Danya Xu

1.6k total citations · 1 hit paper
54 papers, 1.2k citations indexed

About

Danya Xu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Danya Xu has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 17 papers in Oceanography. Recurrent topics in Danya Xu's work include Tropical and Extratropical Cyclones Research (16 papers), Oceanographic and Atmospheric Processes (13 papers) and Ocean Waves and Remote Sensing (9 papers). Danya Xu is often cited by papers focused on Tropical and Extratropical Cyclones Research (16 papers), Oceanographic and Atmospheric Processes (13 papers) and Ocean Waves and Remote Sensing (9 papers). Danya Xu collaborates with scholars based in China, United States and Spain. Danya Xu's co-authors include Huijie Xue, Neal R. Pettigrew, Tao Song, Fei Chai, Maochong Shi, Jianping Xu, Fan Meng, Pengfei Xie, Nicholas H. Wolff and Lewis S. Incze and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Expert Systems with Applications and Remote Sensing.

In The Last Decade

Danya Xu

50 papers receiving 1.2k 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.

Graph convolutional network soft sensor for process quality prediction

2023 82 citations Mingwei Jia, Danya Xu et al. profile →

Peers

Danya Xu

OCEAN

GPC

AS

ECOLO

CSE

Kilian Vos Australia

Pengfei Xue United States

Ziwei Li China

K. Venkatesh Prasad India

Igor Shulman United States

Yi Ma China

Fabio Marchese Italy

Tomasz Niedzielski Poland

Vassilia Karathanassi Greece

Hong Liang China

Kilian Vos Australia

Danya Xu

284 ×0.5

OCEAN

174 ×0.4

GPC

354 ×1.1

AS

580 ×3.0

ECOLO

102 ×0.9

CSE

Citations per year, relative to Danya Xu Danya Xu (= 1×) peers Kilian Vos

Countries citing papers authored by Danya Xu

Since Specialization

Citations

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

Fields of papers citing papers by Danya Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danya Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Danya Xu. A scholar is included among the top collaborators of Danya Xu 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 Danya Xu. Danya Xu 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

1.

Xu, Danya, Lei Xing, Tao Chen, et al.. (2025). Personalized federated learning with mixture of experts and conformal prediction for household energy forecasting. Expert Systems with Applications. 300. 130417–130417.

2.

Zhang, Yu, Ye Zhou, Changsheng Chen, et al.. (2025). Challenges in improving Arctic freshwater simulations: An evaluation of CMIP6 models in the Beaufort Gyre region. Ocean Modelling. 197. 102565–102565.

3.

Xu, Danya, et al.. (2024). Transformer-based probabilistic demand forecasting with adaptive online learning. Electric Power Systems Research. 240. 111255–111255. 2 indexed citations

4.

Xu, Danya, et al.. (2024). Fed-SMAE: Federated-Learning Based Time Series Anomaly Detection with Shared Memory Augmented Autoencoder. 1–6. 1 indexed citations

5.

Xu, Danya, Yi Liu, Guanghui Wen, et al.. (2024). DeFedTL: A Decentralized Federated Transfer Learning Method for Fault Diagnosis. IEEE Transactions on Industrial Informatics. 21(2). 1704–1713. 3 indexed citations

6.

Liu, Yi, Mingwei Jia, Danya Xu, Tao Yang, & Yuan Yao. (2024). Physics-guided graph learning soft sensor for chemical processes. Chemometrics and Intelligent Laboratory Systems. 249. 105131–105131. 20 indexed citations

7.

Zhang, Yu, Changsheng Chen, Lele Li, et al.. (2024). Assessment of radar freeboard, radar penetration rate, and snow depth for potential improvements in Arctic sea ice thickness retrieved from CryoSat-2. Cold Regions Science and Technology. 231. 104408–104408. 2 indexed citations

8.

Yao, Yichen, et al.. (2023). Probabilistic forecasting of tropical cyclones intensity using machine learning model. Environmental Research Letters. 18(4). 44042–44042. 8 indexed citations

9.

Li, Zhi, Danya Xu, Yuzhe Li, Tianyou Chai, & Tao Yang. (2023). OSVAE-GAN: Orthogonal Self-Attention Variational Autoencoder Generative Adversarial Networks for Time Series Anomaly Detection. 27. 19–24. 1 indexed citations

10.

Han, Yong, et al.. (2023). Evapotranspiration responses to CO2 and its driving mechanisms in four ecosystems based on CMIP6 simulations: Forest, shrub, farm and grass. Environmental Research. 223. 115417–115417. 8 indexed citations

11.

Song, Tao, et al.. (2023). Prediction of significant wave height based on EEMD and deep learning. Frontiers in Marine Science. 10. 22 indexed citations

12.

Jia, Mingwei, Danya Xu, Tao Yang, Yuan Yao, & Yi Liu. (2023). Dynamic Graph Learning Soft Sensor in Process Industry. 1 indexed citations

13.

Xu, Danya, Yibin Li, Yan Song, Lei Jia, & Yanjun Liu. (2021). IFDS: An Intelligent Fault Diagnosis System With Multisource Unsupervised Domain Adaptation for Different Working Conditions. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 23 indexed citations

14.

Song, Tao, et al.. (2021). Unsupervised Machine Learning for Improved Delaunay Triangulation. Journal of Marine Science and Engineering. 9(12). 1398–1398. 4 indexed citations

15.

Li, Ruixiang, Changsheng Chen, Wenjie Dong, et al.. (2021). Slope‐Intensified Storm‐Induced Near‐Inertial Oscillations in the South China Sea. Journal of Geophysical Research Oceans. 126(3). 13 indexed citations

16.

Chen, Changsheng, Robert C. Beardsley, Yu Zhang, et al.. (2021). Impacts of sea level rise on future storm-induced coastal inundations over massachusetts coast. Natural Hazards. 106(1). 375–399. 15 indexed citations

17.

Zhang, Yu, Changsheng Chen, Xinyi Shen, et al.. (2021). Role of sea level pressure in variations of the Canadian Arctic Archipelago throughflow. Advances in Climate Change Research. 12(4). 539–552. 5 indexed citations

18.

Li, Ying, Yong Li, Danya Xu, & Jingyu Jiang. (2021). Prediction of sea surface height based on recurrent neural network. 3(1). 43–43.

19.

Wei, Jun, Paola Malanotte‐Rizzoli, Elfatih A. B. Eltahir, Pengfei Xue, & Danya Xu. (2013). Coupling of a regional atmospheric model (RegCM3) and a regional oceanic model (FVCOM) over the maritime continent. Climate Dynamics. 43(5-6). 1575–1594. 38 indexed citations

20.

Liu, Kun, et al.. (2006). Primary study on effect of spring-fishing-ban season on fishery community structure and biodiversity in Changshu section of the Yangtze River. Changjiang liuyu ziyuan yu huanjing. 15(4). 442–446. 2 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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