Huangjing Lin

5.3k total citations
20 papers, 805 citations indexed

About

Huangjing Lin is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Huangjing Lin has authored 20 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Huangjing Lin's work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (9 papers) and Cervical Cancer and HPV Research (2 papers). Huangjing Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (9 papers) and Cervical Cancer and HPV Research (2 papers). Huangjing Lin collaborates with scholars based in Hong Kong, China and United Kingdom. Huangjing Lin's co-authors include Hao Chen, Pheng‐Ann Heng, Xi Wang, Qi Dou, Qitao Huang, Muyan Cai, Efstratios Tsougenis, Liansheng Wang, Yaxi Zhu and Shujun Wang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Medical Imaging and IEEE Transactions on Cybernetics.

In The Last Decade

Huangjing Lin

17 papers receiving 790 citations

Peers

Countries citing papers authored by Huangjing Lin

Since Specialization

Citations

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

Fields of papers citing papers by Huangjing Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huangjing Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Huangjing Lin. A scholar is included among the top collaborators of Huangjing 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 Huangjing Lin. Huangjing Lin 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	Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study 2025 ·EClinicalMedicine ·(unknown), (unknown), Yanwen Li, Xiao‐Ping Chen, (unknown), Menghong Wang, (unknown), Yi Ming Shao, (unknown), (unknown), Huangjing Lin, (unknown), (unknown), Tao Li, (unknown), (unknown), Li Cheng, Hao Chen, Yinghua Zhao	0
2	A multimodal knowledge-enhanced whole-slide pathology foundation model 2025 ·Nature Communications ·(unknown), Yihui Wang, (unknown), (unknown), Cheng Jin, Shuhua Yang, Jinbang Li, (unknown), (unknown), Huajun Zhou, (unknown), Huangjing Lin, Xin Wang, Jiguang Wang, (unknown), Ronald Chan, Li Liang, Xiuming Zhang, Hao Chen	0
3	Learning co-plane attention across MRI sequences for diagnosing twelve types of knee abnormalities 2024 ·Nature Communications ·(unknown), (unknown), Huangjing Lin, Yan-Wen Li, Qiang Ye, Menghong Wang, (unknown), Yinghua Zhao, Hao Chen	8
4	Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·Luyang Luo, Yan-Wen Li, (unknown), Huangjing Lin, Pheng‐Ann Heng, Hao Chen	2
5	HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification 2024 ·IEEE Transactions on Medical Imaging ·Cheng Jin, Luyang Luo, Huangjing Lin, (unknown), Hao Chen	3
6	Development and validation of an interpretable model integrating multimodal information for improving ovarian cancer diagnosis 2024 ·Nature Communications ·(unknown), (unknown), Fang Li, Chunyan Li, Lixian Liu, (unknown), (unknown), Fengtao Zhou, Xi Wang, (unknown), Qingguang Lin, (unknown), (unknown), Luyang Luo, Huangjing Lin, Xi Lin, Hao Chen	24
7	Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images 2024 ·IEEE Transactions on Medical Imaging ·(unknown), Luyang Luo, Huangjing Lin, Pheng‐Ann Heng, Hao Chen	10
8	GAInS: Gradient Anomaly-aware Biomedical Instance Segmentation 2024 ·Runsheng Liu, Hao Jiang, Yanning Zhou, Huangjing Lin, Liansheng Wang, (unknown)	0
9	Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study 2022 ·Radiology Artificial Intelligence ·Luyang Luo, Hao Chen, (unknown), Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Chu Han, Zaiyi Liu, (unknown), Efstratios Tsougenis, Huangjing Lin, Pheng‐Ann Heng	18
10	Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection 2022 ·2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) ·(unknown), Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng‐Ann Heng	8
11	Development and Evaluation of a Deep Learning Algorithm for Rib Segmentation and Fracture Detection from Multicenter Chest CT Images 2021 ·Radiology Artificial Intelligence ·Mingxiang Wu, (unknown), (unknown), Huangjing Lin, Qiong Wang, Liansheng Wang, Hao Chen	32
12	Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis 2021 ·Medical Image Analysis ·Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, Pheng‐Ann Heng	51
13	Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification 2021 ·Medical Image Analysis ·Xi Wang, Hao Chen, (unknown), Huangjing Lin, Xi Lin, Pheng‐Ann Heng	70
14	RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification 2019 ·Medical Image Analysis ·Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiang‐Bo Wan, Xinjuan Fan, Pheng‐Ann Heng	137
15	Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis 2019 ·IEEE Transactions on Cybernetics ·Xi Wang, Hao Chen, (unknown), Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng‐Ann Heng	264
16	Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection 2019 ·IEEE Transactions on Medical Imaging ·Huangjing Lin, Hao Chen, Simon Graham, Qi Dou, Nasir Rajpoot, Pheng‐Ann Heng	87
17	ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image 2018 ·PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng‐Ann Heng	48
18	Weakly Supervised Learning for Whole Slide Lung Cancer Image Classification 2018 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Xi Wang, Hao Chen, (unknown), Huangjing Lin, Qi Dou, Qitao Huang, Muyan Cai, Pheng‐Ann Heng	21
19	A 3D Segmentation and Visualization Scheme for Solid and Non-solid Lung Lesions Based on Gaussian Filtering Regularized Level Set 2014 ·Liansheng Wang, Huangjing Lin, (unknown), Boliang Wang, Yiping Chen	1
20	GIS-Based Multicriteria Evaluation for Investment Environment 1997 ·Environment and Planning B Planning and Design ·Huangjing Lin, (unknown), (unknown), (unknown), (unknown)	21

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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