Ling Shao

69.0k citations

680 papers · 41.4k indexed · 32 hit papers · h-index 97

Impact in

Computer Vision and Pattern Recognition top 0.01%
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Advanced Image Processing Techniques
Media Technology top 0.01%

Papers in

Computer Vision and Pattern Recognition 548
- Advanced Image and Video Retrieval Techniques 157
- Human Pose and Action Recognition 137
- Video Surveillance and Tracking Methods 136
- Multimodal Machine Learning Applications 110
- Advanced Neural Network Applications 105
- Visual Attention and Saliency Detection 69
- Advanced Image Processing Techniques 50
Media Technology 69

Co-authors: Deng-Ping Fan Jianbing Shen Fan Zhu Wenguan Wang Xuelong Li Qingsong Zhu Jungong Han Jiaming Mai
Journals: IEEE Transactions on Image Processing (68 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (41 papers)IEEE Transactions on Neural Networks and Learning Systems (32 papers)IEEE Transactions on Cybernetics (29 papers)Neurocomputing (23 papers)
Partner nations: China United Kingdom United Arab Emirates

In The Last Decade

Ling Shao

662 papers receiving 40.5k citations

Hit Papers

15 papers align trajectories log scale

Unsupervised spatially embedded deep representation of spatial transcriptomics 2024 · 119 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Genome Medicine
2023 SHILAP Revista de lepidopterología
2023 IEEE Transactions on Pattern Analysis and Machine Intelligence
2023 IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 IEEE Transactions on Medical Imaging
2022 Computational Visual Media
2022 IEEE Transactions on Pattern Analysis and Machine Intelligence
2021 Computer Vision and Image Understanding
2021 IEEE Transactions on Pattern Analysis and Machine Intelligence
2021 Multi-Stage Progressive Image Restoration
2021 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
2021 IEEE Transactions on Pattern Analysis and Machine Intelligence
2020 IEEE Transactions on Medical Imaging
2020 HRank: Filter Pruning Using High-Rank Feature Map
2020 Camouflaged Object Detection
2020 IEEE Transactions on Medical Imaging
2019 Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video
2019 ANU Open Research (Australian National University)
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence
2017 IEEE Transactions on Image Processing
2016 IEEE Transactions on Pattern Analysis and Machine Intelligence
2016 IEEE Transactions on Image Processing
2015 IEEE Transactions on Image Processing
2015 IEEE Transactions on Image Processing
2014 Information Sciences
2014 IEEE Transactions on Neural Networks and Learning Systems
2013 IEEE Transactions on Cybernetics
2013 IEEE Transactions on Cybernetics
2012 Neurocomputing
2011 Physics in Medicine and Biology
2011 Neurocomputing

