Nanqing Dong

1.9k total citations · 1 hit paper
25 papers, 763 citations indexed

About

Nanqing Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Nanqing Dong has authored 25 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Nanqing Dong's work include Domain Adaptation and Few-Shot Learning (5 papers), Privacy-Preserving Technologies in Data (4 papers) and COVID-19 diagnosis using AI (4 papers). Nanqing Dong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Privacy-Preserving Technologies in Data (4 papers) and COVID-19 diagnosis using AI (4 papers). Nanqing Dong collaborates with scholars based in China, United Kingdom and United States. Nanqing Dong's co-authors include Eric P. Xing, Haochen Hua, Junwei Cao, Yutong Li, Wei Li, Tonghe Wang, Michael Kampffmeyer, Xingying Chen, Zidong Wang and Yuchao Qin and has published in prestigious journals such as Nature Communications, Journal of Agricultural and Food Chemistry and IEEE Transactions on Image Processing.

In The Last Decade

Nanqing Dong

21 papers receiving 734 citations

Hit Papers

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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.

Edge Computing with Artificial Intelligence: A Machine Learning Perspective

2022 267 citations Haochen Hua, Yutong Li et al. ACM Computing Surveys profile →

Peers

Countries citing papers authored by Nanqing Dong

Since Specialization

Citations

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

Fields of papers citing papers by Nanqing Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanqing Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Nanqing Dong. A scholar is included among the top collaborators of Nanqing Dong 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 Nanqing Dong. Nanqing Dong 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	Deep generative model for protein subcellular localization prediction 2025 ·Briefings in Bioinformatics ·(unknown), Jinzhe Li, (unknown), Yaoqi Chen, (unknown), (unknown), Wanli Ouyang, Nanqing Dong, (unknown)	0
2	Structure-Informed Insights into Catalytic Mechanism and Multidomain Collaboration in α-Agarase CmAga 2025 ·Journal of Agricultural and Food Chemistry ·Yuxian You, (unknown), Min Luo, Xianfeng Zheng, Nanqing Dong, (unknown), Caiming Li, Haocun Kong, Zhengbiao Gu, Daiwen Yang, Zhaofeng Li	0
3	π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing 2025 ·Nature Communications ·Xiang Zhang, (unknown), (unknown), Sheng Xu, (unknown), (unknown), (unknown), Jiaqi Wei, Nanqing Dong, Guangshuai Wang, Guibin Wang, Leyuan Li, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Fuchu He, Wanli Ouyang, Cheng Chang, Siqi Sun	6
4	SeedLLM·Rice: A large language model integrated with rice biological knowledge graph 2025 ·Molecular Plant ·Fan Yang, (unknown), Ying Jie, (unknown), Tao Luo, Wanli Jiang, (unknown), (unknown), Zhi‐Yao Ma, (unknown), (unknown), Xiaoyi Wang, (unknown), (unknown), (unknown), (unknown), Qing Wang, Fan Chen, Nanqing Dong	1
5	ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Xiang Zhang, (unknown), Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, (unknown)	8
6	Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling Under Data Governance 2024 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·(unknown), Nanqing Dong, Di Liu, (unknown), Junwei Cao	0
7	Defending Against Poisoning Attacks in Federated Learning With Blockchain 2024 ·IEEE Transactions on Artificial Intelligence ·Nanqing Dong, Zhipeng Wang, (unknown), Michael Kampffmeyer, William J. Knottenbelt, Eric P. Xing	15
8	Smoke veil prior regularized surgical field desmoking without paired in-vivo data 2023 ·Computers in Biology and Medicine ·Congcong Wang, Meng Zhao, (unknown), Nanqing Dong, (unknown), (unknown), Faouzi Alaya Cheikh, Azeddine Beghdadi, Shengyong Chen	1
9	Demand-Side Joint Electricity and Carbon Trading Mechanism 2023 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Haochen Hua, Xingying Chen, Lei Gan, (unknown), Nanqing Dong, Di Liu, (unknown), Kang Li, Shiyan Hu	30
10	Edge Computing with Artificial Intelligence: A Machine Learning Perspective breakdown → 2022 ·ACM Computing Surveys ·Haochen Hua, Yutong Li, Tonghe Wang, Nanqing Dong, Wei Li, Junwei Cao	267
11	Negational symmetry of quantum neural networks for binary pattern classification 2022 ·Pattern Recognition ·Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing	5
12	Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Aleš Leonardis, Steven McDonagh	4
13	Federated Partially Supervised Learning With Limited Decentralized Medical Images 2022 ·IEEE Transactions on Medical Imaging ·Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing	14
14	Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision 2022 ·2022 IEEE International Conference on Image Processing (ICIP) ·Ziyang Wang, Nanqing Dong, Irina Voiculescu	8
15	Data-Driven Dynamical Control for Bottom-up Energy Internet System 2021 ·IEEE Transactions on Sustainable Energy ·Haochen Hua, (unknown), Nanqing Dong, Yuchao Qin, Maojiao Ye, Zidong Wang, Xingying Chen, Junwei Cao	102
16	Towards robust partially supervised multi-structure medical image segmentation on small-scale data 2021 ·Applied Soft Computing ·Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing	14
17	Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images 2019 ·Zeya Wang, Nanqing Dong, (unknown), Min Xu, Pengtao Xie, Eric P. Xing	16
18	Few-Shot Semantic Segmentation with Prototype Learning. 2018 ·British Machine Vision Conference ·Nanqing Dong, Eric P. Xing	188
19	Toward Understanding the Impact of Staleness in Distributed Machine Learning 2018 ·arXiv (Cornell University) ·Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing	8
20	ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation 2018 ·IEEE Transactions on Image Processing ·Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing	48

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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