Jinyu Cong

546 total citations
20 papers, 310 citations indexed

About

Jinyu Cong is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jinyu Cong has authored 20 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Cognitive Neuroscience. Recurrent topics in Jinyu Cong's work include Medical Image Segmentation Techniques (3 papers), Functional Brain Connectivity Studies (3 papers) and COVID-19 diagnosis using AI (3 papers). Jinyu Cong is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), Functional Brain Connectivity Studies (3 papers) and COVID-19 diagnosis using AI (3 papers). Jinyu Cong collaborates with scholars based in China, Canada and Macao. Jinyu Cong's co-authors include Benzheng Wei, Yanfei Hong, Tianyang Li, Zhongyi Han, Haifeng Wei, Wei Zhang, Yuanjie Zheng, Shuo Li, Tongtong Che and Yanhui Ding and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Journal of Affective Disorders.

In The Last Decade

Jinyu Cong

19 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinyu Cong China	7	217	144	68	53	27	20	310
Yanfei Hong China	5	236 1.1×	196 1.4×	70 1.0×	53 1.0×	28 1.0×	6	319
Tianyang Li China	6	196 0.9×	135 0.9×	48 0.7×	53 1.0×	33 1.2×	16	281
Fanjie Kong China	5	167 0.8×	160 1.1×	71 1.0×	35 0.7×	23 0.9×	14	299
Anouk Stein United States	6	186 0.9×	114 0.8×	49 0.7×	46 0.9×	47 1.7×	9	257
Rajagopala Chadaga India	9	113 0.5×	139 1.0×	68 1.0×	41 0.8×	19 0.7×	21	295
Ruobing Huang China	10	162 0.7×	167 1.2×	88 1.3×	29 0.5×	16 0.6×	29	316
Satyananda Kashyap United States	8	156 0.7×	87 0.6×	54 0.8×	56 1.1×	41 1.5×	18	276
Hayden Gunraj Canada	6	283 1.3×	190 1.3×	48 0.7×	53 1.0×	38 1.4×	11	317
Jiayu Huo China	9	352 1.6×	189 1.3×	61 0.9×	91 1.7×	71 2.6×	18	495

Countries citing papers authored by Jinyu Cong

Since Specialization

Citations

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

Fields of papers citing papers by Jinyu Cong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Cong

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

Deng, Dan, et al.. (2025). Machine learning-based analysis of factors influencing surgical duration in type A aortic dissection. Frontiers in Public Health. 13. 1682339–1682339.

Wang, Pingping, et al.. (2025). An enhanced visual state space model for myocardial pathology segmentation in multi‐sequence cardiac MRI. Medical Physics. 52(6). 4355–4370. 1 indexed citations

Liu, Yangyu, Pu Ge, Xiaoming Zhang, et al.. (2024). Intrarelationships between suboptimal health status and anxiety symptoms: A network analysis. Journal of Affective Disorders. 354. 679–687. 7 indexed citations

Zhang, Xiaoming, et al.. (2024). The global patent landscape of emerging infectious disease monkeypox. BMC Infectious Diseases. 24(1). 403–403. 3 indexed citations

Cong, Jinyu, et al.. (2024). MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation. IEEE Journal of Biomedical and Health Informatics. 28(8). 4772–4784. 2 indexed citations

Cong, Jinyu, et al.. (2023). Aberrant intrinsic functional brain topology in methamphetamine-dependent individuals after six-months of abstinence. Mathematical Biosciences & Engineering. 20(11). 19565–19583. 2 indexed citations

Wang, Pingping, et al.. (2023). A Multi-model Fusion Model for Traditional Chinese Medicine Syndrome Classification of Omicron Patients. 172–177. 1 indexed citations

Wang, Guoli, Pingping Wang, Jinyu Cong, & Benzheng Wei. (2023). MRChexNet: Multi-modal bridge and relational learning for thoracic disease recognition in chest X-rays. Mathematical Biosciences & Engineering. 20(12). 21292–21314. 1 indexed citations

Zhang, Xiaoming, Weijie Chen, Pei-Fen Yao, et al.. (2022). What, Where, When and How of COVID-19 Patents Landscape: A Bibliometrics Review. Frontiers in Medicine. 9. 4 indexed citations

10.

Hong, Yanfei, et al.. (2022). Weakly supervised semantic segmentation for skin cancer via CNN superpixel region response. Multimedia Tools and Applications. 82(5). 6829–6847. 11 indexed citations

11.

Han, Zhongyi, Benzheng Wei, Yanfei Hong, et al.. (2020). Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning. IEEE Transactions on Medical Imaging. 39(8). 2584–2594. 223 indexed citations

12.

Li, Tianyang, Benzheng Wei, Jinyu Cong, Yanfei Hong, & Shuo Li. (2020). Direct estimation of left ventricular ejection fraction via a cardiac cycle feature learning architecture. Computers in Biology and Medicine. 118. 103659–103659. 9 indexed citations

13.

Li, Xiang, Benzheng Wei, Hongyun Wu, Xuzhou Li, & Jinyu Cong. (2020). MwoA auxiliary diagnosis using 3D convolutional neural network. 1–6. 1 indexed citations

14.

Zheng, Yuanjie, et al.. (2020). Joint Deep Matching Model of OCT Retinal Layer Segmentation. Computers, materials & continua/Computers, materials & continua (Print). 63(3). 1485–1498. 1 indexed citations

15.

Zheng, Yuanjie, et al.. (2020). Solving Jigsaw Puzzles via Nonconvex Quadratic Programming With the Projected Power Method. IEEE Transactions on Multimedia. 23. 2310–2320. 5 indexed citations

16.

Cong, Jinyu, et al.. (2019). MA-Shape: Modality Adaptation Shape Regression for Left Ventricle Segmentation on Mixed MR and CT Images. IEEE Access. 7. 16584–16593. 5 indexed citations

17.

Che, Tongtong, Yuanjie Zheng, Jinyu Cong, et al.. (2019). Deep Group-Wise Registration for Multi-Spectral Images From Fundus Images. IEEE Access. 7. 27650–27661. 17 indexed citations

18.

Li, Tianyang, Benzheng Wei, Jinyu Cong, Xuzhou Li, & Shuo Li. (2019). S³egANet: 3D Spinal Structures Segmentation via Adversarial Nets. IEEE Access. 8. 1892–1901. 8 indexed citations

19.

Cong, Jinyu, et al.. (2016). An Improved Model of Nonuniform Coleochaete Cell Division. Journal of Computational Biology. 23(8). 693–709. 2 indexed citations

20.

Cong, Jinyu, Benzheng Wei, Yilong Yin, Xiaoming Xi, & Yuanjie Zheng. (2014). Performance evaluation of simple linear iterative clustering algorithm on medical image processing. Bio-Medical Materials and Engineering. 24(6). 3231–3238. 7 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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