Xiaowei Gu

2.6k total citations
94 papers, 1.8k citations indexed

About

Xiaowei Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xiaowei Gu has authored 94 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 15 papers in Signal Processing. Recurrent topics in Xiaowei Gu's work include Neural Networks and Applications (26 papers), Fuzzy Logic and Control Systems (21 papers) and Data Stream Mining Techniques (16 papers). Xiaowei Gu is often cited by papers focused on Neural Networks and Applications (26 papers), Fuzzy Logic and Control Systems (21 papers) and Data Stream Mining Techniques (16 papers). Xiaowei Gu collaborates with scholars based in United Kingdom, China and Bulgaria. Xiaowei Gu's co-authors include Plamen Angelov, José C. Prı́ncipe, Qiang Shen, Dmitry Kangin, Ce Zhang, Peter M. Atkinson, Guolin Tang, Zhijin Zhao, Пэйдэ Лю and Francisco Chiclana and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Geophysical Research Letters.

In The Last Decade

Xiaowei Gu

92 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaowei Gu United Kingdom 27 930 290 259 195 147 94 1.8k
Changjing Shang United Kingdom 26 889 1.0× 492 1.7× 361 1.4× 162 0.8× 179 1.2× 162 2.2k
Patrick Siarry France 21 879 0.9× 630 2.2× 272 1.1× 174 0.9× 231 1.6× 35 2.1k
Chieh-Jen Wang Taiwan 6 923 1.0× 261 0.9× 190 0.7× 121 0.6× 73 0.5× 19 1.7k
Hadi Sadoghi Yazdi Iran 22 885 1.0× 489 1.7× 212 0.8× 64 0.3× 99 0.7× 184 2.0k
Bahador Khaleghi Canada 8 597 0.6× 286 1.0× 300 1.2× 73 0.4× 117 0.8× 17 1.5k
Lei Lei China 22 565 0.6× 208 0.7× 165 0.6× 434 2.2× 85 0.6× 89 1.3k
Birmohan Singh India 17 591 0.6× 300 1.0× 99 0.4× 65 0.3× 88 0.6× 62 1.9k
Qasem Al-Tashi Malaysia 16 946 1.0× 322 1.1× 263 1.0× 90 0.5× 47 0.3× 39 2.1k
Itamar Arel United States 12 679 0.7× 389 1.3× 426 1.6× 60 0.3× 112 0.8× 34 1.9k

Countries citing papers authored by Xiaowei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Gu. A scholar is included among the top collaborators of Xiaowei Gu 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 Xiaowei Gu. Xiaowei Gu 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.
Gu, Xiaowei, Plamen Angelov, & Qiang Shen. (2024). Semisupervised Fuzzily Weighted Adaptive Boosting for Classification. IEEE Transactions on Fuzzy Systems. 32(4). 2318–2330. 8 indexed citations
2.
Tang, Danling, Huizeng Liu, Hongbin Liu, et al.. (2024). Modeling Ocean Cooling Induced by Tropical Cyclone Wind Pump Using Explainable Machine Learning Framework. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 4 indexed citations
3.
Gu, Xiaowei, Qiang Ni, & Qiang Shen. (2024). Multilayer Evolving Fuzzy Neural Networks With Self-Adaptive Dimensionality Compression for High-Dimensional Data Classification. IEEE Transactions on Fuzzy Systems. 32(11). 6314–6328. 4 indexed citations
4.
Tang, Guolin, Xiaowei Gu, Francisco Chiclana, Пэйдэ Лю, & Kedong Yin. (2023). A multi-objective q-rung orthopair fuzzy programming approach to heterogeneous group decision making. Information Sciences. 645. 119343–119343. 26 indexed citations
5.
Tang, Danling, et al.. (2023). Composite Analysis-Based Machine Learning for Prediction of Tropical Cyclone-Induced Sea Surface Height Anomaly. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 2644–2653. 7 indexed citations
6.
Gu, Xiaowei, Plamen Angelov, Jungong Han, & Qiang Shen. (2023). Multilayer Evolving Fuzzy Neural Networks. IEEE Transactions on Fuzzy Systems. 31(12). 4158–4169. 17 indexed citations
7.
Tang, Danling, et al.. (2023). Predicting Tropical Cyclone‐Induced Sea Surface Temperature Responses Using Machine Learning. Geophysical Research Letters. 50(18). 15 indexed citations
8.
Gu, Xiaowei, Plamen Angelov, & Qiang Shen. (2022). Self-Organizing Fuzzy Belief Inference System for Classification. IEEE Transactions on Fuzzy Systems. 30(12). 5473–5483. 16 indexed citations
9.
Gu, Xiaowei, et al.. (2022). Multiobjective Evolutionary Optimization for Prototype-Based Fuzzy Classifiers. IEEE Transactions on Fuzzy Systems. 31(5). 1703–1715. 4 indexed citations
10.
Gu, Xiaowei & Plamen Angelov. (2021). Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification. IEEE Transactions on Fuzzy Systems. 30(9). 3722–3735. 16 indexed citations
11.
Gu, Xiaowei, Qiang Shen, & Plamen Angelov. (2020). Particle Swarm Optimized Autonomous Learning Fuzzy System. IEEE Transactions on Cybernetics. 51(11). 5352–5363. 28 indexed citations
12.
Soares, Eduardo, Plamen Angelov, & Xiaowei Gu. (2020). Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. Applied Soft Computing. 94. 106449–106449. 35 indexed citations
13.
Gu, Xiaowei & Plamen Angelov. (2020). Highly interpretable hierarchical deep rule-based classifier. Applied Soft Computing. 92. 106310–106310. 11 indexed citations
14.
Gu, Xiaowei, Plamen Angelov, & Zhijin Zhao. (2019). A distance-type-insensitive clustering approach. Applied Soft Computing. 77. 622–634. 8 indexed citations
15.
Gu, Xiaowei & Plamen Angelov. (2019). Self-boosting first-order autonomous learning neuro-fuzzy systems. Applied Soft Computing. 77. 118–134. 18 indexed citations
16.
Gu, Xiaowei & Plamen Angelov. (2018). Semi-supervised deep rule-based approach for image classification. Applied Soft Computing. 68. 53–68. 34 indexed citations
17.
Rong, Hai-Jun, et al.. (2018). Stability of Evolving Fuzzy Systems Based on Data Clouds. IEEE Transactions on Fuzzy Systems. 26(5). 2774–2784. 23 indexed citations
18.
Gu, Xiaowei, Plamen Angelov, Ce Zhang, & Peter M. Atkinson. (2018). A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes. IEEE Geoscience and Remote Sensing Letters. 15(3). 345–349. 41 indexed citations
19.
Angelov, Plamen, Xiaowei Gu, & José C. Prı́ncipe. (2017). Autonomous Learning Multimodel Systems From Data Streams. IEEE Transactions on Fuzzy Systems. 26(4). 2213–2224. 61 indexed citations
20.
Gu, Xiaowei. (2010). Trend Forecast and Scenario Simulation Analysis of Ecological Footprints in China. Journal of Northeastern University. 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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