Ling Guan

7.8k total citations · 2 hit papers
334 papers, 4.9k citations indexed

About

Ling Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ling Guan has authored 334 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 242 papers in Computer Vision and Pattern Recognition, 64 papers in Artificial Intelligence and 57 papers in Signal Processing. Recurrent topics in Ling Guan's work include Image Retrieval and Classification Techniques (54 papers), Advanced Image and Video Retrieval Techniques (52 papers) and Human Pose and Action Recognition (48 papers). Ling Guan is often cited by papers focused on Image Retrieval and Classification Techniques (54 papers), Advanced Image and Video Retrieval Techniques (52 papers) and Human Pose and Action Recognition (48 papers). Ling Guan collaborates with scholars based in Canada, China and Australia. Ling Guan's co-authors include Yongjin Wang, Bala Venkatesh, Yifeng He, Alagan Anpalagan, Ahmed Shaharyar Khwaja, Abhishek Gupta, Yun Tie, Naimul Khan, Lin Qi and Lei Gao and has published in prestigious journals such as Journal of Biological Chemistry, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

Ling Guan

308 papers receiving 4.6k 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.

Optimal Scheduling for Charging and Discharging of Electric Vehicles

2012 605 citations Ling Guan et al. profile →
Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

2021 324 citations Abhishek Gupta, Alagan Anpalagan et al. Array profile →

Peers

Countries citing papers authored by Ling Guan

Since Specialization

Citations

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

Fields of papers citing papers by Ling Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Guan. A scholar is included among the top collaborators of Ling Guan 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 Ling Guan. Ling Guan 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

#	Work	Indexed citations
1	Mathematics-Inspired Models: A Green and Interpretable Learning Paradigm for Multimedia Computing 2025 ·ACM Transactions on Multimedia Computing Communications and Applications ·Lei Gao, (unknown), (unknown), Ling Guan	0
2	An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning 2024 ·ACM Transactions on Multimedia Computing Communications and Applications ·Lei Gao, (unknown), Ling Guan	0
3	Interpretability of Machine Learning: Recent Advances and Future Prospects 2023 ·IEEE Multimedia ·Lei Gao, Ling Guan	26
4	A Novel Learning Dictionary for Sparse Coding-Based Key Point Detection 2023 ·IEEE Multimedia ·(unknown), Ling Guan	0
5	Markedly hypoechoic: a new definition improves the diagnostic performance of thyroid ultrasound 2023 ·European Radiology ·(unknown), Ting Luo, Hua Zhang, Hui Liu, Ying Gu, Xia Chen, (unknown), Ling Guan, Xuejun Ni, (unknown), Ruifang Zhang, Xiaohong Jia, Yijie Dong, Jingwen Zhang, Wenwen Xu, Jianqiao Zhou	4
6	Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI*CC'22) 2022 ·Yingxu Wang, Bernard Widrow, Witold Pedrycz, Janusz Kacprzyk, Sam Kwong, (unknown), Ling Guan, Petros Spachos	1
7	A Discriminative Vectorial Framework for Multi-Modal Feature Representation 2021 ·IEEE Transactions on Multimedia ·Lei Gao, Ling Guan	13
8	Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues breakdown → 2021 ·Array ·Abhishek Gupta, Alagan Anpalagan, Ling Guan, Ahmed Shaharyar Khwaja	324
9	Protective efficacy of 6-week regimen for latent tuberculosis infection treatment in rural China: 5-year follow-up of a randomised controlled trial 2021 ·European Respiratory Journal ·Henan Xin, Xuefang Cao, (unknown), Boxuan Feng, Ying Du, Bin Zhang, Dakuan Wang, Zisen Liu, Ling Guan, Fei Shen, Xueling Guan, (unknown), Yijun He, Yongpeng He, (unknown), Shouguo Pan, Jianmin Liu, Qi Jin, Lei Gao	12
10	A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition 2020 ·IEEE Transactions on Multimedia ·(unknown), Lei Gao, Naimul Khan, Lin Qi, Ling Guan	54
11	An exploratory study of decision makers for choosing wedding banquet venues: push and pull motivations 2015 ·International Journal of Tourism Cities ·Ling Guan, Yi Luo, Liang Tang	5
12	A novel cloud gaming framework using joint video and graphics streaming 2014 ·(unknown), Xun Guo, Yan Lu, Yifeng He, Ling Guan, Shipeng Li, Baining Guo	15
13	Selecting discriminative features with discriminative multiple canonical correlation analysis for multi-feature information fusion 2013 ·Lei Gao, Lin Qi, Ling Guan	1
14	Differences in thermal effects of moxibustion at Zusanli (ST 36) and Hegu (LI 4) on various facial areas in healthy people 2012 ·Journal of Traditional Chinese Medicine ·(unknown), (unknown), (unknown), (unknown), (unknown), Ling Guan	9
15	Smoothing of Space Scattered Data by Polynomial Natural Splines 2010 ·Acta Scientiarum Naturalium Universitatis Sunyatseni ·Ling Guan	1
16	Optimal Prefetching Scheme in P2P VoD Applications With Guided Seeks 2008 ·IEEE Transactions on Multimedia ·Yifeng He, Guobin Shen, Yongqiang Xiong, Ling Guan	27
17	Refining competition in the self-organising tree map for unsupervised biofilm image segmentation 2005 ·Neural Networks ·Matthew Kyan, Ling Guan, Steven N. Liss	5
18	Weight assignment for adaptive image restoration by neural networks 2000 ·IEEE Transactions on Neural Networks ·Stuart Perry, Ling Guan	36
19	A combined evolution method for associative memory networks 1998 ·Neural Networks ·(unknown), Ling Guan	2
20	Restoration of randomly blurred images via the maximum a posteriori criterion 1992 ·IEEE Transactions on Image Processing ·Ling Guan, Rabab Ward	8

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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