Jing Qin

25.5k total citations · 10 hit papers
527 papers, 15.6k citations indexed

About

Jing Qin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jing Qin has authored 527 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Computer Vision and Pattern Recognition, 85 papers in Artificial Intelligence and 71 papers in Computational Mechanics. Recurrent topics in Jing Qin's work include Medical Image Segmentation Techniques (47 papers), Advanced Neural Network Applications (41 papers) and AI in cancer detection (41 papers). Jing Qin is often cited by papers focused on Medical Image Segmentation Techniques (47 papers), Advanced Neural Network Applications (41 papers) and AI in cancer detection (41 papers). Jing Qin collaborates with scholars based in China, Hong Kong and United States. Jing Qin's co-authors include Pheng‐Ann Heng, Hao Chen, Qi Dou, Lequan Yu, Dong Ni, Baiying Lei, Xin Yang, Teng Zhou, Tianfu Wang and Chi‐Wing Fu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Jing Qin

482 papers receiving 15.2k citations

Hit Papers

5 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.

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

2016 775 citations Qi Dou, Jing Qin et al. profile →
Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

2016 529 citations Jing Qin et al. Scientific Reports profile →
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

2017 506 citations Qi Dou, Jing Qin et al. profile →
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

2016 471 citations Qi Dou, Jing Qin et al. profile →
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

2016 423 citations Qi Dou, Jing Qin et al. profile →
3D deeply supervised network for automated segmentation of volumetric medical images

2017 418 citations Qi Dou, Jing Qin et al. Medical Image Analysis profile →
DCAN: Deep contour-aware networks for object instance segmentation from histology images

2016 351 citations Qi Dou, Jing Qin et al. Medical Image Analysis profile →
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

2021 292 citations Jing Qin, Qi Dou et al. profile →
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

2020 261 citations Qi Dou, Jing Qin et al. profile →
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation

2021 180 citations Baiying Lei, Jing Qin et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by Jing Qin

