Dong Nie

6.3k total citations · 2 hit papers
85 papers, 3.9k citations indexed

About

Dong Nie is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Dong Nie has authored 85 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 31 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Biomedical Engineering. Recurrent topics in Dong Nie's work include Advanced Neural Network Applications (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Medical Imaging and Analysis (18 papers). Dong Nie is often cited by papers focused on Advanced Neural Network Applications (21 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Medical Imaging and Analysis (18 papers). Dong Nie collaborates with scholars based in United States, China and South Korea. Dong Nie's co-authors include Dinggang Shen, Qian Wang, Li Wang, Jun Lian, Roger Trullo, Su Ruan, Caroline Petitjean, Ehsan Adeli, Yaozong Gao and Xiaohuan Cao and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Journal of the American Society of Nephrology.

In The Last Decade

Dong Nie

71 papers receiving 3.8k 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.

Medical Image Synthesis with Context-Aware Generative Adversarial Networks

2017 426 citations Dong Nie, Jun Lian et al. Lecture notes in computer science profile →
Medical Image Synthesis with Deep Convolutional Adversarial Networks

2018 421 citations Dong Nie, Jun Lian et al. profile →

Peers

Countries citing papers authored by Dong Nie

Since Specialization

Citations

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

Fields of papers citing papers by Dong Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Nie. A scholar is included among the top collaborators of Dong Nie 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 Dong Nie. Dong Nie 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	Large Language Models in Document Intelligence: A Comprehensive Survey, Recent Advances, Challenges, and Future Trends 2025 ·ACM Transactions on Information Systems ·(unknown), (unknown), (unknown), (unknown), Dong Nie, Peng Wang, Yao He	0
2	Multi‐sequence brain tumor segmentation boosted by deep semantic features 2025 ·Medical Physics ·(unknown), (unknown), Yuxiang Ren, Dong Nie, Zhenyu Tang	0
3	Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images 2024 ·IEEE Transactions on Image Processing ·Huabing Liu, (unknown), Dong Nie, Dinggang Shen, Jinda Wang, Zhenyu Tang	15
4	Structure-Aware Brain Tissue Segmentation for Isointense Infant MRI Data Using Multi-Phase Multi-Scale Assistance Network 2024 ·IEEE Journal of Biomedical and Health Informatics ·Jiameng Liu, Feihong Liu, Dong Nie, Yuning Gu, (unknown), Dinggang Shen	0
5	Multi-Label Clinical Time-Series Generation via Conditional GAN 2023 ·IEEE Transactions on Knowledge and Data Engineering ·Chang Lü, Chandan K. Reddy, Ping Wang, Dong Nie, Yue Ning	16
6	Innovative technology for large-scale photovoltaic consumption using reversible solid oxide cells 2023 ·Frontiers in Energy Research ·(unknown), Dong Nie, Xi Chen, (unknown), Jie Zhao, (unknown), Haoyu Yu, (unknown), Zepeng Lv, Jun Zhou	3
7	Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast 2022 ·IEEE Transactions on Medical Imaging ·Junwei Yang, Xiaoxin Li, Feihong Liu, Dong Nie, Píetro Lió, Haikun Qi, Dinggang Shen	9
8	Semantic instance segmentation with discriminative deep supervision for medical images 2022 ·Medical Image Analysis ·Sihang Zhou, Dong Nie, Ehsan Adeli, Wei Qian, Xuhua Ren, Xinwang Liu, En Zhu, Jianping Yin, Qian Wang, Dinggang Shen	13
9	HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images 2021 ·IEEE Transactions on Medical Imaging ·Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen	66
10	Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept 2021 ·Computers in Biology and Medicine ·(unknown), Dong Nie, Tong Zhu, Pew‐Thian Yap, Jun Lian	3
11	Automated Generation of Accurate & Fluent Medical X-ray Reports 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Hoang Nga Nguyen, Dong Nie, (unknown), (unknown), Yingying Zhu, (unknown), (unknown)	22
12	Citywide Estimation of Traffic Dynamics via Sparse GPS Traces 2020 ·UNC Libraries ·Ming–Chieh Lin, David A. Wilkie, Dong Nie, Weizi Li	2
13	Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation 2019 ·IEEE Transactions on Cybernetics ·Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, (unknown), Seong‐Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen	55
14	One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures 2019 ·IEEE Transactions on Medical Imaging ·Xu Chen, Chunfeng Lian, Li Wang, Han Deng, Steve H. Fung, Dong Nie, Kim‐Han Thung, Pew‐Thian Yap, Jaime Gateño, James J. Xia, Dinggang Shen	27
15	Automatic brain labeling via multi-atlas guided fully convolutional networks 2018 ·Medical Image Analysis ·(unknown), Lichi Zhang, Dong Nie, Xiaohuan Cao, Islem Rekik, Seong‐Whan Lee, Huiguang He, Dinggang Shen	19
16	Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks 2018 ·IEEE Transactions on Medical Imaging ·Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen	71
17	Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning 2018 ·Lecture notes in computer science ·(unknown), Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, (unknown), Peng Yuan, Steve H. Fung, Han Deng, James J. Xia, Dinggang Shen	33
18	A MODIFICATION OF THE MESOPIC LUMINANCE EQUATION IN THE CIE MESOPIC PHOTOMETRY SYSTEM FOR A BETTER REPRESENTATION OF THE MESOPIC VISION IN THE WHOLE VISUAL FIELD 2017 ·Journal of Environmental Engineering (Transactions of AIJ) ·(unknown), Dong Nie, Yukio Akashi	0
19	Citywide Estimation of Traffic Dynamics via Sparse GPS Traces 2017 ·IEEE Intelligent Transportation Systems Magazine ·Weizi Li, Dong Nie, David A. Wilkie, Ming–Chieh Lin	33
20	Intelligent monitor of centralized illumination control system 2008 ·Dianli zidonghua shebei ·Dong Nie	0

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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