Qi She

2.7k citations

33 papers · 1.3k indexed · 2 hit papers · h-index 15

Impact in

Computer Vision and Pattern Recognition top 1%
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Computer Graphics and Computer-Aided Design top 5%

Papers in ⓘ

Computer Vision and Pattern Recognition 21
- Advanced Neural Network Applications 9
- Multimodal Machine Learning Applications 5
- Generative Adversarial Networks and Image Synthesis 5
Artificial Intelligence 17
- Domain Adaptation and Few-Shot Learning 8
- Anomaly Detection Techniques and Applications 4

Co-authors: Zhengwei Wang (10 shared papers)Tomás Ward (5 shared papers)Aljoša Smolić (2 shared papers)Changhu Wang (4 shared papers)Eoin Brophy (1 shared paper)Duo Li (2 shared papers)Lei Zhu (1 shared paper)Qifeng Chen (1 shared paper)
Journals: ACM Computing Surveys (2 papers)Scientific Reports (1 paper)IEEE Access (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Pattern Recognition (1 paper)
Partner nations: Hong Kong China Ireland

In The Last Decade

Qi She

31 papers receiving 1.3k citations

Hit Papers

align trajectories log scale

Generative Adversarial Networks in Time Series: A Systematic Literature Review 2022 · 178 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.

2022 ACM Computing Surveys
2021 Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Peers

Countries citing papers authored by Qi She

Since Specialization

Citations

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

Fields of papers citing papers by Qi She

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Involution: Inverting the Inherence of Convolution for Visual Recognition Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen Hit paper breakdown →	2021	264
2	Generative Adversarial Networks in Time Series: A Systematic Literature Review ACM Computing Surveys ·Eoin Brophy, Zhengwei Wang, Qi She, Tomás Ward Hit paper breakdown →	2022	178
3	ACTION-Net: Multipath Excitation for Action Recognition Zhengwei Wang, Qi She, Aljoša Smolić	2021	163
4	Generative Adversarial Networks in Computer Vision ACM Computing Surveys ·Zhengwei Wang, Qi She, Tomás Ward	2021	144
5	Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She	2020	103
6	MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee	2021	94
7	Learning from Temporal Gradient for Semi-supervised Action Recognition 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li	2022	54
8	On Learning Contrastive Representations for Learning with Noisy Labels 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Yi Li, Sheng Liu, Qi She, A. Ian McLeod, Boyu Wang	2022	47
9	OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning CINECA IRIS Institutial research information system (University of Pisa) ·Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan	2020	39
10	Generative Adversarial Networks: A Survey and Taxonomy. arXiv (Cornell University) ·Zhengwei Wang, Qi She, Tomás Ward	2019	33
11	Weakly Supervised Object Localization as Domain Adaption 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu	2022	29
12	Evaluating the Small-World-Ness of a Sampled Network: Functional Connectivity of Entorhinal-Hippocampal Circuitry Scientific Reports ·Qi She, Guanrong Chen, Rosa H. M. Chan	2016	24
13	CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions CINECA IRIS Institutial research information system (University of Pisa) ·Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, M. Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German I. Parisi, Nikhil Churamani, Marc Pickett, Issam Laradji, Davide Maltoni	2022	23
14	Challenges in Task Incremental Learning for Assistive Robotics IEEE Access ·Fan Feng, Rosa H. M. Chan, Xuesong Shi, Yimin Zhang, Qi She	2019	23
15	Learning the Superpixel in a Non-iterative and Lifelong Manner Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu	2021	20
16	Reduced-Rank Linear Dynamical Systems Proceedings of the AAAI Conference on Artificial Intelligence ·Qi She, Yuan Gao, Kai Xu, Rosa H. M. Chan	2018	14
17	Cross-frequency information transfer from EEG to EMG in grasping PubMed ·Winnie K. Y. So, Lingling Yang, Beth Jelfs, Qi She, Savio W.H. Wong, Joseph N. Mak, Rosa H. M. Chan	2016	11
18	CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition Trinity's Access to Research Output (TARA) (Trinity College Dublin) ·Zhengwei Wang, Qi She, Tejo Chalasani, Aljoša Smolić	2020	8
19	Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment IEEE Transactions on Neural Networks and Learning Systems ·Fan Feng, Lu Hou, Qi She, Rosa H. M. Chan, James T. Kwok	2022	6
20	Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks Neurocomputing ·Zhengwei Wang, Qi She, Alan F. Smeaton, Tomás Ward, Graham Healy	2020	5

About Qi She

Qi She is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Media Technology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Neural dynamics and brain function (8 papers), Multimodal Machine Learning Applications (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Functional Brain Connectivity Studies (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Gait Recognition and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (779 citations), Computer Graphics and Computer-Aided Design (60 citations), Artificial Intelligence (458 citations), Media Technology (118 citations) and Human-Computer Interaction (57 citations). Qi She has collaborated with scholars based in Hong Kong, China and Ireland. Frequent co-authors include Zhengwei Wang, Tomás Ward, Aljoša Smolić, Changhu Wang, Eoin Brophy, Duo Li, Lei Zhu, Qifeng Chen, Tong Zhang and Xiangtai Li. Their work appears in journals such as ACM Computing Surveys, Scientific Reports, IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Pattern Recognition.

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.

Explore authors with similar magnitude of impact