Nan Du

1.4k total citations · 1 hit paper
16 papers, 536 citations indexed

About

Nan Du is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Nan Du has authored 16 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Molecular Biology and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Nan Du's work include Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (3 papers) and Complex Network Analysis Techniques (3 papers). Nan Du is often cited by papers focused on Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (3 papers) and Complex Network Analysis Techniques (3 papers). Nan Du collaborates with scholars based in China, United States and Germany. Nan Du's co-authors include Yong Liu, Zhen Qian, Xiaohui Xie, Xuming Chen, Wentao Zhu, Liang Zeng, Yufang Huang, Wei Fan, Wei Fan and Yaliang Li and has published in prestigious journals such as Medical Physics, Journal of Machine Learning Research and Chaos An Interdisciplinary Journal of Nonlinear Science.

In The Last Decade

Nan Du

15 papers receiving 519 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.

AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy

2018 362 citations Wentao Zhu, Yufang Huang et al. Medical Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nan Du China	9	201	201	143	106	77	16	536
Ta Zhou China	15	282 1.4×	190 0.9×	59 0.4×	61 0.6×	25 0.3×	54	615
Jin Wu China	14	207 1.0×	110 0.5×	46 0.3×	75 0.7×	81 1.1×	42	649
Rongjun Ge China	16	133 0.7×	305 1.5×	271 1.9×	220 2.1×	14 0.2×	35	657
Vincent Andrearczyk Switzerland	13	276 1.4×	338 1.7×	147 1.0×	110 1.0×	36 0.5×	34	605
Georgios C. Anagnostopoulos United States	13	211 1.0×	80 0.4×	115 0.8×	54 0.5×	167 2.2×	47	570
Zheng Miao China	12	185 0.9×	119 0.6×	441 3.1×	83 0.8×	51 0.7×	28	863
José Marcio Luna United States	10	109 0.5×	126 0.6×	29 0.2×	34 0.3×	53 0.7×	28	356
Yipeng Huang United States	15	91 0.5×	194 1.0×	24 0.2×	76 0.7×	111 1.4×	40	634
Shanhui Sun United States	14	139 0.7×	361 1.8×	265 1.9×	140 1.3×	26 0.3×	31	677

Countries citing papers authored by Nan Du

Since Specialization

Citations

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

Fields of papers citing papers by Nan Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Du

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Du. A scholar is included among the top collaborators of Nan Du 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 Nan Du. Nan Du 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:

16 of 16 papers shown

1.

Gao, Ting, et al.. (2023). Model-based reinforcement learning with non-Gaussian environment dynamics and its application to portfolio optimization. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(8). 5 indexed citations

2.

Dong, Xuanyi, et al.. (2023). DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. 69798–69818.

3.

Xue, Yuan, Nan Du, Anne Mottram, Martin Seneviratne, & Andrew M. Dai. (2020). Learning to Select Best Forecast Tasks for Clinical Outcome Prediction. Neural Information Processing Systems. 33. 15031–15041. 3 indexed citations

4.

Shen, Sheng, Yaliang Li, Nan Du, et al.. (2020). On the Generation of Medical Question-Answer Pairs. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8822–8829. 13 indexed citations

5.

Zhang, Chenwei, Yaliang Li, Nan Du, Wei Fan, & Philip S. Yu. (2020). Entity Synonym Discovery via Multipiece Bilateral Context Matching. 1431–1437. 5 indexed citations

6.

Du, Nan, et al.. (2019). Learning to Infer Entities, Properties and their Relations from Clinical Conversations. 15 indexed citations

7.

Deng, Yang, Yuexiang Xie, Yaliang Li, et al.. (2019). Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6318–6325. 36 indexed citations

8.

Lei, Kai, Daoyuan Chen, Yaliang Li, et al.. (2018). Cooperative Denoising for Distantly Supervised Relation Extraction. International Conference on Computational Linguistics. 426–436. 12 indexed citations

9.

Deng, Yang, Ying Shen, Min Yang, et al.. (2018). Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 3295–3305. 16 indexed citations

10.

Li, Shuang, Shuai Xiao, Shixiang Zhu, et al.. (2018). Learning Temporal Point Processes via Reinforcement Learning. arXiv (Cornell University). 31. 10781–10791. 16 indexed citations

11.

Zhu, Wentao, Yufang Huang, Liang Zeng, et al.. (2018). AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy. Medical Physics. 46(2). 576–589. 362 indexed citations breakdown →

12.

Du, Nan, Yingyu Liang, Maria-Florina Balcan, et al.. (2017). Scalable inuence maximization for multiple products in continuous-time diffusion networks. Journal of Machine Learning Research. 18(1). 30–74. 16 indexed citations

13.

Du, Nan, et al.. (2014). Learning Time-Varying Coverage Functions.. PubMed. 2014. 4 indexed citations

14.

Du, Nan, et al.. (2012). BioStar+. 2(3). 6–16. 2 indexed citations

15.

Du, Nan. (2009). Research of parallel technology in massive commerce data management system. Jisuanji yingyong yanjiu. 2 indexed citations

16.

Du, Nan, et al.. (2009). Large human communication networks. 269–278. 29 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.

Explore authors with similar magnitude of impact