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

Automated Melanoma Recogn... 2016 2026 2019 2022 2016 2016 2017 2016 2016 250 500 750
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.

  1. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
    2016 775 citations Qi Dou, Jing Qin et al. profile →
  2. 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 →
  3. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
    2017 506 citations Qi Dou, Jing Qin et al. profile →
  4. Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
    2016 471 citations Qi Dou, Jing Qin et al. profile →
  5. Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
    2016 423 citations Qi Dou, Jing Qin et al. profile →
  6. 3D deeply supervised network for automated segmentation of volumetric medical images
    2017 418 citations Qi Dou, Jing Qin et al. profile →
  7. DCAN: Deep contour-aware networks for object instance segmentation from histology images
    2016 351 citations Qi Dou, Jing Qin et al. profile →
  8. 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 →
  9. 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 →
  10. SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation
    2021 180 citations Jing Qin et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jing Qin 5.2k 4.5k 4.1k 2.1k 1.4k 527 15.6k
Li Wang 4.8k 0.9× 2.4k 0.5× 4.9k 1.2× 1.4k 0.7× 803 0.6× 828 18.6k
Pheng‐Ann Heng 11.5k 2.2× 7.1k 1.6× 6.8k 1.6× 2.9k 1.4× 1.5k 1.0× 535 22.8k
Dagan Feng 6.8k 1.3× 3.7k 0.8× 4.9k 1.2× 1.9k 0.9× 979 0.7× 692 15.2k
Hao Chen 9.7k 1.9× 6.8k 1.5× 5.9k 1.4× 2.1k 1.0× 1.8k 1.2× 354 19.4k
Qi Dou 4.4k 0.8× 4.4k 1.0× 4.5k 1.1× 1.9k 0.9× 1.2k 0.8× 174 10.5k
Jianming Liang 5.5k 1.1× 4.3k 0.9× 4.9k 1.2× 1.5k 0.7× 1.3k 0.9× 89 12.8k
Taesung Park 10.6k 2.0× 3.8k 0.8× 2.2k 0.5× 1.1k 0.5× 2.8k 1.9× 425 24.8k
Nima Tajbakhsh 5.4k 1.0× 4.1k 0.9× 4.8k 1.2× 1.5k 0.7× 1.2k 0.9× 27 12.1k
Jianhua Yao 2.6k 0.5× 3.3k 0.7× 4.5k 1.1× 2.1k 1.0× 1.2k 0.8× 377 12.7k
Yudong Zhang 8.2k 1.6× 8.8k 2.0× 5.9k 1.4× 3.3k 1.6× 700 0.5× 1.0k 29.4k

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

20 of 20 papers shown
1.
Qin, Jing, et al.. (2025). Hemangioblastoma-like Clear Cell Stromal Tumor of the Lung: A Comprehensive Review With Insights From a Case. Advances in Anatomic Pathology. 33(1). 61–64.
2.
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Qin, Jing, Weixun Zhou, Xue Zhao, et al.. (2025). Comparison of Radiomics and Deep Learning Using Intestinal Ultrasound Images for Differentiating Inflammatory and Fibrotic Intestinal Strictures in Crohn’s Disease. Journal of Inflammation Research. Volume 18. 16399–16410.
4.
Yu, Yang & Jing Qin. (2025). Advances in Pathophysiological Mechanisms of Degenerative Aortic Valve Disease. Cardiology Research. 16(2). 86–101.
5.
Qin, Jing, Qinghua Song, Runqiong Wang, et al.. (2025). A task-cooperative drilling monitoring method based on heterogeneous multi-task learning: Task adaptive fusion guided by domain knowledge. Mechanical Systems and Signal Processing. 225. 112299–112299. 1 indexed citations
6.
Qin, Jing, et al.. (2024). Improved skeleton-based activity recognition using convolutional block attention module. Computers & Electrical Engineering. 116. 109231–109231. 4 indexed citations
7.
Liu, Lihao, et al.. (2024). Unsupervised lung CT image registration via stochastic decomposition of deformation fields. Computerized Medical Imaging and Graphics. 115. 102397–102397. 2 indexed citations
8.
Huang, Yunwei, Jing Qin, Jianyu Long, et al.. (2024). Experimental investigation on the effects of particulate interference on radiation thermometry. International Journal of Heat and Mass Transfer. 224. 125350–125350. 1 indexed citations
9.
Hang, Wenlong, Shuang Liang, Qingfeng Zhang, et al.. (2024). Reliable semi-supervised mutual learning framework for medical image segmentation. Biomedical Signal Processing and Control. 99. 106798–106798. 1 indexed citations
10.
Zhang, Yazhou, Jinglin Wang, Lu Rong, et al.. (2023). A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations. Information Fusion. 93. 282–301. 73 indexed citations
11.
Sun, Hantao, Feng Wu, Hsiang‐Sheng Ku, et al.. (2023). Characterization of Loss Mechanisms in a Fluxonium Qubit. Physical Review Applied. 20(3). 10 indexed citations
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Liu, Chuntao, Yiqiang Pei, Chunling Wu, Fan Zhang, & Jing Qin. (2023). Novel insights into the NOx emissions characteristics in PEMS tests of a heavy-duty vehicle under different payloads. Journal of Environmental Management. 348. 119400–119400. 9 indexed citations
14.
Wang, Kang, Jinghua Xu, Shuyou Zhang, Jianrong Tan, & Jing Qin. (2023). Towards low-budget energy efficiency design in additive manufacturing based on variational scale-aware transformer. Journal of Cleaner Production. 393. 136168–136168. 18 indexed citations
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Lyu, Jun, Bin Sui, Chengyan Wang, Qi Dou, & Jing Qin. (2023). Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. Expert Systems with Applications. 232. 120836–120836. 13 indexed citations
17.
Hao, Xiaoke, et al.. (2022). Exploring high-order correlations with deep-broad learning for autism spectrum disorder diagnosis. Frontiers in Neuroscience. 16. 1046268–1046268. 10 indexed citations
18.
Huang, Jin, Jun Wang, Honghua Chen, et al.. (2019). Mesh-based computation for solving bas-relief reconstruction from editable normal image. Measurement Science and Technology. 30(4). 45402–45402. 1 indexed citations
19.
Masood, Saleha, Ruogu Fang, Ping Li, et al.. (2019). Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning. Scientific Reports. 9(1). 3058–3058. 77 indexed citations
20.
Meng, Linghui, et al.. (2019). Fastconv: Fast Learning Based Adaptive BitRate Algorithm for Video Streaming. 1–6. 1 indexed citations

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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