Zhe Jiang

683 total citations
22 papers, 498 citations indexed

About

Zhe Jiang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhe Jiang has authored 22 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhe Jiang's work include Optical Coherence Tomography Applications (8 papers), Retinal Imaging and Analysis (8 papers) and Image and Signal Denoising Methods (3 papers). Zhe Jiang is often cited by papers focused on Optical Coherence Tomography Applications (8 papers), Retinal Imaging and Analysis (8 papers) and Image and Signal Denoising Methods (3 papers). Zhe Jiang collaborates with scholars based in China, Germany and Ethiopia. Zhe Jiang's co-authors include Qiushi Ren, Yanye Lu, Xiangxi Meng, Zhiyu Huang, Bin Qiu, Haiyan Wang, Xiaohong Shen, Kun Yang, Gangjun Liu and Andreas Maier and has published in prestigious journals such as Applied Physics Letters, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Zhe Jiang

21 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhe Jiang China 13 238 228 132 58 42 22 498
Pedro Serranho Portugal 14 306 1.3× 339 1.5× 152 1.2× 228 3.9× 46 1.1× 52 743
Bin Qiu China 15 186 0.8× 218 1.0× 381 2.9× 45 0.8× 125 3.0× 44 758
José Silvestre Silva Portugal 12 144 0.6× 84 0.4× 144 1.1× 26 0.4× 23 0.5× 48 504
Daniel Kondermann Germany 11 128 0.5× 49 0.2× 370 2.8× 69 1.2× 58 1.4× 24 574
Zexin Lu China 13 312 1.3× 294 1.3× 212 1.6× 16 0.3× 124 3.0× 22 617
Jianan Chen China 10 224 0.9× 98 0.4× 254 1.9× 10 0.2× 66 1.6× 32 580
Qianjing Feng China 7 526 2.2× 392 1.7× 282 2.1× 17 0.3× 43 1.0× 11 729
Shaofeng Jiang China 13 117 0.5× 47 0.2× 286 2.2× 45 0.8× 66 1.6× 60 623
Benoît Naegel France 13 74 0.3× 45 0.2× 244 1.8× 12 0.2× 59 1.4× 35 381
Yicheng Wu China 12 325 1.4× 128 0.6× 392 3.0× 130 2.2× 86 2.0× 32 775

Countries citing papers authored by Zhe Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Zhe Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhe Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Jiang. A scholar is included among the top collaborators of Zhe Jiang 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 Zhe Jiang. Zhe Jiang 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.
2.
Gao, Mengdi, Hongyang Jiang, Lei Zhu, et al.. (2023). Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis. Medical Image Analysis. 89. 102884–102884. 8 indexed citations
3.
Meng, Xiangxi, Lei Zhu, Zhe Jiang, et al.. (2022). Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography. IEEE Transactions on Medical Imaging. 41(11). 3357–3372. 26 indexed citations
4.
Jiang, Zhe, Zhiyu Huang, Xiangxi Meng, et al.. (2022). Rethinking the neighborhood information for deep learning‐based optical coherence tomography angiography. Medical Physics. 49(6). 3705–3716. 3 indexed citations
5.
Meng, Xiangxi, Jiangyuan Yu, Lei Zhu, et al.. (2021). Content-Noise Complementary Learning for Medical Image Denoising. IEEE Transactions on Medical Imaging. 41(2). 407–419. 111 indexed citations
6.
Jiang, Zhe, Yan Xia, Kun Yang, et al.. (2020). PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography. IEEE Transactions on Medical Imaging. 40(2). 571–584. 14 indexed citations
7.
Jiang, Zhe, Zhiyu Huang, Bin Qiu, et al.. (2020). Comparative study of deep learning models for optical coherence tomography angiography. Biomedical Optics Express. 11(3). 1580–1580. 39 indexed citations
8.
Qiu, Bin, Zhiyu Huang, Xiangxi Meng, et al.. (2020). N2NSR‐OCT: Simultaneous denoising and super‐resolution in optical coherence tomography images using semisupervised deep learning. Journal of Biophotonics. 14(1). e202000282–e202000282. 38 indexed citations
9.
Jiang, Zhe, Zhiyu Huang, Bin Qiu, et al.. (2020). Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography. IEEE Transactions on Medical Imaging. 40(2). 688–698. 26 indexed citations
10.
Jiang, Zhe, Da Zou, Yue Yu, et al.. (2020). Retinal choroidal vessel imaging based on multi-wavelength fundus imaging with the guidance of optical coherence tomography. Biomedical Optics Express. 11(9). 5212–5212. 7 indexed citations
11.
Shen, Xiaohong, et al.. (2020). Recognition of imbalanced underwater acoustic datasets with exponentially weighted cross-entropy loss. Applied Acoustics. 174. 107740–107740. 39 indexed citations
12.
Jiang, Zhe, Zekuan Yu, Yue Yu, et al.. (2019). Spatial resolution enhancement for pushbroom-based microscopic hyperspectral imaging. Applied Optics. 58(4). 850–850. 4 indexed citations
13.
Huang, Zhiyu, Zhenzhou Wang, Zhe Jiang, et al.. (2019). A deep learning based pipeline for optical coherence tomography angiography. Journal of Biophotonics. 12(10). e201900008–e201900008. 35 indexed citations
14.
Jiang, Zhe, Zekuan Yu, Zhiyu Huang, et al.. (2018). A super-resolution method-based pipeline for fundus fluorescein angiography imaging. BioMedical Engineering OnLine. 17(1). 125–125. 18 indexed citations
15.
Zhang, Dandan, et al.. (2016). Load shedding strategy coordinate optimization based on sensitivity analysis. 1893–1897. 6 indexed citations
16.
Jiang, Zhe, et al.. (2016). New actuator disk model for propeller-aircraft computation. Science China Technological Sciences. 59(8). 1201–1207. 2 indexed citations
17.
Bao, Na, et al.. (2015). High-throughput MQ encoder for pass-parallel EBCOT in JPEG2000. 410–414. 3 indexed citations
18.
Cao, Ping, et al.. (2015). Influence of confining stress on fracture characteristics and cutting efficiency of TBM cutters conducted on soft and hard rock. Journal of Central South University. 22(5). 1947–1955. 21 indexed citations
19.
Yu, Shuang, Qunzhi Chen, Jiahui Liu, et al.. (2015). Dielectric barrier structure with hollow electrodes and its recoil effect. Applied Physics Letters. 106(24). 34 indexed citations
20.
Wang, Qifeng, Zhe Jiang, & Qunfeng Zhang. (2014). Regionalized Actuator Disk Model Designed by Optimization Method for Propeller Slipstream Computation. Engineering Applications of Computational Fluid Mechanics. 8(1). 127–139. 5 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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