Qinquan Gao

4.7k total citations · 1 hit paper
65 papers, 2.3k citations indexed

About

Qinquan Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qinquan Gao has authored 65 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qinquan Gao's work include Advanced Image Processing Techniques (19 papers), Medical Image Segmentation Techniques (15 papers) and Advanced Vision and Imaging (14 papers). Qinquan Gao is often cited by papers focused on Advanced Image Processing Techniques (19 papers), Medical Image Segmentation Techniques (15 papers) and Advanced Vision and Imaging (14 papers). Qinquan Gao collaborates with scholars based in China, United Kingdom and Macao. Qinquan Gao's co-authors include Tong Tong, Gen Li, Daniel Rueckert, Min Du, Wei-Ming Lin, Joseph V. Hajnal, Robin Wolz, Ricardo Guerrero, Tong Tong and Liang Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Qinquan Gao

55 papers receiving 2.2k 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.

Image Super-Resolution Using Dense Skip Connections

2017 937 citations Tong Tong, Qinquan Gao et al. profile →

Peers

Countries citing papers authored by Qinquan Gao

Since Specialization

Citations

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

Fields of papers citing papers by Qinquan Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinquan Gao

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A universal parameter-efficient fine-tuning approach for stereo image super-resolution 2025 ·Engineering Applications of Artificial Intelligence ·Yuanbo Zhou, (unknown), Xinlin Zhang, Wei Deng, Tao Wang, Tao Tan, Qinquan Gao, Tong Tong	0
2	Distance guided generative adversarial network for explainable medical image classifications 2024 ·Computerized Medical Imaging and Graphics ·(unknown), (unknown), Xiaohong Liu, Wei Ke, Chan‐Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, (unknown)	0
3	Two-stage image colorization via color codebook 2024 ·Expert Systems with Applications ·(unknown), Yuanbo Zhou, (unknown), Xinlin Zhang, (unknown), (unknown), (unknown), (unknown), Qinquan Gao, Tong Tong	1
4	E2-RealSR: efficient and effective real-world super-resolution network based on partial degradation modulation 2024 ·The Visual Computer ·Jiajun Zhang, Yuanbo Zhou, Tong Tong, Hongjun Liu, Tian Tian, (unknown), Qinquan Gao, (unknown)	0
5	Towards real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information 2024 ·Expert Systems with Applications ·Yuanbo Zhou, (unknown), Jiang Bi, (unknown), Xinlin Zhang, Jiajun Zhang, (unknown), (unknown), (unknown), Qinquan Gao, Tong Tong	2
6	A blind image super-resolution network guided by kernel estimation and structural prior knowledge 2024 ·Scientific Reports ·Jiajun Zhang, Yuanbo Zhou, Jiang Bi, (unknown), Wei Deng, (unknown), (unknown), Kai Sun, Tong Tong, Qinquan Gao, Qing Zhang	1
7	LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results 2023 ·Displays ·(unknown), (unknown), Menghan Hu, Xiaohong Liu, Yukun Li, Qinquan Gao, Tong Tong, Tao Tan	10
8	Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning 2023 ·Biomedical Signal Processing and Control ·Zhechen Guo, (unknown), Jianchao Wang, (unknown), Zhida Wu, (unknown), (unknown), Tao Wang, Ming Du, Qinquan Gao, (unknown), Tong Tong, Gang Chen	3
9	HTC-Net: A hybrid CNN-transformer framework for medical image segmentation 2023 ·Biomedical Signal Processing and Control ·(unknown), Yuanbin Chen, (unknown), Yuanbo Zhou, Longxuan Zhao, Qinquan Gao, Anna Min Du, Tao Tan, Xinlin Zhang, Tong Tong	47
10	A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images 2022 ·Biomedical Signal Processing and Control ·(unknown), (unknown), (unknown), Tao Wang, (unknown), Yuxiu Huang, Hejun Zhang, Jianchao Wang, (unknown), Haiyan Jiang, Ren-Guey Lee, Ming Du, Tong Tong, Qinquan Gao, Gang Chen	14
11	O-Net: A Novel Framework With Deep Fusion of CNN and Transformer for Simultaneous Segmentation and Classification 2022 ·Frontiers in Neuroscience ·Tao Wang, (unknown), (unknown), (unknown), Yuxiu Huang, (unknown), Hejun Zhang, Jianchao Wang, (unknown), Haiyan Jiang, Ren-Guey Lee, Qinquan Gao, Ming Du, Tong Tong, Gang Chen	35
12	A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation 2022 ·Computer Methods and Programs in Biomedicine ·(unknown), Xiaogen Zhou, Tong Tong, (unknown), (unknown), Haonan Zheng, Jing Li, Ensheng Xue, Shun Chen, Meijuan Zheng, (unknown), Haiyan Jiang, Min Du, Qinquan Gao	25
13	UTILITY OF POLYGENIC RISK SCORING TO PREDICT COGNITIVE IMPAIRMENT AS MEASURED BY PRECLINICAL ALZHEIMER COGNITIVE COMPOSITE SCORE 2022 ·Qinquan Gao, (unknown), A.M. Gibson, Richard Pither	2
14	Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual 2021 ·IEEE Access ·(unknown), (unknown), (unknown), Qinquan Gao, Min Du, Hejun Zhang, Zhida Wu, (unknown), Yuxiu Huang, Tong Tong, Gang Chen	5
15	Multiclass diagnosis of stages of Alzheimer's disease using linear discriminant analysis scoring for multimodal data 2021 ·Computers in Biology and Medicine ·Wei-Ming Lin, Qinquan Gao, Min Du, Weisheng Chen, Tong Tong	54
16	Predicting Alzheimer’s Disease Conversion From Mild Cognitive Impairment Using an Extreme Learning Machine-Based Grading Method With Multimodal Data 2020 ·Frontiers in Aging Neuroscience ·Wei-Ming Lin, Qinquan Gao, (unknown), (unknown), (unknown), Weisheng Chen, Min Du, Tong Tong	52
17	FZUImageReg: A toolbox for medical image registration and dose fusion in cervical cancer radiotherapy 2017 ·PLoS ONE ·Qinquan Gao, Shaohui Lin, (unknown), Min Du, (unknown), (unknown), Tong Tong	2
18	New support vector machine-based method for microRNA target prediction 2014 ·Genetics and Molecular Research ·(unknown), Qinquan Gao, Xinjun Mao, Yafei Cao	2
19	Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy 2013 ·Computerized Medical Imaging and Graphics ·Qinquan Gao, (unknown), Daniel Rueckert, Simak Ali, Daniel C. Cohen, Philip Pratt, Erik Mayer, Guang‐Zhong Yang, Ara Darzi, Philip “Eddie” Edwards	8
20	Multiple Instance Learning for Classification of Dementia in Brain MRI 2013 ·Lecture notes in computer science ·Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert	21

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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