataset. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9813–9823. 9 indexed citations

8.

Luo, Ao, Fan Yang, Xin Li, et al.. (2023). GAFlow: Incorporating Gaussian Attention into Optical Flow. 9608–9617. 17 indexed citations

9.

Zhao, Yang, et al.. (2022). Attention-Based Deep Driving Model for Autonomous Vehicles with Surround-View Cameras. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 286–292. 1 indexed citations

10.

Luo, Ao, Fan Yang, Xin Li, et al.. (2021). Robust Scene Parsing by Mining Supportive Knowledge From Dataset. IEEE Transactions on Neural Networks and Learning Systems. 34(5). 2633–2646. 5 indexed citations

11.

Li, Xin, Deng-Ping Fan, Fan Yang, et al.. (2021). Probabilistic Model Distillation for Semantic Correspondence. 7501–7510. 16 indexed citations

12.

Sun, Bo, et al.. (2021). Student Class Behavior Dataset: a video dataset for recognizing, detecting, and captioning students’ behaviors in classroom scenes. Neural Computing and Applications. 33(14). 8335–8354. 40 indexed citations

13.

Huang, Rui, et al.. (2021). TemporalFusion: Temporal Motion Reasoning with Multi-Frame Fusion for 6D Object Pose Estimation. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5930–5936. 2 indexed citations

14.

Liu, Shuaicheng, Kunming Luo, Ao Luo, et al.. (2021). ASFlow: Unsupervised Optical Flow Learning With Adaptive Pyramid Sampling. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4282–4295. 15 indexed citations

15.

Luo, Ao, Fan Yang, Xin Li, Rui Huang, & Hong Cheng. (2020). EKENet: Efficient knowledge enhanced network for real-time scene parsing. Pattern Recognition. 111. 107671–107671. 6 indexed citations

16.

Li, Yuezun, Ao Luo, & Siwei Lyu. (2020). Fast Portrait Segmentation With Highly Light-Weight Network. 1511–1515. 3 indexed citations

17.

Luo, Ao, Fan Yang, Xin Li, et al.. (2020). Hybrid Graph Neural Networks for Crowd Counting. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11693–11700. 56 indexed citations

18.

Luo, Ao, Wei Huang, & W. Fan. (2019). A CNN-based Approach to the Detection of SQL Injection Attacks. 320–324. 25 indexed citations

19.

Luo, Ao, et al.. (2013). Design of Longitudinal-Torsional Vibration Stepped Horn with Multiple Diagonal Slits. Applied Mechanics and Materials. 312. 51–54. 3 indexed citations

20.

Luo, Ao, et al.. (2012). Kinematics Analysis on Ultrasonic Deep Rolling with Longitudinal-Torsional Vibration. Advanced materials research. 630. 148–152. 3 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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