Since Specialization

Citations

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

Fields of papers citing papers by Jing Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Qin. A scholar is included among the top collaborators of Jing Qin 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 Jing Qin. Jing Qin 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	MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion 2025 ·Medical Image Analysis ·(unknown), (unknown), Qi Chen, Shujun Wang, Zhanli Hu, Xiaohan Xing, Jing Qin	5
2	Reliable semi-supervised mutual learning framework for medical image segmentation 2024 ·Biomedical Signal Processing and Control ·Wenlong Hang, (unknown), Shuang Liang, Qingfeng Zhang, Qiang Wu, (unknown), Qiong Wang, Jing Qin	1
3	Distilling heterogeneous knowledge with aligned biological entities for histological image classification 2024 ·Pattern Recognition ·Kang Wang, (unknown), Dayan Guan, Jia Liu, Jing Qin	3
4	MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading 2024 ·Information Fusion ·Pan Huang, (unknown), Peng He, (unknown), Yi‐Fang Ping, Peng Feng, Sukun Tian, Hu Chen, Francesco Mercaldo, Antonella Santone, Hui‐Yuan Yeh, Jing Qin	19
5	Conversational agents in physical and psychological symptom management: A systematic review of randomized controlled trials 2024 ·International Journal of Nursing Studies ·Qingling Yang, (unknown), Yan Zhang, Yazhou Zhang, Jing Qin, Yao Jie Xie	2
6	An interpretable thread quality classification model for real-time inspection of tapping process 2024 ·Measurement ·(unknown), Qinghua Song, Jing Qin, (unknown), (unknown), Yukui Cai, Zhanqiang Liu	1
7	Volumetric medical image segmentation via fully 3D adaptation of Segment Anything Model 2024 ·Journal of Applied Biomedicine ·(unknown), (unknown), Sen Deng, Ka Po Wong, Angelica I. Avilés-Rivero, Yiting Fan, Alex Pui‐Wai Lee, Xiaowei Hu, Jing Qin	4
8	Improved skeleton-based activity recognition using convolutional block attention module 2024 ·Computers & Electrical Engineering ·Jing Qin, Shugang Zhang, Yiguo Wang, Fei Yang, (unknown), Weigang Lu	4
9	Integrating UPLC-Q-Exactive Orbitrap/MS, network pharmacology and experimental validation to reveal the potential mechanism of Tibetan medicine Rhodiola granules in improving myocardial ischemia-reperfusion injury 2023 ·Journal of Ethnopharmacology ·(unknown), Jing Qin, (unknown), (unknown), Yuying Li, (unknown), Fengming Zhang, Li Ai, Sanyin Zhang, Yi Zhang, Shaohui Wang	23
10	Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation 2023 ·Expert Systems with Applications ·Jun Lyu, Bin Sui, Chengyan Wang, Qi Dou, Jing Qin	13
11	Deep stacked least square support matrix machine with adaptive multi-layer transfer for EEG classification 2023 ·Biomedical Signal Processing and Control ·Wenlong Hang, Zengguang Li, (unknown), Shuang Liang, (unknown), Qiong Wang, Jing Qin, Kup‐Sze Choi	2
12	Feasibility and effectiveness of artificial intelligence-driven conversational agents in healthcare interventions: A systematic review of randomized controlled trials 2023 ·International Journal of Nursing Studies ·Yan Li, (unknown), Bingqian Zhu, Xu Liu, Jing Li, Dapeng Chen, Jing Qin, Daniel Bressington	26
13	A physics-informed knowledge distillation model with spatial–temporal attention for energy consumption pre-assessment in sustainable additive manufacturing 2023 ·Sustainable Energy Technologies and Assessments ·Kang Wang, (unknown), Zhihao Huang, Jinghua Xu, Shuyou Zhang, Jing Qin	5
14	EFSCNN: Encoded Feature Sphere Convolution Neural Network for fast non-rigid 3D models classification and retrieval 2023 ·Computer Vision and Image Understanding ·Yan Zhou, (unknown), Huaidong Zhang, Xuemiao Xu, Jing Qin, Wenjun Li, Fanzhi Zeng, Xiangyu Liu	2
15	Structure invariance-driven collaborative contrastive network for EEG decoding 2023 ·Biomedical Signal Processing and Control ·Shuang Liang, Zengguang Li, Wenlong Hang, Yuanpeng Zhang, Baiying Lei, Jing Qin, (unknown), Kup‐Sze Choi	1
16	A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations 2023 ·Information Fusion ·Yazhou Zhang, Jinglin Wang, (unknown), Lu Rong, Qian Zheng, Dawei Song, Prayag Tiwari, Jing Qin	73
17	Characterization of Loss Mechanisms in a Fluxonium Qubit 2023 ·Physical Review Applied ·Hantao Sun, Feng Wu, Hsiang‐Sheng Ku, Xizheng Ma, Jing Qin, (unknown), Tenghui Wang, Gengyan Zhang, Jingwei Zhou, Yaoyun Shi, Hui‐Hai Zhao, (unknown)	10
18	Exploring high-order correlations with deep-broad learning for autism spectrum disorder diagnosis 2022 ·Frontiers in Neuroscience ·Xiaoke Hao, (unknown), Jiayang Li, (unknown), Yingchun Guo, Ming Yu, Jing Qin	10
19	Mesh-based computation for solving bas-relief reconstruction from editable normal image 2019 ·Measurement Science and Technology ·Jin Huang, Jun Wang, Honghua Chen, (unknown), Mingqiang Wei, Haoran Xie, Jing Qin	1
20	Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning 2019 ·Scientific Reports ·Saleha Masood, Ruogu Fang, Ping Li, Huating Li, Bin Sheng, (unknown), Xiangning Wang, Po Yang, Qiang Wu, Jing Qin, Weiping Jia	77

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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