Zhencun Jiang

425 total citations · 1 hit paper
10 papers, 312 citations indexed

About

Zhencun Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhencun Jiang has authored 10 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhencun Jiang's work include Image and Signal Denoising Methods (2 papers), Digital Imaging for Blood Diseases (2 papers) and Advanced Image Processing Techniques (2 papers). Zhencun Jiang is often cited by papers focused on Image and Signal Denoising Methods (2 papers), Digital Imaging for Blood Diseases (2 papers) and Advanced Image Processing Techniques (2 papers). Zhencun Jiang collaborates with scholars based in China. Zhencun Jiang's co-authors include Wenping Jiang, Cuixia Dai, Meixiao Shen, Yilei Shao, Yang Yu, Zhongjie Wang, Junying Min, Zhonghui Wang, Linqing Huang and Kefan Wang and has published in prestigious journals such as Neurocomputing, Computers and Electronics in Agriculture and Computer Methods and Programs in Biomedicine.

In The Last Decade

Zhencun Jiang

7 papers receiving 301 citations

Hit Papers

Recognition of rice leaf diseases and wheat leaf diseases... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhencun Jiang China 5 159 95 78 76 72 10 312
Hussam Ali Pakistan 7 169 1.1× 79 0.8× 123 1.6× 126 1.7× 46 0.6× 8 415
Ehsan Kozegar Iran 10 125 0.8× 49 0.5× 131 1.7× 156 2.1× 194 2.7× 26 421
Md. Jueal Mia Bangladesh 10 108 0.7× 44 0.5× 35 0.4× 22 0.3× 35 0.5× 22 238
Aboul Ella Hassenian Egypt 6 118 0.7× 67 0.7× 76 1.0× 67 0.9× 109 1.5× 7 315
M. Hariharan India 7 359 2.3× 147 1.5× 76 1.0× 140 1.8× 117 1.6× 14 597
Alfonso Medela Spain 8 225 1.4× 67 0.7× 37 0.5× 53 0.7× 81 1.1× 15 402
Sherif E. Abdelhamid United States 6 119 0.7× 59 0.6× 52 0.7× 86 1.1× 23 0.3× 19 266
Wahyudi Setiawan Indonesia 10 107 0.7× 53 0.6× 37 0.5× 34 0.4× 65 0.9× 41 245
N. Shobha Rani India 9 91 0.6× 38 0.4× 200 2.6× 17 0.2× 55 0.8× 72 336
Md Tanzim Reza Bangladesh 10 80 0.5× 21 0.2× 57 0.7× 55 0.7× 132 1.8× 46 320

Countries citing papers authored by Zhencun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Zhencun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhencun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhencun Jiang. A scholar is included among the top collaborators of Zhencun 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 Zhencun Jiang. Zhencun Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Jiang, Zhencun, et al.. (2025). Blind super-resolution for handheld ultrasound image: Two-stage degradation based unpaired deep learning. Computer Methods and Programs in Biomedicine. 270. 108956–108956.
2.
Huang, Linqing, et al.. (2025). MDiffSR: Mutual information and diffusion model in image super-resolution. Neurocomputing. 642. 130372–130372.
3.
Jiang, Zhencun, et al.. (2023). Breast TransFG Plus: Transformer-based fine-grained classification model for breast cancer grading in Hematoxylin-Eosin stained pathological images. Biomedical Signal Processing and Control. 86. 105284–105284. 5 indexed citations
4.
Jiang, Zhencun, et al.. (2023). A multi-class partial hinge loss for partial label learning. Applied Intelligence. 53(23). 28333–28348. 2 indexed citations
5.
Jiang, Zhencun, et al.. (2021). Research on fire detection of improved VGG16 image recognition based on deep learning. Fire Science and Technology. 40(3). 375. 2 indexed citations
6.
Jiang, Wenping & Zhencun Jiang. (2021). Research on early fire detection of Yolo V5 based on multiple transfer learning. Fire Science and Technology. 40(1). 109. 13 indexed citations
7.
Jiang, Zhencun, et al.. (2021). Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT‐CNN Ensemble Model. Computational Intelligence and Neuroscience. 2021(1). 7529893–7529893. 78 indexed citations
8.
Jiang, Zhencun, et al.. (2021). Computer-aided diagnosis of retinopathy based on vision transformer. Journal of Innovative Optical Health Sciences. 15(2). 38 indexed citations
9.
Jiang, Zhencun, et al.. (2021). Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning. Computers and Electronics in Agriculture. 186. 106184–106184. 173 indexed citations breakdown →
10.
Jiang, Wenping, et al.. (2021). Application of Characteristic Model-Based Principal Component Analysis in Optimization of Flowmeter Parameters. Mathematical Problems in Engineering. 2021. 1–9. 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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