Danny Z. Chen

9.7k total citations · 2 hit papers
292 papers, 4.2k citations indexed

About

Danny Z. Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Danny Z. Chen has authored 292 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computer Vision and Pattern Recognition, 84 papers in Computer Graphics and Computer-Aided Design and 54 papers in Artificial Intelligence. Recurrent topics in Danny Z. Chen's work include Computational Geometry and Mesh Generation (81 papers), AI in cancer detection (29 papers) and Robotic Path Planning Algorithms (28 papers). Danny Z. Chen is often cited by papers focused on Computational Geometry and Mesh Generation (81 papers), AI in cancer detection (29 papers) and Robotic Path Planning Algorithms (28 papers). Danny Z. Chen collaborates with scholars based in United States, China and Germany. Danny Z. Chen's co-authors include Xiaobo Sharon Hu, Yumin Zhang, Jintai Chen, Jian Wu, Lin Yang, Mark Alber, Chaoli Wang, Jianxu Chen, C Yu and Shuang Luan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Danny Z. Chen

277 papers receiving 4.1k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Task scheduling and voltage selection for energy minimization

2002 263 citations Xiaobo Sharon Hu, Danny Z. Chen et al. profile →
U-Net V2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

2025 18 citations Danny Z. Chen, Milan Sonka et al. profile →

Peers

Countries citing papers authored by Danny Z. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Danny Z. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Z. Chen. 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 Danny Z. Chen. The network helps show where Danny Z. Chen may publish in the future.

Co-authorship network of co-authors of Danny Z. Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification 2025 ·ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley) ·(unknown), (unknown), (unknown), (unknown), Chaoli Wang, Danny Z. Chen	0
2	Boosting Medical Image Classification with Segmentation Foundation Model 2024 ·(unknown), (unknown), (unknown), (unknown), Yizhe Zhang, (unknown), Chaoli Wang, Danny Z. Chen	3
3	Shmc-Net: A Mask-Guided Feature Fusion Network for Sperm Head Morphology Classification 2024 ·(unknown), Yejia Zhang, (unknown), Peixian Liang, Zhuo Zhao, Jingjing Zhang, Xiaomin Zha, Yiru Zhou, (unknown), Danny Z. Chen	2
4	Path-Gptomic: A Balanced Multi-Modal Learning Framework For Survival Outcome Prediction 2024 ·Hongxiao Wang, Yang Yang, Zhuo Zhao, Pengfei Gu, (unknown), Danny Z. Chen	4
5	Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images 2024 ·Yizhe Zhang, Tao Zhou, Ye Wu, Shuo Wang, Danny Z. Chen	0
6	CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification 2023 ·IEEE Transactions on Medical Imaging ·(unknown), Gang Huang, Zhuo Zhao, (unknown), Anna Juncker‐Jensen, (unknown), Xin Lü, Xiangliang Zhang, Danny Z. Chen	14
7	A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading 2023 ·IEEE Transactions on Medical Imaging ·(unknown), Zhe Xu, (unknown), Haochao Ying, Tingting Chen, Zuozhu Liu, Danny Z. Chen, Ke Yao, Jian Wu	5
8	Embryonic cranial cartilage defects in the Fgfr3^Y367C^/+ mouse model of achondroplasia 2023 ·The Anatomical Record ·(unknown), (unknown), Kazuhiko Kawasaki, Yejia Zhang, Danny Z. Chen, (unknown), Emily L. Durham, Yann Heuzé, Laurence Legeai‐Mallet, Joan T. Richtsmeier	3
9	Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision 2023 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Jintai Chen, (unknown), (unknown), (unknown), Cheng Yi, (unknown), Danny Z. Chen, Honghao Gao, Jian Wu, Hongxia Xu	4
10	TANGO: A GO-Term Embedding Based Method for Protein Semantic Similarity Prediction 2022 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), Hao Zheng, Danny Z. Chen	8
11	A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction 2022 ·Multimedia Tools and Applications ·Linli Xu, Peixian Liang, Jing Han, Lianfa Bai, Danny Z. Chen	1
12	Global Filter of Fusing Near-Infrared and Visible Images in Frequency Domain for Defogging 2022 ·IEEE Signal Processing Letters ·(unknown), Peixian Liang, Jing Han, Lianfa Bai, Danny Z. Chen	5
13	HMCKRAutoEncoder: An Interpretable Deep Learning Framework for Time Series Analysis 2022 ·IEEE Transactions on Emerging Topics in Computing ·Jilong Wang, Rui Li, Renfa Li, Bin Fu, Danny Z. Chen	8
14	KCB-Net: A 3D knee cartilage and bone segmentation network via sparse annotation 2022 ·Medical Image Analysis ·(unknown), Hao Zheng, Peixian Liang, Lichun Zhang, Fahim Zaman, Xiaodong Wu, Milan Sonka, Danny Z. Chen	13
15	Towards Interpretable Arrhythmia Classification With Human-Machine Collaborative Knowledge Representation 2020 ·IEEE Transactions on Biomedical Engineering ·Jilong Wang, Rui Li, Renfa Li, Bin Fu, Chunxia Xiao, Danny Z. Chen	33
16	A Cross-Domain Metal Trace Restoring Network for Reducing X-Ray CT Metal Artifacts 2020 ·IEEE Transactions on Medical Imaging ·Chengtao Peng, Bin Li, Peixian Liang, Jian Zheng, Yizhe Zhang, Bensheng Qiu, Danny Z. Chen	25
17	moDNN: Memory optimal DNN training on GPUs 2018 ·Xiaohong Chen, Danny Z. Chen, Xiaobo Sharon Hu	22
18	Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation 2016 ·neural information processing systems ·Jianxu Chen, Lin Yang, Yizhe Zhang, Mark Alber, Danny Z. Chen	76
19	Segmentation, Reconstruction, and Analysis of Blood Thrombus Formation in 3D 2-Photon Microscopy Images 2010 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Malgorzata M. Kamocka, (unknown), (unknown), (unknown), Danny Z. Chen	0
20	Geometric permutations of high dimensional spheres 2001 ·Symposium on Discrete Algorithms ·Yingping Huang, Jinhui Xu, Danny Z. Chen	6

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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