Qiangguo Jin

1.9k total citations · 2 hit papers
32 papers, 1.3k citations indexed

About

Qiangguo Jin is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Qiangguo Jin has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 16 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Artificial Intelligence. Recurrent topics in Qiangguo Jin's work include Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (7 papers) and Advanced Neural Network Applications (7 papers). Qiangguo Jin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (7 papers) and Advanced Neural Network Applications (7 papers). Qiangguo Jin collaborates with scholars based in China, Australia and Japan. Qiangguo Jin's co-authors include Ran Su, Zhaopeng Meng, Leyi Wei, Changming Sun, Qi Chen, Tuan D. Pham, Hui Cui, Hui Cui, Rachid Jennane and Leilei Cao and has published in prestigious journals such as Nucleic Acids Research, Expert Systems with Applications and Physics in Medicine and Biology.

In The Last Decade

Qiangguo Jin

30 papers receiving 1.2k 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.

DUNet: A deformable network for retinal vessel segmentation

2019 584 citations Qiangguo Jin, Zhaopeng Meng et al. Knowledge-Based Systems profile →
RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans

2020 318 citations Qiangguo Jin, Zhaopeng Meng et al. Frontiers in Bioengineering and Biotechnology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Qiangguo Jin China	10	703	663	355	262	148	32	1.3k
Yuhui Ma China	14	692 1.0×	573 0.9×	279 0.8×	262 1.0×	104 0.7×	36	1.4k
He Ma China	20	756 1.1×	270 0.4×	460 1.3×	103 0.4×	93 0.6×	72	1.2k
Darvin Yi United States	12	778 1.1×	246 0.4×	359 1.0×	212 0.8×	150 1.0×	26	1.2k
Christian Roux France	21	720 1.0×	903 1.4×	195 0.5×	279 1.1×	52 0.4×	118	1.7k
Sheng Lian China	11	380 0.5×	588 0.9×	276 0.8×	77 0.3×	152 1.0×	23	996
Junjie Hu China	17	678 1.0×	267 0.4×	224 0.6×	197 0.8×	62 0.4×	60	1.1k
Adrián Colomer Spain	16	440 0.6×	293 0.4×	323 0.9×	226 0.9×	27 0.2×	56	796
Huisi Wu China	20	497 0.7×	860 1.3×	557 1.6×	112 0.4×	153 1.0×	76	1.6k
Étienne Decencière France	21	1.6k 2.2×	1.1k 1.7×	313 0.9×	1.0k 3.9×	91 0.6×	65	2.5k
John Arévalo Colombia	13	483 0.7×	367 0.6×	705 2.0×	45 0.2×	93 0.6×	30	1.0k

Countries citing papers authored by Qiangguo Jin

Since Specialization

Citations

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

Fields of papers citing papers by Qiangguo Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiangguo Jin

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

Xuan, Ping, et al.. (2025). Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects. Journal of Chemical Information and Modeling. 65(10). 5124–5138. 2 indexed citations

Deng, Yuan, et al.. (2025). Gaussian process regression for evolutionary dynamic multiobjective optimization in complex environments. Swarm and Evolutionary Computation. 94. 101883–101883. 1 indexed citations

Yi, Hai-Cheng, et al.. (2025). Three-dimensional geometric deep learning for reaction prediction with equivariant graph transformer. Engineering Applications of Artificial Intelligence. 163. 112850–112850.

Peng, Shaoliang, et al.. (2025). CNAScope: pan-cancer copy number aberration database with functional annotation and interactive visualization. Nucleic Acids Research. 54(D1). D1364–D1375. 1 indexed citations

Zhou, Li, Zhexin Chen, Ping Xuan, et al.. (2025). ERSR: An Ellipse-constrained pseudo-label refinement and symmetric regularization framework for semi-supervised fetal head segmentation in ultrasound images. IEEE Journal of Biomedical and Health Informatics. PP. 1–11. 2 indexed citations

Guo, Fei, et al.. (2025). RetinaDA: a diverse dataset for domain adaptation in retinal vessel segmentation. Frontiers of Computer Science. 19(8). 1 indexed citations

Jin, Qiangguo, Arthur S. H. Wu, Leyi Wei, et al.. (2025). PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network. Engineering Applications of Artificial Intelligence. 160. 111743–111743.

Jin, Qiangguo, Hui Cui, Junbo Wang, et al.. (2025). Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. Knowledge-Based Systems. 324. 113785–113785. 7 indexed citations

Cui, Hui, Qiangguo Jin, Xixi Wu, et al.. (2024). Evolving graph convolutional network with transformer for CT segmentation. Applied Soft Computing. 165. 112069–112069. 3 indexed citations

10.

Su, Ran, et al.. (2024). TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes. 363–368. 1 indexed citations

11.

Jin, Qiangguo, et al.. (2024). Retinal Vessel Segmentation via Cross-attention Feature Fusion. 1–6. 2 indexed citations

12.

Cao, Leilei, et al.. (2023). Lightweight Strawberry Instance Segmentation on Low-Power Devices for Picking Robots. Electronics. 12(14). 3145–3145. 8 indexed citations

13.

Jin, Qiangguo, Hui Cui, Changming Sun, et al.. (2023). Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Systems with Applications. 238. 122093–122093. 24 indexed citations

14.

Xuan, Ping, et al.. (2022). Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1480–1491. 6 indexed citations

15.

Xuan, Ping, Xixi Wu, Hui Cui, et al.. (2022). Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation. Applied Soft Computing. 133. 109905–109905. 6 indexed citations

16.

Xuan, Ping, Bin Jiang, Hui Cui, et al.. (2022). Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. Computer Methods and Programs in Biomedicine. 226. 107147–107147. 9 indexed citations

17.

Su, Ran, et al.. (2021). Identification of glioblastoma molecular subtype and prognosis based on deep MRI features. Knowledge-Based Systems. 232. 107490–107490. 18 indexed citations

18.

Jin, Qiangguo, Zhaopeng Meng, Changming Sun, Hui Cui, & Ran Su. (2020). RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans. Frontiers in Bioengineering and Biotechnology. 8. 605132–605132. 318 indexed citations breakdown →

19.

Su, Ran, et al.. (2019). Fusing convolutional neural network features with hand-crafted features for osteoporosis diagnoses. Neurocomputing. 385. 300–309. 48 indexed citations

20.

Zhao, Rui, et al.. (2017). SOMR: Towards a Security-Oriented MapReduce Infrastructure. 13. 530–537. 6 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.

Explore authors with similar magnitude of impact