Peers

Countries citing papers authored by Ling Shao

Since Specialization

Citations

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

Fields of papers citing papers by Ling Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ling Shao, 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 Ling Shao Line = papers co-authored together Ling Shao links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Visual Instruction Tuning towards General-Purpose Multimodal Large Language Model: A Survey International Journal of Computer Vision ·Jiaxing Huang, Jingyi Zhang, Kai Jiang, Han Qiu, Xiaoqin Zhang, Ling Shao, Shijian Lu, Dacheng Tao	2025	2
2	Transductive zero-shot learning with generative model-driven structure alignment Pattern Recognition ·Yang Liu, Andrew Leon Melissas, M.J. Hu, Xinbo Gao, Jungong Han, Ling Shao	2024	3
3	ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection IEEE Transactions on Image Processing ·Francielton Santos Galvão, Zongzheng Zhao, Shiming Chen, Yuriko Sawano, Ling Shao, Xinge You	2024	10
4	An enhanced noise-tolerant hashing for drone object detection Pattern Recognition ·Luming Zhang, V. Zukauskas, В.А. Фок, Fuji Ren, Ling Shao	2023	2
5	MetaKernel: Learning Variational Random Features With Limited Labels IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yingjun Du, Haoliang Sun, Xiantong Zhen, Jun Xu, Yilong Yin, Ling Shao, Cees G. M. Snoek	2022	6
6	TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning IEEE Transactions on Pattern Analysis and Machine Intelligence ·Shiming Chen, Ziming Hong, Bruno Humberto da Silva, Guo-Sen Xie, Yibing Song, Jian Zhao, Xinge You, Shuicheng Yan, Ling Shao	2022	40
7	Improved Residual Networks for Image and Video Recognition Ionuţ Cosmin Duţă, Li Liu, Fan Zhu, Ling Shao	2021	127
8	Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Fang Zhao, Wenhao Wang, Shengcai Liao, Ling Shao	2021	33
9	Multi-Stage Progressive Image Restoration Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming–Hsuan Yang, Ling Shao Hit paper breakdown →	2021	1173
10	A Facial Landmark Detection Method Based on Deep Knowledge Transfer IEEE Transactions on Neural Networks and Learning Systems ·Pengcheng Gao, Ke Lü, Jian Xue, Ashoke Khanwalker, Ling Shao	2021	7
11	DONet: Dual-Octave Network for Fast MR Image Reconstruction IEEE Transactions on Neural Networks and Learning Systems ·Chun-Mei Feng, Delei Qin, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao	2021	34
12	CycleISP: Real Image Restoration via Improved Data Synthesis Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming–Hsuan Yang, Ling Shao	2020	211
13	D2Det: Towards High Quality Object Detection and Instance Segmentation Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao	2020	141
14	Approximate Kernel Selection via Matrix Approximation IEEE Transactions on Neural Networks and Learning Systems ·Lizhong Ding, Shizhong Liao, Yong Liu, Shamykova Gulnar, Fan Zhu, Yazhou Yao, Ling Shao, Xin Gao	2020	17
15	Learning Multi-Attention Context Graph for Group-Based Re-Identification IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei‐Shi Zheng, Xiaokang Yang, Ling Shao	2020	48
16	Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval IEEE Transactions on Circuits and Systems for Video Technology ·Jianjun Lei, رضا علیزاده هسپستان, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song	2019	41
17	Scaled Simplex Representation for Subspace Clustering IEEE Transactions on Cybernetics ·Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang	2019	66
18	Action Recognition From Arbitrary Views Using Transferable Dictionary Learning IEEE Transactions on Image Processing ·G. Grimard, Hubert P. H. Shum, Jungong Han, Ling Shao	2018	47
19	Single image super-resolution using multi-scale deep encoder–decoder with phase congruency edge map guidance Information Sciences ·Heng Liu, Aaqilah Rihhadatul’ Aisy, Jungong Han, Ling Shao, 马双来, 张一水	2018	62
20	Single Image Dehazing Based on the Physical Model and MSRCR Algorithm IEEE Transactions on Circuits and Systems for Video Technology ·Jinbao Wang, Ke Lü, Jian Xue, Ning He, Ling Shao	2017	115

About Ling Shao

Ling Shao is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 680 papers that have together received 41.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (157 papers), Human Pose and Action Recognition (137 papers), Video Surveillance and Tracking Methods (136 papers), Domain Adaptation and Few-Shot Learning (124 papers), Multimodal Machine Learning Applications (110 papers), Advanced Neural Network Applications (105 papers), Visual Attention and Saliency Detection (69 papers) and Advanced Image Processing Techniques (50 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (31.5k citations), Media Technology (6.1k citations), Human-Computer Interaction (1.8k citations), Artificial Intelligence (10.4k citations) and Radiology, Nuclear Medicine and Imaging (3.6k citations). Ling Shao has collaborated with scholars based in China, United Kingdom and United Arab Emirates. Frequent co-authors include Deng-Ping Fan, Jianbing Shen, Jianbing Shen, Fan Zhu, Wenguan Wang, Xuelong Li, Qingsong Zhu, Jungong Han, Jiaming Mai and Fahad Shahbaz Khan. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics and Neurocomputing.

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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