Zhengang Jiang

755 total citations
99 papers, 486 citations indexed

About

Zhengang Jiang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Zhengang Jiang has authored 99 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 27 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Artificial Intelligence. Recurrent topics in Zhengang Jiang's work include Medical Image Segmentation Techniques (17 papers), Advanced Neural Network Applications (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Zhengang Jiang is often cited by papers focused on Medical Image Segmentation Techniques (17 papers), Advanced Neural Network Applications (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Zhengang Jiang collaborates with scholars based in China, Japan and Saudi Arabia. Zhengang Jiang's co-authors include Weili Shi, Huamin Yang, Fei Yan, Abdullah M. Iliyasu, Yu Miao, Bai Ji, Yuqin Li, Zhihua Li, Guoxun Zheng and Jianhua Liu and has published in prestigious journals such as IEEE Access, Sensors and Medical Physics.

In The Last Decade

Zhengang Jiang

83 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengang Jiang China 11 182 173 134 84 43 99 486
Shanlin Sun China 10 172 0.9× 228 1.3× 170 1.3× 92 1.1× 30 0.7× 47 736
Jintai Chen China 14 267 1.5× 310 1.8× 165 1.2× 80 1.0× 45 1.0× 38 701
Pu Huang China 13 133 0.7× 192 1.1× 163 1.2× 55 0.7× 46 1.1× 29 445
Anne C. Elster Norway 10 96 0.5× 192 1.1× 87 0.6× 50 0.6× 40 0.9× 50 501
Kamil Říha Czechia 14 119 0.7× 328 1.9× 237 1.8× 103 1.2× 73 1.7× 66 665
D. R. Sarvamangala India 3 194 1.1× 133 0.8× 207 1.5× 70 0.8× 46 1.1× 5 541
Liyang Wei United States 10 349 1.9× 260 1.5× 196 1.5× 66 0.8× 63 1.5× 25 581
Klaus D. Toennies Germany 11 124 0.7× 378 2.2× 145 1.1× 82 1.0× 38 0.9× 40 630

Countries citing papers authored by Zhengang Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Zhengang Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengang Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengang Jiang. A scholar is included among the top collaborators of Zhengang 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 Zhengang Jiang. Zhengang 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.
Yang, Huamin, et al.. (2024). Improved shape-from-template method with perspective space constraints for disappearing features. Complex & Intelligent Systems. 10(4). 5475–5488.
2.
Shi, Weili, et al.. (2024). MS-TCNet: An effective Transformer–CNN combined network using multi-scale feature learning for 3D medical image segmentation. Computers in Biology and Medicine. 170. 108057–108057. 22 indexed citations
3.
Shi, Weili, et al.. (2024). Intra-modality masked image modeling: A self-supervised pre-training method for brain tumor segmentation. Biomedical Signal Processing and Control. 95. 106343–106343. 4 indexed citations
4.
Jiang, Zhengang, et al.. (2024). Semi-Supervised Hyperspectral Image Classification Based on Multiscale Spectral–Spatial Graph Attention Network. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
5.
Zhang, Guangzhi, et al.. (2023). Robust feature matching for VSLAM in non-rigid scenes. 118–118.
6.
Li, Zhihua, Yanfang Li, Miao Yu, et al.. (2023). A Novel Multi-Scale Channel Attention-Guided Neural Network for Brain Stroke Lesion Segmentation. IEEE Access. 11. 66050–66062. 3 indexed citations
7.
Li, Zhihua, et al.. (2023). COVID19-ResCapsNet: A Novel Residual Capsule Network for COVID-19 Detection from Chest X-Ray Scans Images. IEEE Access. 1–1. 3 indexed citations
8.
Han, Jia-Jun, et al.. (2023). Monocular depth estimation based on Chained Residual Pooling and Gradient Weighted Loss. 278–282. 1 indexed citations
9.
Shi, Weili, et al.. (2023). An Automatic and Robust Visual SLAM Method for Intra-Abdominal Environment Reconstruction. Journal of Advanced Computational Intelligence and Intelligent Informatics. 27(6). 1216–1229. 2 indexed citations
10.
Li, Zhihua, et al.. (2023). CO-RCNet: Optimized ResCapsNet for COVID-19 Detection from chest CT scan images. 12–16. 1 indexed citations
11.
Zhang, Hua, et al.. (2023). Semantic Segmentation of High-Resolution Remote Sensing Images with Improved U-Net Based on Transfer Learning. International Journal of Computational Intelligence Systems. 16(1). 15 indexed citations
12.
Zhang, Min, et al.. (2023). Transformer‐based 2D/3D medical image registration for X‐ray to CT via anatomical features. International Journal of Medical Robotics and Computer Assisted Surgery. 20(1). e2619–e2619. 1 indexed citations
13.
Jiang, Zhengang, et al.. (2022). Toward Dynamic Pricing for City-Wide Crowdsourced Instant Delivery Services. IEEE Transactions on Mobile Computing. 23(1). 909–924. 4 indexed citations
14.
Shi, Weili, et al.. (2022). DAFLNet: Dual Asymmetric Feature Learning Network for COVID-19 Disease Diagnosis in X-Rays. Computational and Mathematical Methods in Medicine. 2022. 1–13. 1 indexed citations
15.
Shi, Weili, et al.. (2021). A Segmentation Method of Foramen Ovale Based on Multiatlas. Computational and Mathematical Methods in Medicine. 2021. 1–10.
16.
Li, Yuqin, et al.. (2021). A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network. Computational and Mathematical Methods in Medicine. 2021. 1–11. 21 indexed citations
17.
Miao, Yu, Weili Shi, Zhengang Jiang, et al.. (2020). Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration. Computational and Mathematical Methods in Medicine. 2020. 1–16. 1 indexed citations
18.
Yang, Huamin, et al.. (2017). A Study of Multilevel Banded Graph Cuts for Three-Dimensional Colon Tissue Segmentation. International Journal of Pattern Recognition and Artificial Intelligence. 31(9). 1755012–1755012. 1 indexed citations
19.
Jiang, Zhengang, et al.. (2017). Research on Relationship between Rotor Profiles and Meshing Lines in Twin-screw Compressors. Zhongguo jixie gongcheng. 28(7). 763. 1 indexed citations
20.
Zhao, Jun, et al.. (2009). Comparison of Optical Sparse Aperture Image Restoration with Experimental PSF and Designed PSF. Advanced Maui Optical and Space Surveillance Technologies Conference. 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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