Zongxia Xie

2.2k total citations
44 papers, 1.6k citations indexed

About

Zongxia Xie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Zongxia Xie has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Computational Theory and Mathematics. Recurrent topics in Zongxia Xie's work include Rough Sets and Fuzzy Logic (10 papers), Solar and Space Plasma Dynamics (8 papers) and Energy Load and Power Forecasting (6 papers). Zongxia Xie is often cited by papers focused on Rough Sets and Fuzzy Logic (10 papers), Solar and Space Plasma Dynamics (8 papers) and Energy Load and Power Forecasting (6 papers). Zongxia Xie collaborates with scholars based in China, Sweden and Germany. Zongxia Xie's co-authors include Qinghua Hu, Daren Yu, Donghyeon Yu, Jinfu Liu, Shiguang Zhang, Man Yu, Yong Xu, Ju‐Sheng Mi, Xiaodong Li and Juntao Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Energy Conversion and Management.

In The Last Decade

Zongxia Xie

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zongxia Xie China 16 913 766 526 273 260 44 1.6k
Daniel Yeung Hong Kong 17 869 1.0× 770 1.0× 290 0.6× 661 2.4× 364 1.4× 69 1.9k
Chanyoung Park United States 13 339 0.4× 554 0.7× 588 1.1× 216 0.8× 224 0.9× 57 1.4k
Hongxing Li China 24 250 0.3× 707 0.9× 422 0.8× 332 1.2× 144 0.6× 154 2.1k
Lam Thu Bui Vietnam 17 418 0.5× 556 0.7× 136 0.3× 119 0.4× 116 0.4× 69 1.1k
David P. Helmbold United States 25 283 0.3× 1.2k 1.6× 214 0.4× 605 2.2× 215 0.8× 73 2.5k
Mingwen Shao China 26 1.6k 1.7× 1.1k 1.4× 891 1.7× 458 1.7× 750 2.9× 147 2.5k
Krzysztof Socha Belgium 9 384 0.4× 922 1.2× 88 0.2× 216 0.8× 153 0.6× 15 1.7k
Dominic Grenier Canada 12 255 0.3× 621 0.8× 121 0.2× 494 1.8× 112 0.4× 54 1.3k
Shuyin Xia China 24 584 0.6× 1.2k 1.5× 332 0.6× 63 0.2× 658 2.5× 107 1.8k

Countries citing papers authored by Zongxia Xie

Since Specialization
Citations

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

Fields of papers citing papers by Zongxia Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongxia Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Zongxia Xie. A scholar is included among the top collaborators of Zongxia Xie 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 Zongxia Xie. Zongxia Xie 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.
Chen, Dongyue, et al.. (2025). Long-Tail Class Incremental Learning via Bias Calibration With Application to Continuous Fault Diagnosis. IEEE Transactions on Neural Networks and Learning Systems. 37(1). 204–218. 1 indexed citations
2.
Xie, Zongxia, et al.. (2025). PPGF: Probability Pattern-Guided Time Series Forecasting. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14790–14801. 1 indexed citations
3.
Xie, Zongxia, et al.. (2024). Lightweight convolutional neural networks with context broadcast transformer for real-time semantic segmentation. Image and Vision Computing. 146. 105053–105053. 4 indexed citations
4.
Xie, Zongxia, et al.. (2024). ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation. International Journal of Machine Learning and Cybernetics. 15(7). 2987–3003. 5 indexed citations
5.
Xie, Zongxia, et al.. (2023). AFRF: Angle Feature Retrieval Based Popularity Forecasting. 2606–2615.
6.
Chen, Dongyue, Zongxia Xie, Ruonan Liu, et al.. (2023). Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18635–18648. 14 indexed citations
7.
Chen, Yanzhe & Zongxia Xie. (2022). Multi-channel fusion graph neural network for multivariate time series forecasting. Journal of Computational Science. 64. 101862–101862. 7 indexed citations
8.
Xie, Zongxia, et al.. (2022). Accurate Solar Wind Speed Prediction with Multimodality Information. SHILAP Revista de lepidopterología. 2022. 8 indexed citations
9.
Xie, Zongxia, et al.. (2022). Solar Wind Speed Prediction via Graph Attention Network. Space Weather. 20(7). 8 indexed citations
10.
Chen, Hao, Ruonan Liu, Zongxia Xie, et al.. (2021). Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognition. 123. 108383–108383. 22 indexed citations
11.
12.
Xie, Zongxia, et al.. (2021). Solar Wind Speed Prediction With Two‐Dimensional Attention Mechanism. Space Weather. 19(7). 10 indexed citations
13.
Xie, Zongxia, Renhui Li, & Hui Hu. (2020). Interval prediction for time series based on LSTM and mixed Gaussian distribution. 70. 2648–2655. 2 indexed citations
14.
Xie, Zongxia, et al.. (2018). Large-scale support vector regression with budgeted stochastic gradient descent. International Journal of Machine Learning and Cybernetics. 10(6). 1529–1541. 10 indexed citations
15.
Xie, Zongxia & Xiaofei Sun. (2017). Imputation of missing wind speed data based on low-rank matrix approximation. 3. 397–401. 4 indexed citations
16.
Hu, Qinghua, Shiguang Zhang, Zongxia Xie, Ju‐Sheng Mi, & Jie Wan. (2014). Noise model based ν-support vector regression with its application to short-term wind speed forecasting. Neural Networks. 57. 1–11. 68 indexed citations
17.
Xie, Zongxia, et al.. (2009). Properties of magnetic elements in the quiet Sun using the marker-controlled watershed method. Astronomy and Astrophysics. 505(2). 801–810. 6 indexed citations
18.
Hu, Qinghua, Zongxia Xie, & Daren Yu. (2007). Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recognition. 40(12). 3509–3521. 324 indexed citations
19.
Hu, Qinghua, Donghyeon Yu, Zongxia Xie, & Jinfu Liu. (2006). Fuzzy probabilistic approximation spaces and their information measures. IEEE Transactions on Fuzzy Systems. 14(2). 191–201. 273 indexed citations
20.
Hu, Qinghua, Daren Yu, & Zongxia Xie. (2005). Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique. 195–204. 1 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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