Jia Gu

509 total citations
35 papers, 332 citations indexed

About

Jia Gu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Jia Gu has authored 35 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Jia Gu's work include Medical Image Segmentation Techniques (10 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Vision and Imaging (4 papers). Jia Gu is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Vision and Imaging (4 papers). Jia Gu collaborates with scholars based in China, Macao and United States. Jia Gu's co-authors include Yongbin Gao, Zhijun Fang, Lei Xing, Wenjian Qin, Yixuan Yuan, Jia Wu, Bulat Ibragimov, Wei Zhao, Fei Han and Hamido Fujita and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and Physics in Medicine and Biology.

In The Last Decade

Jia Gu

31 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jia Gu China	10	165	114	64	51	39	35	332
Dzhoshkun I. Shakir United Kingdom	9	160 1.0×	221 1.9×	131 2.0×	105 2.1×	19 0.5×	22	532
A. Mosquera Spain	12	111 0.7×	215 1.9×	109 1.7×	32 0.6×	23 0.6×	34	466
Defu Qiu China	13	279 1.7×	172 1.5×	45 0.7×	106 2.1×	153 3.9×	21	493
Chaolu Feng China	15	297 1.8×	217 1.9×	91 1.4×	60 1.2×	69 1.8×	53	505
Mingquan Lin United States	11	102 0.6×	163 1.4×	117 1.8×	32 0.6×	11 0.3×	48	397
Bartłomiej W. Papież United Kingdom	12	249 1.5×	258 2.3×	57 0.9×	112 2.2×	13 0.3×	38	458
Lucas Fidon United Kingdom	6	138 0.8×	216 1.9×	131 2.0×	84 1.6×	9 0.2×	13	447
Rupert Brooks Canada	9	113 0.7×	119 1.0×	72 1.1×	67 1.3×	9 0.2×	23	282
Laura Reden United States	7	296 1.8×	154 1.4×	55 0.9×	46 0.9×	24 0.6×	9	411

Countries citing papers authored by Jia Gu

Since Specialization

Citations

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

Fields of papers citing papers by Jia Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Gu

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

Li, Jingzhen, et al.. (2025). KAleep-Net: A Kolmogorov-Arnold Flash Attention Network for Sleep Stage Classification Using Single-Channel EEG With Explainability. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 3685–3696.

Tan, Jun, Bin Miao, Dongfang Xu, et al.. (2025). Advances of nanopore direct sequencing technology and bioinformatics analysis for cell-free DNA detection and its clinical applications in cancer liquid biopsy. Frontiers in Molecular Biosciences. 12. 1662587–1662587.

Gu, Jia, et al.. (2025). The Method of Minimal Residual Disease Detection With Circulating Tumor DNA and Its Clinical Applications in Colorectal Cancer. Cancer Reports. 8(3). e70167–e70167. 1 indexed citations

Zhang, Qian, et al.. (2025). ASR-NeSurf: Alleviating structural redundancy in neural surface reconstruction for deformable endoscopic tissues by validity probability. Displays. 88. 103000–103000.

Tong, Wei, Shingo Nakayamada, Shan Yu, et al.. (2024). Amelioration of immunoglobulin A vasculitis by suppression of the pathological expansion of T follicular helper 17 cells. Journal of Autoimmunity. 149. 103304–103304. 3 indexed citations

Xiong, Bing, Peng Yue, Jingke Zhu, et al.. (2024). AGWNet: Attention-guided adaptive shuffle channel gate warped feature network for indoor scene RGB-D semantic segmentation. Displays. 83. 102730–102730. 2 indexed citations

Gu, Jia, et al.. (2024). RAMIS: Increasing robustness and accuracy in medical image segmentation with hybrid CNN-transformer synergy. Neurocomputing. 618. 129009–129009. 2 indexed citations

Li, Xingyi, et al.. (2024). Towards simplified graph neural networks for identifying cancer driver genes in heterophilic networks. Briefings in Bioinformatics. 26(1). 4 indexed citations

Gu, Jia, et al.. (2024). Quantitative assessment and correlational analysis of subjective and objective indicators in patients with allergic rhinitis. Asia Pacific Allergy. 14(2). 45–55.

10.

Zhu, Hua, Jia Gu, Rui Wang, et al.. (2023). Identification of key genes and imbalance of immune cell infiltration in immunoglobulin A associated vasculitis nephritis by integrated bioinformatic analysis. Frontiers in Immunology. 14. 1087293–1087293. 3 indexed citations

11.

Gu, Jia, et al.. (2023). Celastrol functions as an emerging manager of lipid metabolism: Mechanism and therapeutic potential. Biomedicine & Pharmacotherapy. 164. 114981–114981. 18 indexed citations

12.

Gu, Jia, et al.. (2023). Correlations between IL-36 family cytokines in peripheral blood and subjective and objective assessment results in patients with allergic rhinitis. Allergy Asthma and Clinical Immunology. 19(1). 79–79. 3 indexed citations

13.

Li, Peng, Boxun Liu, Xiaoguang Wu, et al.. (2022). Perirenal adipose afferent nerves sustain pathological high blood pressure in rats. Nature Communications. 13(1). 3130–3130. 29 indexed citations

14.

Xuan, Lei, et al.. (2022). Prognostic value of receptor tyrosine kinases in malignant melanoma patients: A systematic review and meta-analysis of immunohistochemistry. Frontiers in Oncology. 12. 819051–819051. 3 indexed citations

15.

Gao, Yongbin, Zhijun Fang, Yuming Fang, et al.. (2021). Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 1751–1766. 44 indexed citations

16.

Gao, Yongbin, et al.. (2021). 3D reconstruction with auto-selected keyframes based on depth completion correction and pose fusion. Journal of Visual Communication and Image Representation. 79. 103199–103199. 6 indexed citations

17.

Gu, Jia, et al.. (2020). Segmentation of coronary arteries images using global feature embedded network with active contour loss. Computerized Medical Imaging and Graphics. 86. 101799–101799. 22 indexed citations

18.

Qin, Wenjian, Jia Wu, Fei Han, et al.. (2018). Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation. Physics in Medicine and Biology. 63(9). 95017–95017. 76 indexed citations

19.

Luo, Qing, Wenjian Qin, & Jia Gu. (2013). Kernel Graph Cuts Segmentation for MR Images with Intensity Inhomogeneity Correction. Applied Mechanics and Materials. 333-335. 938–943. 2 indexed citations

20.

Li, Zhicheng, et al.. (2012). Three dimensional ultrasound guided percutaneous renal puncture: A phantom study. 683–686. 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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