Jialin Peng

1.4k total citations
40 papers, 1.0k citations indexed

About

Jialin Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jialin Peng has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Jialin Peng's work include Medical Image Segmentation Techniques (13 papers), Advanced Neural Network Applications (11 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Jialin Peng is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Advanced Neural Network Applications (11 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Jialin Peng collaborates with scholars based in China, United States and Hong Kong. Jialin Peng's co-authors include De-Xing Kong, Peijun Hu, Fa Wu, Zhimin Yuan, Ping Liang, Ye Wang, Feng Chen, Yuanyuan Bao, Dinggang Shen and Fangfang Dong and has published in prestigious journals such as Nature Communications, IEEE Access and Analytica Chimica Acta.

In The Last Decade

Jialin Peng

39 papers receiving 992 citations

Peers

Countries citing papers authored by Jialin Peng

Since Specialization

Citations

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

Fields of papers citing papers by Jialin Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialin Peng

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy With Sparse Point Annotation 2024 ·IEEE Transactions on Big Data ·(unknown), (unknown), (unknown), Jialin Peng	2
2	Phase Transfer Entropy to Assess Nonlinear Functional Corticokinematic Coupling 2023 ·Jialin Peng, (unknown), (unknown), Kai Yuan, Raymond Kai‐Yu Tong, Shi‐Chun Bao	0
3	HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images 2021 ·Computer Methods and Programs in Biomedicine ·Zhimin Yuan, Xiaofen Ma, (unknown), (unknown), Jialin Peng	15
4	Hierarchical Encoder-Decoder With Soft Label-Decomposition for Mitochondria Segmentation in EM Images 2021 ·Frontiers in Neuroscience ·(unknown), Ye Wang, Shikun Liu, Jialin Peng	7
5	The E3 ligase MREL57 modulates microtubule stability and stomatal closure in response to ABA 2021 ·Nature Communications ·(unknown), (unknown), Jialin Peng, Xiangfeng Wang, Tonglin Mao	45
6	Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models 2021 ·arXiv (Cornell University) ·Jialin Peng, Ye Wang	1
7	Applications of deep learning in medical imaging: a survey 2020 ·Journal of Image and Graphics ·Jun Shi, Linlin Wang, Shanshan Wang, (unknown), Qian Wang, (unknown), Shujun Liang, Jialin Peng, (unknown), Shengfeng Liu, (unknown), Mingliang Wang, Daoqiang Zhang, Dinggang Shen	8
8	HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation 2020 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Zhimin Yuan, Jialin Peng	98
9	Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis 2018 ·Pattern Recognition ·Jialin Peng, Xiaofeng Zhu, (unknown), Le An, Dinggang Shen	86
10	Image Segmentation via Mean Curvature Regularized Mumford-Shah Model and Thresholding 2017 ·Neural Processing Letters ·(unknown), Jialin Peng, De-Xing Kong	11
11	Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets 2016 ·International Journal of Computer Assisted Radiology and Surgery ·Peijun Hu, Fa Wu, Jialin Peng, Yuanyuan Bao, Feng Chen, De-Xing Kong	153
12	Multi-surface analysis for human action recognition in video 2016 ·SpringerPlus ·Hongbo Zhang, Qing Lei, Bineng Zhong, Ji‐Xiang Du, Jialin Peng, (unknown), (unknown)	7
13	Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution 2016 ·Physics in Medicine and Biology ·Peijun Hu, Fa Wu, Jialin Peng, Ping Liang, De-Xing Kong	162
14	3D liver segmentation using multiple region appearances and graph cuts 2015 ·Medical Physics ·Jialin Peng, Peijun Hu, Lu Fang, Zhiyi Peng, De-Xing Kong, Hongbo Zhang	41
15	A Survey on Human Pose Estimation 2015 ·Intelligent Automation & Soft Computing ·Hongbo Zhang, Qing Lei, Bineng Zhong, Ji‐Xiang Du, Jialin Peng	23
16	A region‐appearance‐based adaptive variational model for 3D liver segmentation 2014 ·Medical Physics ·Jialin Peng, Fangfang Dong, Yunmei Chen, De-Xing Kong	27
17	Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization 2014 ·Journal of Visual Communication and Image Representation ·Fangfang Dong, Jialin Peng	21
18	Development of hyperbranched polymers with non-covalent interactions for extraction and determination of aflatoxins in cereal samples 2013 ·Analytica Chimica Acta ·Xiaoyan Liu, Huihui Li, Zhigang Xu, Jialin Peng, (unknown), Haixia Zhang	29
19	Liver segmentation with constrained convex variational model 2013 ·Pattern Recognition Letters ·Jialin Peng, Ye Wang, De-Xing Kong	34
20	A novel variational model for multiplicative noise removal by combining nonlocal and weberized total variation regularizations 2011 ·Fangfang Dong, Zhen Liu, Jialin Peng	2

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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