Lanfen Lin

6.5k citations

158 papers · 3.7k · 2 hit papers · h-index 24

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Neurology top 1%
- Brain Tumor Detection and Classification

Papers in

Computer Vision and Pattern Recognition 74
- Advanced Neural Network Applications 31
- Medical Image Segmentation Techniques 28
- Advanced Image and Video Retrieval Techniques 12
Artificial Intelligence 70
- AI in cancer detection 30
- Domain Adaptation and Few-Shot Learning 15

Co-authors: Yen‐Wei Chen (101 shared papers)Xian‐Hua Han (46 shared papers)Yutaro Iwamoto (40 shared papers)Ruofeng Tong (40 shared papers)Hongjie Hu (54 shared papers)Qiaowei Zhang (13 shared papers)Huimin Huang (13 shared papers)Jian Wu (2 shared papers)
Journals: IEEE Journal of Biomedical and Health Informatics (9 papers)Medical Physics (3 papers)IEEE Transactions on Medical Imaging (3 papers)Neurocomputing (2 papers)International Journal of Production Research (2 papers)
Partner nations: China Japan United States

In The Last Decade

Lanfen Lin

146 papers receiving 3.6k citations

Lanfen Lin's Hit Papers

align trajectories log scale

Mixed Transformer U-Net for Medical Image Segmentation 2022 · 231 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020 UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

Peers

Countries citing papers authored by Lanfen Lin

Since Specialization

Citations

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

Fields of papers citing papers by Lanfen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lanfen Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lanfen Lin Line = papers co-authored together Lanfen Lin links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian‐Hua Han, Yen‐Wei Chen, Jian Wu Hit paper breakdown →	2020	1693
2	Mixed Transformer U-Net for Medical Image Segmentation ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian‐Hua Han, Yen‐Wei Chen, Ruofeng Tong Hit paper breakdown →	2022	231
3	A deep 3D residualCNNfor false‐positive reduction in pulmonary nodule detection Medical Physics ·Hongsheng Jin, Zongyao Li, Ruofeng Tong, Lanfen Lin	2018	91
4	CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation Proceedings of the 30th ACM International Conference on Multimedia ·Hao Sun, Hongyi Wang, Jiaqing Liu, Yen‐Wei Chen, Lanfen Lin	2022	84
5	ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise  Perspective for Medical Image Segmentation Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian‐Hua Han, Yen‐Wei Chen, Ruofeng Tong	2022	74
6	VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation Computerized Medical Imaging and Graphics ·Titinunt Kitrungrotsakul, Xian‐Hua Han, Yutaro Iwamoto, Lanfen Lin, Amir Hossein Foruzan, Wei Xiong, Yen‐Wei Chen	2019	69
7	Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level Sensors ·Hao Sun, Jiaqing Liu, Shurong Chai, Zhaolin Qiu, Lanfen Lin, Xinyin Huang, Yen‐Wei Chen	2021	65
8	Developing manufacturing ontologies for knowledge reuse in distributed manufacturing environment International Journal of Production Research ·Lanfen Lin, Weirong Zhang, Yitian Lou, Changyong Chu, Ming Cai	2010	64
9	Melatonin Reduces Neuroinflammation and Improves Axonal Hypomyelination by Modulating M1/M2 Microglia Polarization via JAK2-STAT3-Telomerase Pathway in Postnatal Rats Exposed to Lipopolysaccharide Molecular Neurobiology ·Qiuping Zhou, Lanfen Lin, Haiyan Li, Huifang Wang, Shuqi Jiang, Peixian Huang, Qiongyu Lin, Xuan Chen, Yiyu Deng	2021	54
10	PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images Medical Physics ·Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian‐Hua Han, Yen‐Wei Chen, Ruofeng Tong	2021	43
11	TensorFormer: A Tensor-Based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection IEEE Transactions on Affective Computing ·Hao Sun, Yen‐Wei Chen, Lanfen Lin	2022	41
12	Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images International Journal of Biomedical Imaging ·Jian Wang, Xian‐Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen‐Wei Chen	2017	36
13	Complement C3a induces axonal hypomyelination in the periventricular white matter through activation of WNT/β‐catenin signal pathway in septic neonatal rats experimentally induced by lipopolysaccharide Brain Pathology ·Peixian Huang, Qiuping Zhou, Qiongyu Lin, Lanfen Lin, Huifang Wang, Xuan Chen, Shuqi Jiang, Hui Fu, Yiyu Deng	2019	33
14	Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data PubMed ·Weibin Wang, Qingqing Chen, Yutaro Iwamoto, Xian‐Hua Han, Qiaowei Zhang, Hongjie Hu, Lanfen Lin, Yen‐Wei Chen	2019	33
15	Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization IEEE Transactions on Multimedia ·Ziwei Niu, Junkun Yuan, Xu Ma, Yingying Xu, Jing Liu, Yen‐Wei Chen, Ruofeng Tong, Lanfen Lin	2023	32
16	Modality-invariant temporal representation learning for multimodal sentiment classification Information Fusion ·Hao Sun, Jiaqing Liu, Yen‐Wei Chen, Lanfen Lin	2022	31
17	Segmentation of liver and spleen based on computational anatomy models Computers in Biology and Medicine ·Chunhua Dong, Yen‐Wei Chen, Amir Hossein Foruzan, Lanfen Lin, Xian‐Hua Han, Tomoko Tateyama, Xing Wu, Gang Xu, Huiyan Jiang	2015	30
18	Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images International Journal of Computer Assisted Radiology and Surgery ·Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Wenchao Zhu, Jian Wang, Xian‐Hua Han, Yen‐Wei Chen	2017	29
19	DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation IEEE Journal of Biomedical and Health Informatics ·Yue Zhang, Chengtao Peng, Liying Peng, Yingying Xu, Lanfen Lin, Ruofeng Tong, Zhiyi Peng, Xiongwei Mao, Hongjie Hu, Yen‐Wei Chen, Jingsong Li	2021	27
20	Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer IEEE Access ·Panyanat Aonpong, Yutaro Iwamoto, Xian‐Hua Han, Lanfen Lin, Yen‐Wei Chen	2021	25

About Lanfen Lin

Lanfen Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Information Systems, having authored 158 papers that have together received 3.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (32 papers), Advanced Neural Network Applications (31 papers), AI in cancer detection (30 papers), Medical Image Segmentation Techniques (28 papers), COVID-19 diagnosis using AI (19 papers), Domain Adaptation and Few-Shot Learning (15 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Hepatocellular Carcinoma Treatment and Prognosis (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Neurology (514 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Artificial Intelligence (1.1k citations) and Media Technology (272 citations). Lanfen Lin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yen‐Wei Chen, Xian‐Hua Han, Yutaro Iwamoto, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Huimin Huang, Jian Wu, Hao Sun and Shiao Xie. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Medical Physics, IEEE Transactions on Medical Imaging, Neurocomputing and International Journal of Production Research.

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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Lanfen Lin's Hit Papers

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About Lanfen Lin

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