Jiangpeng Yan

1.0k total citations
29 papers, 444 citations indexed

About

Jiangpeng Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiangpeng Yan has authored 29 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiangpeng Yan's work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jiangpeng Yan is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Jiangpeng Yan collaborates with scholars based in China, United States and Hong Kong. Jiangpeng Yan's co-authors include Xiu Li, Zhe Xu, Donghuan Lu, Yefeng Zheng, Raymond Kai‐Yu Tong, Yixin Wang, Jie Luo, Xiangde Luo, Kai Ma and Jianhua Yao and has published in prestigious journals such as Materials Science and Engineering A, IEEE Access and Journal of Materials Science.

In The Last Decade

Jiangpeng Yan

27 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangpeng Yan China 10 182 162 115 54 49 29 444
Andrea Bianchi Brazil 14 265 1.5× 360 2.2× 120 1.0× 65 1.2× 29 0.6× 72 720
Ebenezer Daniel India 10 224 1.2× 79 0.5× 130 1.1× 72 1.3× 26 0.5× 24 534
Jin Yuan China 7 157 0.9× 117 0.7× 26 0.2× 42 0.8× 20 0.4× 10 374
Evandro Ottoni Teatini Salles Brazil 13 218 1.2× 121 0.7× 240 2.1× 25 0.5× 23 0.5× 59 554
Suman Tewary India 13 134 0.7× 111 0.7× 87 0.8× 115 2.1× 11 0.2× 31 493
Yang Wen China 12 127 0.7× 94 0.6× 99 0.9× 37 0.7× 8 0.2× 49 414
Lingling Fang China 13 257 1.4× 129 0.8× 126 1.1× 38 0.7× 88 1.8× 66 506
Hongya Lu United States 11 67 0.4× 90 0.6× 54 0.5× 31 0.6× 21 0.4× 16 338
Osama Farouk Hassan Egypt 7 79 0.4× 108 0.7× 94 0.8× 15 0.3× 52 1.1× 12 303
Xi Shen France 12 363 2.0× 307 1.9× 119 1.0× 97 1.8× 28 0.6× 19 672

Countries citing papers authored by Jiangpeng Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jiangpeng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangpeng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangpeng Yan. A scholar is included among the top collaborators of Jiangpeng Yan 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 Jiangpeng Yan. Jiangpeng Yan 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.
Yan, Jiangpeng, et al.. (2024). Mechanical behavior and underlying mechanism of nickel-based superalloy during coupling electrical pulse and ultrasonic treatment. Materials Science and Engineering A. 911. 146876–146876. 4 indexed citations
3.
Xu, Zhe, Yixin Wang, Donghuan Lu, et al.. (2023). Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. Medical Image Analysis. 88. 102880–102880. 83 indexed citations
4.
Yan, Jiangpeng, et al.. (2023). Coupled effect of pulsed current and ultrasonic vibration on deformation behavior of Inconel 718 sheet: phenomena and modeling. Journal of Materials Research and Technology. 25. 5538–5560. 7 indexed citations
5.
Yan, Jiangpeng, Zhen Yu, Hongxia Xu, et al.. (2023). Discovery of distinct cancer cachexia phenotypes using an unsupervised machine-learning algorithm. Nutrition. 119. 112317–112317. 3 indexed citations
6.
Xu, Zhe, Yixin Wang, Donghuan Lu, et al.. (2022). All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(7). 3174–3184. 58 indexed citations
7.
Xu, Zhe, Donghuan Lu, Jie Luo, et al.. (2022). Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 41(11). 3062–3073. 38 indexed citations
8.
Wang, Kang, Yan‐Jun Xiang, Jiangpeng Yan, et al.. (2022). A deep learning model with incorporation of microvascular invasion area as a factor in predicting prognosis of hepatocellular carcinoma after R0 hepatectomy. Hepatology International. 16(5). 1188–1198. 10 indexed citations
9.
Yan, Jiangpeng, Hanbo Chen, Xiu Li, & Jianhua Yao. (2022). Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis. Computerized Medical Imaging and Graphics. 97. 102053–102053. 29 indexed citations
10.
Yan, Jiangpeng, et al.. (2022). Efficient Continuous Control with Double Actors and Regularized Critics. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7655–7663. 35 indexed citations
11.
Xu, Zhe, Jiangpeng Yan, Jie Luo, et al.. (2021). Unimodal Cyclic Regularization For Training Multimodal Image Registration Networks. PubMed. 2021. 1660–1664. 3 indexed citations
12.
Xu, Zhe, Jie Luo, Jiangpeng Yan, Xiu Li, & Jagadeesan Jayender. (2021). F3RNet: full-resolution residual registration network for deformable image registration. International Journal of Computer Assisted Radiology and Surgery. 16(6). 923–932. 12 indexed citations
13.
Xu, Zhe, Jiangpeng Yan, Jie Luo, Xiu Li, & Jagadeesan Jayender. (2021). Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance. PubMed. 2021. 1225–1229. 5 indexed citations
14.
Luo, Feng, et al.. (2021). Deep-learning based medical image registration pathway: towards unsupervised learning. Journal of Image and Graphics. 26(9). 2037–2057. 1 indexed citations
15.
Wang, Tiancai, et al.. (2021). Implicit Feature Refinement for Instance Segmentation. 3088–3096. 2 indexed citations
16.
Dong, Bin, et al.. (2021). Matting Enhanced Mask R-CNN. 1–6. 5 indexed citations
17.
18.
Yan, Jiangpeng, et al.. (2020). Effect of multi-pass deformation on microstructure evolution of spark plasma sintered TC4 titanium alloy. High Temperature Materials and Processes. 39(1). 328–339. 4 indexed citations
19.
Yan, Jiangpeng, Zhimin Zhang, Jian Xu, et al.. (2020). Microstructure evolution of TC4 powder by spark plasma sintering after hot deformation. High Temperature Materials and Processes. 39(1). 457–465. 5 indexed citations
20.
Li, Xiu, et al.. (2019). TANet: A Tiny Plankton Classification Network for Mobile Devices. Mobile Information Systems. 2019. 1–8. 4 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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