Yanjun Peng

2.5k total citations
108 papers, 1.8k citations indexed

About

Yanjun Peng is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yanjun Peng has authored 108 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 31 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Artificial Intelligence. Recurrent topics in Yanjun Peng's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Advanced Neural Network Applications (17 papers) and AI in cancer detection (17 papers). Yanjun Peng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Advanced Neural Network Applications (17 papers) and AI in cancer detection (17 papers). Yanjun Peng collaborates with scholars based in China, United States and Hong Kong. Yanjun Peng's co-authors include Peter W. Tse, Richard C.M. Yam, Yanfei Guo, Lingmei Ren, Dapeng Li, Jeng‐Shyang Pan, Shu‐Chuan Chu, Xinming Lu, Ning Zhao and Pei-Cheng Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Yanjun Peng

97 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanjun Peng China 21 538 343 335 320 276 108 1.8k
Zhiqin Zhu China 32 2.1k 3.9× 554 1.6× 824 2.5× 315 1.0× 304 1.1× 136 4.3k
Yuhu Cheng China 24 577 1.1× 725 2.1× 383 1.1× 156 0.5× 132 0.5× 169 2.0k
Hongjun Wang China 18 358 0.7× 316 0.9× 89 0.3× 103 0.3× 217 0.8× 92 1.5k
Peishu Wu China 18 572 1.1× 442 1.3× 92 0.3× 92 0.3× 181 0.7× 39 1.4k
P. Nagaraj India 23 227 0.4× 363 1.1× 65 0.2× 119 0.4× 150 0.5× 135 1.4k
Józef Korbicz Poland 21 201 0.4× 574 1.7× 839 2.5× 240 0.8× 160 0.6× 122 1.4k
Xiangbin Liu China 13 357 0.7× 293 0.9× 138 0.4× 38 0.1× 277 1.0× 63 998
Zeyi Huang United States 10 522 1.0× 290 0.8× 201 0.6× 84 0.3× 55 0.2× 27 1.3k
Syamsiah Mashohor Malaysia 22 1.0k 1.9× 623 1.8× 54 0.2× 50 0.2× 718 2.6× 96 1.9k
Zhijing Yang China 21 559 1.0× 350 1.0× 222 0.7× 162 0.5× 28 0.1× 126 1.6k

Countries citing papers authored by Yanjun Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjun Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjun Peng. A scholar is included among the top collaborators of Yanjun Peng 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 Yanjun Peng. Yanjun Peng 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.
Peng, Yanjun, et al.. (2025). Hierarchical multi-scale Mamba generative adversarial network for multi-modal medical image synthesis. Expert Systems with Applications. 280. 127451–127451. 1 indexed citations
3.
Zhang, Zeng-Min, et al.. (2025). AMOTS: Partially supervised framework for abdominal multi-organ and tumor segmentation via aspect-aware complementary. Artificial Intelligence in Medicine. 168. 103224–103224.
4.
Peng, Yanjun, et al.. (2024). The cross-modality survival prediction method of glioblastoma based on dual-graph neural networks. Expert Systems with Applications. 254. 124394–124394. 6 indexed citations
5.
Peng, Yanjun, et al.. (2024). MSA-Net: Multi-scale feature fusion network with enhanced attention module for 3D medical image segmentation. Computers & Electrical Engineering. 120. 109654–109654. 8 indexed citations
6.
Chen, Xue & Yanjun Peng. (2024). Counterfactual condition diffusion with continuous prior adaptive correction for anomaly detection in multimodal brain MRI. Expert Systems with Applications. 254. 124295–124295. 5 indexed citations
7.
Li, Dapeng, et al.. (2023). A task-unified network with transformer and spatial–temporal convolution for left ventricular quantification. Scientific Reports. 13(1). 13529–13529. 1 indexed citations
8.
Peng, Yanjun, et al.. (2023). MFF-Net: Multiscale Feature Fusion Network for Skin Lesion Segmentation. 3473–3479. 1 indexed citations
9.
Peng, Yanjun, et al.. (2023). Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation. Medical & Biological Engineering & Computing. 61(10). 2713–2732. 2 indexed citations
10.
Peng, Yanjun, et al.. (2022). MRBENet: A Multiresolution Boundary Enhancement Network for Salient Object Detection. Computational Intelligence and Neuroscience. 2022. 1–11. 2 indexed citations
11.
Zhang, Hui, Yanjun Peng, & Yanfei Guo. (2022). Pulmonary nodules detection based on multi-scale attention networks. Scientific Reports. 12(1). 1466–1466. 18 indexed citations
12.
Chu, Shu‐Chuan, et al.. (2021). Fuzzy Hierarchical Surrogate Assists Probabilistic Particle Swarm Optimization for expensive high dimensional problem. Knowledge-Based Systems. 220. 106939–106939. 41 indexed citations
13.
Peng, Yanjun, et al.. (2021). Test and analysis of mechanical characteristics of circuit breakers. 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST). 1832–1836. 2 indexed citations
14.
Peng, Yanjun, et al.. (2020). Sparse-to-Dense Multi-Encoder Shape Completion of Unstructured Point Cloud. IEEE Access. 8. 30969–30978. 13 indexed citations
15.
Gao, Wenli, Xinming Lu, Yanjun Peng, & Liang Wu. (2020). A Deep Learning Approach Replacing the Finite Difference Method for In Situ Stress Prediction. IEEE Access. 8. 44063–44074. 15 indexed citations
16.
Zhang, Xiaoqing, et al.. (2020). An improved architecture for urban building extraction based on depthwise separable convolution. Journal of Intelligent & Fuzzy Systems. 38(5). 5821–5829. 6 indexed citations
17.
Guo, Yanfei & Yanjun Peng. (2020). BSCN: bidirectional symmetric cascade network for retinal vessel segmentation. BMC Medical Imaging. 20(1). 20–20. 18 indexed citations
18.
Zhang, Mengqi, Qian Wang, Zhanjiang Wang, Ning Zhao, & Yanjun Peng. (2019). Multiscale computational scheme for semi-analytical modeling of the point contact of inhomogeneous materials. International Journal of Solids and Structures. 168. 90–108. 7 indexed citations
19.
Wang, Ning, et al.. (2018). Skin Lesion Image Segmentation Based on Adversarial Networks. KSII Transactions on Internet and Information Systems. 12(6). 5 indexed citations
20.
Wang, Zhigong, et al.. (2008). A 2GHz Power Amplifier Realized in IBM SiGe BiCMOS Technology 5PAe. Journal of Semiconductors. 29(11). 2101–2105. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhiqin Zhu Breakdown of academic impact, for papers by Yuhu Cheng Breakdown of academic impact, for papers by Hongjun Wang Breakdown of academic impact, for papers by Peishu Wu Breakdown of academic impact, for papers by P. Nagaraj Breakdown of academic impact, for papers by Józef Korbicz Breakdown of academic impact, for papers by Xiangbin Liu Breakdown of academic impact, for papers by Zeyi Huang Breakdown of academic impact, for papers by Syamsiah Mashohor Breakdown of academic impact, for papers by Zhijing Yang
Rankless by CCL
2026