Lanfen Lin

6.3k total citations · 2 hit papers
155 papers, 3.5k citations indexed

About

Lanfen Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lanfen Lin has authored 155 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 72 papers in Artificial Intelligence and 49 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lanfen Lin's work include Radiomics and Machine Learning in Medical Imaging (35 papers), Advanced Neural Network Applications (32 papers) and AI in cancer detection (31 papers). Lanfen Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (35 papers), Advanced Neural Network Applications (32 papers) and AI in cancer detection (31 papers). Lanfen Lin collaborates with scholars based in China, Japan and United States. Lanfen Lin's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Lanfen Lin

144 papers receiving 3.4k citations

Hit Papers

align trajectories

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.

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

2020 1.6k citations Huimin Huang, Lanfen Lin et al. profile →
Mixed Transformer U-Net for Medical Image Segmentation

2022 213 citations Hongyi Wang, Shiao Xie et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lanfen Lin China	23	1.5k	1.2k	1.2k	507	414	155	3.5k
Ehsan Adeli United States	36	1.6k 1.0×	1.6k 1.3×	1.2k 1.0×	800 1.6×	432 1.0×	139	4.6k
Isabella Nogues United States	4	1.1k 0.7×	1.5k 1.3×	1.5k 1.3×	290 0.6×	460 1.1×	6	4.1k
Vijayan K. Asari United States	28	3.0k 2.0×	1.3k 1.1×	997 0.9×	272 0.5×	450 1.1×	283	5.5k
Mingchen Gao United States	15	1.4k 0.9×	1.8k 1.6×	1.8k 1.5×	312 0.6×	537 1.3×	54	4.8k
Hoo-Chang Shin United States	10	1.4k 0.9×	2.0k 1.7×	1.9k 1.6×	381 0.8×	550 1.3×	10	5.0k
Hamid Soltanian‐Zadeh Iran	41	2.4k 1.6×	1.3k 1.1×	2.3k 2.0×	818 1.6×	704 1.7×	456	7.3k
Md Zahangir Alom United States	16	1.1k 0.7×	1.3k 1.1×	950 0.8×	254 0.5×	252 0.6×	63	3.3k
Chen Li China	37	1.3k 0.9×	2.1k 1.8×	1.8k 1.5×	272 0.5×	437 1.1×	239	4.8k
Concetto Spampinato Italy	34	1.4k 0.9×	636 0.5×	513 0.4×	297 0.6×	322 0.8×	183	3.9k
Jacob Goldberger Israel	32	2.5k 1.6×	2.8k 2.4×	721 0.6×	245 0.5×	308 0.7×	158	5.8k

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-authorship network of co-authors of Lanfen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Lanfen Lin. A scholar is included among the top collaborators of Lanfen Lin 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 Lanfen Lin. Lanfen Lin 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

Sun, Hao, Hongyi Wang, Xin‐Yao Yu, et al.. (2025). Multimodal Sentiment Analysis With Mutual Information-Based Disentangled Representation Learning. IEEE Transactions on Affective Computing. 16(3). 1606–1617.

Jain, Rahul Kumar, et al.. (2025). SPA: Leveraging the SAM With Spatial Priors Adapter for Enhanced Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 30(2). 993–1005. 2 indexed citations

Xu, Yingying, Yinjie Wang, Qingqing Chen, et al.. (2024). FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation. 1–5. 2 indexed citations

Huang, Huimin, Yawen Huang, Shiao Xie, et al.. (2024). Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2330–2338. 1 indexed citations

Chen, Qingqing, Xian‐Hua Han, Yutaro Iwamoto, et al.. (2024). Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. IEEE Journal of Biomedical and Health Informatics. 28(8). 4737–4750. 4 indexed citations

Ai, Yang, Jing Liu, Xiuju Du, et al.. (2024). SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data. IEEE Journal of Biomedical and Health Informatics. 29(5). 3220–3233. 5 indexed citations

Xie, Shiao, et al.. (2023). IS2Net: Intra-domain Semantic and Inter-domain Style Enhancement for Semi-supervised Medical Domain Generalization. 8285–8293. 2 indexed citations

Huang, Huimin, Yawen Huang, Shiao Xie, et al.. (2023). Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation. 5214–5222. 3 indexed citations

Xu, Yingying, et al.. (2023). Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization. IEEE Transactions on Multimedia. 26. 245–255. 28 indexed citations

10.

Xie, Shiao, et al.. (2023). HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification. arXiv (Cornell University). 4768–4777. 1 indexed citations

11.

Sun, Hao, Yen‐Wei Chen, & Lanfen Lin. (2022). TensorFormer: A Tensor-Based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection. IEEE Transactions on Affective Computing. 14(4). 2776–2786. 36 indexed citations

12.

Sun, Hao, et al.. (2022). CoSTHR: A Heart Rate Estimating Network With Adaptive Color Space Transformation. IEEE Transactions on Instrumentation and Measurement. 71. 1–10. 13 indexed citations

13.

Chen, Qingqing, Yuanyuan Zhang, Dan Cao, et al.. (2022). A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma. European Journal of Surgical Oncology. 49(1). 156–164. 18 indexed citations

14.

Chen, Qingqing, Yutaro Iwamoto, Hongjie Hu, et al.. (2021). Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. IEEE Journal of Biomedical and Health Informatics. 25(7). 2363–2373. 23 indexed citations

15.

Peng, Chengtao, Liying Peng, Yingying Xu, et al.. (2021). DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(2). 614–625. 24 indexed citations

16.

Huang, Huimin, Lanfen Lin, Ruofeng Tong, et al.. (2020). UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. 1055–1059. 1600 indexed citations breakdown →

17.

Wang, Weibin, Qingqing Chen, Yutaro Iwamoto, et al.. (2020). Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma. IEEE Access. 8. 139212–139220. 16 indexed citations

18.

Han, Xian‐Hua, Yutaro Iwamoto, Lanfen Lin, et al.. (2019). VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. Computerized Medical Imaging and Graphics. 75. 74–83. 67 indexed citations

19.

Peng, Liying, Yen‐Wei Chen, Lanfen Lin, et al.. (2019). Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. IEEE Journal of Biomedical and Health Informatics. 23(6). 2526–2536. 23 indexed citations

20.

Peng, Liying, Lanfen Lin, Hongjie Hu, et al.. (2019). Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations. IEEE Journal of Biomedical and Health Informatics. 24(8). 2327–2336. 13 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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