Junjie Hu

1.7k total citations
60 papers, 1.1k citations indexed

About

Junjie Hu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Junjie Hu has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Junjie Hu's work include Advanced Radiotherapy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Image Segmentation Techniques (7 papers). Junjie Hu is often cited by papers focused on Advanced Radiotherapy Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Medical Image Segmentation Techniques (7 papers). Junjie Hu collaborates with scholars based in China, United States and Australia. Junjie Hu's co-authors include Yi Zhang, Jie Zhong, Yuanyuan Chen, Ying Song, Yuanyuan Chen, Sen Bai, Rong Ju, Wei Zhang, Zhentao Gao and Jianyong Wang and has published in prestigious journals such as Cell, The Science of The Total Environment and Journal of Virology.

In The Last Decade

Junjie Hu

51 papers receiving 1.1k citations

Peers

Countries citing papers authored by Junjie Hu

Since Specialization

Citations

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

Fields of papers citing papers by Junjie Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Hu. A scholar is included among the top collaborators of Junjie Hu 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 Junjie Hu. Junjie Hu 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	PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation 2025 ·(unknown), (unknown), Wenbo Qi, (unknown), Ying Song, Guangjun Li, Yi Zhang, Xiaogang Xu, Junjie Hu	0
2	Discovery of a potent BRD4 PROTAC and evaluation of its bioactivity in breast cancer cell lines 2025 ·Biochemical Pharmacology ·Junjie Hu, Jianming Yang, (unknown), Kexin Chen, Hongyun Zhao, Yirong Zhou	1
3	Visual prompt-driven universal model for medical image segmentation in radiotherapy 2025 ·Knowledge-Based Systems ·(unknown), (unknown), Yi Zhang, Junjie Hu	1
4	Large Language Models and Large Multimodal Models in Medical Imaging: A Primer for Physicians 2025 ·Journal of Nuclear Medicine ·Tyler Bradshaw, Xin Tie, Joshua Warner, Junjie Hu, (unknown), Xiang Li	9
5	Leveraging denoising diffusion probabilistic model to improve the multi-thickness CT segmentation 2024 ·Neurocomputing ·(unknown), Ying Song, (unknown), (unknown), Yi Zhang, Junjie Hu	0
6	A multi-objective particle swarm optimization based on local ideal points 2024 ·Applied Soft Computing ·Yu Zhang, Wang Hu, Wen Yao, Xinyue Li, Junjie Hu	11
7	Regularizing deep neural networks for medical image analysis with augmented batch normalization 2024 ·Applied Soft Computing ·(unknown), (unknown), Junjie Hu	8
8	Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy 2024 ·International Journal of Intelligent Systems ·Junjie Hu, (unknown), (unknown), Haixian Zhang	0
9	ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax 2024 ·Journal of Imaging Informatics in Medicine ·(unknown), Xin Tie, Junjie Hu, Tyler Bradshaw	18
10	RNA-binding proteins potentially regulate alternative splicing of immune/inflammatory-associated genes during the progression of generalized pustular psoriasis 2024 ·Archives of Dermatological Research ·Shan Zhou, Junjie Hu, (unknown), Fang Wang, Yīng Fāng, Ranran Zhang, Yixiao Wang, Liyun Zheng, Min Gao, Huayang Tang	1
11	Uptake, translocation, and metabolism of organophosphate esters (OPEs) in plants and health perspective for human: A review 2024 ·Environmental Research ·(unknown), (unknown), Huiru Li, (unknown), (unknown), (unknown), (unknown), Dongwei Wu, Junjie Hu	17
12	Artificial intelligence: opportunities and challenges in the clinical applications of triple-negative breast cancer 2023 ·British Journal of Cancer ·(unknown), Junjie Hu, Yichen Zheng, (unknown), Ji Ma	28
13	Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation 2023 ·International Journal of Neural Systems ·Junjie Hu, (unknown), Yi Zhang, Haixian Zhang	12
14	Vasculogenic mimicry-associated novel gene signature predicted prognosis and response to immunotherapy in lung adenocarcinoma 2023 ·Pathology - Research and Practice ·Lei Zhang, (unknown), (unknown), Junjie Hu, (unknown), Junjie Ma, Ziwei Xu, (unknown)	4
15	Assessing risks of algal blooms in water transfer based on algal growth potential 2023 ·Environmental Monitoring and Assessment ·(unknown), Junjie Hu, Zilong Wang, (unknown), Liguo Chen	3
16	Uptake, accumulation, and translocation of organophosphate esters and brominated flame retardants in water hyacinth (Eichhornia crassipes): A field study 2023 ·The Science of The Total Environment ·Huiru Li, (unknown), Yishan Liu, (unknown), (unknown), Junjie Hu, (unknown), (unknown), Mingyang Liu, You‐Sheng Liu, Guang‐Guo Ying	22
17	Young oncologists benefit more than experts from deep learning-based organs-at-risk contouring modeling in nasopharyngeal carcinoma radiotherapy: A multi-institution clinical study exploring working experience and institute group style factor 2023 ·Clinical and Translational Radiation Oncology ·Ying Song, Junjie Hu, Qiang Wang, (unknown), (unknown), Lin Chen, (unknown), (unknown), (unknown), Qian Yu, (unknown), (unknown), Sen Bai, (unknown), Yi Zhang	2
18	Object Detection of Overhead Transmission Lines Based on Improved YOLOv5s 2022 ·Juping Gu, Junjie Hu, (unknown), Zixu Wang, (unknown), Yiming Xu, Jian-Hong Zhu	1
19	Automatic delineation of the clinical target volume and organs at risk by deep learning for rectal cancer postoperative radiotherapy 2020 ·Radiotherapy and Oncology ·Ying Song, Junjie Hu, Qiang Wu, (unknown), Shihong Nie, Yaqin Zhao, Sen Bai, Yi Zhang	49
20	Weaving the Web of ER Tubules 2012 ·Cell ·Junjie Hu, William A. Prinz, Tom A. Rapoport	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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