Dongnan Liu

1.1k total citations
55 papers, 364 citations indexed

About

Dongnan Liu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dongnan Liu has authored 55 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 15 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dongnan Liu's work include Neural Networks Stability and Synchronization (10 papers), Stability and Control of Uncertain Systems (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Dongnan Liu is often cited by papers focused on Neural Networks Stability and Synchronization (10 papers), Stability and Control of Uncertain Systems (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Dongnan Liu collaborates with scholars based in Australia, China and United States. Dongnan Liu's co-authors include Weidong Cai, Bin Liu, Yang Song, Chaoyi Zhang, Heng Huang, Donghao Zhang, Lauren J. O’Donnell, Chenyu Wang, Michael Barnett and Zhijie Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and IEEE Transactions on Image Processing.

In The Last Decade

Dongnan Liu

46 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongnan Liu Australia 12 148 138 78 72 71 55 364
Zhe Nie China 11 132 0.9× 187 1.4× 27 0.3× 20 0.3× 77 1.1× 34 421
Xiaoli Ruan China 9 52 0.4× 87 0.6× 25 0.3× 76 1.1× 128 1.8× 18 377
Li Guo China 11 254 1.7× 261 1.9× 40 0.5× 18 0.3× 35 0.5× 66 524
Rajib Kumar Jha India 10 76 0.5× 128 0.9× 41 0.5× 14 0.2× 19 0.3× 40 290
Paulo S. Rodrigues Brazil 11 173 1.2× 130 0.9× 80 1.0× 7 0.1× 43 0.6× 44 370
Amita Nandal India 10 82 0.6× 189 1.4× 37 0.5× 34 0.5× 36 0.5× 36 370
Rahime Ceylan Türkiye 10 131 0.9× 44 0.3× 45 0.6× 33 0.5× 30 0.4× 20 333
Yijie Zhang China 10 131 0.9× 125 0.9× 44 0.6× 30 0.4× 30 0.4× 33 417
Weide Liu Singapore 13 209 1.4× 348 2.5× 49 0.6× 12 0.2× 36 0.5× 41 484
Rishav Pramanik India 11 202 1.4× 101 0.7× 99 1.3× 8 0.1× 20 0.3× 14 383

Countries citing papers authored by Dongnan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dongnan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongnan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Dongnan Liu. A scholar is included among the top collaborators of Dongnan Liu 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 Dongnan Liu. Dongnan Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Benteng, et al.. (2025). Contrastive Neuron Pruning for Backdoor Defense. IEEE Transactions on Image Processing. 34. 1234–1245.
2.
Chen, Yuqian, Dongnan Liu, Leo Zekelman, et al.. (2025). A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography. Human Brain Mapping. 46(16). e70396–e70396.
3.
Liu, Bin, Mingzhou Li, Yang Shi, & Dongnan Liu. (2025). Robust finite-time input-to-state stability via impulsive hybrid control for uncertain dynamical systems with disturbances. ISA Transactions. 160. 97–110. 2 indexed citations
4.
Liu, Dongnan, et al.. (2024). Cross-View Consistency Regularisation for Knowledge Distillation. 2011–2020. 1 indexed citations
5.
6.
Liu, Dongnan, et al.. (2024). Complex Organ Mask Guided Radiology Report Generation. 7980–7989. 13 indexed citations
7.
8.
Xu, Hao, Dongnan Liu, Fan Zhang, et al.. (2023). A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject. 1–5. 2 indexed citations
9.
Liu, Bin, et al.. (2023). Full‐order impulsive observers for impulsive systems with unknown inputs. Asian Journal of Control. 25(4). 3169–3180. 5 indexed citations
10.
Li, Zhiyuan, Dongnan Liu, & Weidong Cai. (2023). Multi-modal Domain Adaptation for Text Visual Question Answering Tasks. 17. 371–378. 1 indexed citations
11.
Liu, Dongnan, Mariano Cabezas, Dongang Wang, et al.. (2023). Multiple sclerosis lesion segmentation: revisiting weighting mechanisms for federated learning. Frontiers in Neuroscience. 17. 1167612–1167612. 12 indexed citations
12.
13.
Shi, Yixiong, Chenyu Wang, Dongnan Liu, Weidong Cai, & Mariano Cabezas. (2023). Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification. 41–48. 1 indexed citations
14.
Chen, Sheng, Arkiev D’Souza, Dongnan Liu, et al.. (2023). High angular diffusion tensor imaging estimation from minimal evenly distributed diffusion gradient directions. SHILAP Revista de lepidopterología. 3. 1238566–1238566. 1 indexed citations
15.
Xiang, Tiange, Chaoyi Zhang, Xinyi Wang, et al.. (2022). Towards bi-directional skip connections in encoder-decoder architectures and beyond. Medical Image Analysis. 78. 102420–102420. 13 indexed citations
16.
Zhang, Donghao, Yang Song, Dongnan Liu, et al.. (2020). 3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation. 1775–1779. 4 indexed citations
17.
Xu, Chengjie, Ying Zheng, Housheng Su, Dongnan Liu, & Xingguo Liu. (2014). Adaptive synchronization for nonlinear coupled complex network with nonidentical nodes. 46. 5750–5754. 3 indexed citations
18.
Liu, Dongnan, Chengjie Xu, & Bin Liu. (2013). ISS-type comparison principles and ISS for discrete-time dynamical networks with time-delays. 1 indexed citations
19.
Liu, Bin, Dongnan Liu, & Chunxia Dou. (2012). Optimal control for switched systems with impulsive effects. ANU Open Research (Australian National University). 2197–2202.
20.
Liu, Bin, Chengjie Xu, & Dongnan Liu. (2011). Input‐to‐state‐stability‐type comparison principles and input‐to‐state stability for discrete‐time dynamical networks with time delays. International Journal of Robust and Nonlinear Control. 23(4). 450–472. 20 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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