Wei Wu

2.8k total citations
133 papers, 2.1k citations indexed

About

Wei Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei Wu has authored 133 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 42 papers in Electrical and Electronic Engineering and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei Wu's work include Neural Networks and Applications (33 papers), Machine Learning and ELM (27 papers) and Advanced Memory and Neural Computing (10 papers). Wei Wu is often cited by papers focused on Neural Networks and Applications (33 papers), Machine Learning and ELM (27 papers) and Advanced Memory and Neural Computing (10 papers). Wei Wu collaborates with scholars based in China, United States and United Kingdom. Wei Wu's co-authors include Jie Yang, Jacek M. Żurada, Junhong Zhao, Jian Wang, Qinwei Fan, Yanyan Cao, Jonathan V. Caspar, Qijie Guo, Lynda K. Johnson and Kaushik Roy Choudhury and has published in prestigious journals such as Journal of the American Chemical Society, Applied Physics Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Wei Wu

116 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Wu China 21 811 731 417 301 214 133 2.1k
Bobak Shahriari United States 4 1.1k 1.3× 482 0.7× 395 0.9× 235 0.8× 351 1.6× 6 3.4k
Zhili Chen China 31 700 0.9× 1.0k 1.4× 375 0.9× 811 2.7× 83 0.4× 196 3.6k
Jian Wang China 29 730 0.9× 1.0k 1.4× 181 0.4× 479 1.6× 189 0.9× 222 3.6k
Ying Wang China 28 667 0.8× 1.2k 1.7× 226 0.5× 1.4k 4.5× 168 0.8× 336 4.0k
Clayton Scott United States 30 907 1.1× 181 0.2× 467 1.1× 338 1.1× 131 0.6× 111 2.4k
Min Zhang China 26 370 0.5× 542 0.7× 89 0.2× 461 1.5× 70 0.3× 181 2.3k
Qian Li China 24 691 0.9× 407 0.6× 91 0.2× 376 1.2× 76 0.4× 231 2.3k
Hao Yu Singapore 31 511 0.6× 2.3k 3.2× 96 0.2× 227 0.8× 338 1.6× 251 4.1k

Countries citing papers authored by Wei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wu. A scholar is included among the top collaborators of Wei Wu 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 Wei Wu. Wei Wu 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.
Wu, Wei, et al.. (2025). E-SegNet: E-Shaped Structure Networks for Accurate 2D and 3D Medical Image Segmentation. Research. 8. 869–869. 1 indexed citations
2.
Chen, Yanyan, Shizhen Tao, Wei Wu, et al.. (2025). The occurrence, origin, and enrichment of helium in the Wufeng-Longmaxi shale gas in the Sichuan Basin, China. Petroleum Science. 22(8). 3119–3132.
3.
4.
Wang, Jian, et al.. (2023). Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. Neurocomputing. 569. 127118–127118. 7 indexed citations
5.
6.
Pedrycz, Witold, et al.. (2023). Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Transactions on Fuzzy Systems. 31(12). 4235–4248.
7.
Wu, Wei, et al.. (2022). The relationship between China's provincial carbon balance capacity and urbanization under carbon neutrality target. 自然资源学报. 37(12). 3136–3136. 2 indexed citations
8.
Liu, Gang, et al.. (2020). An SVM-Based Nested Sliding Window Approach for Spectral–Spatial Classification of Hyperspectral Images. Remote Sensing. 13(1). 114–114. 20 indexed citations
9.
Li, Feng, Jacek M. Żurada, & Wei Wu. (2018). Smooth group L1/2 regularization for input layer of feedforward neural networks. Neurocomputing. 314. 109–119. 36 indexed citations
10.
Zhao, Junhong, Jacek M. Żurada, Jie Yang, & Wei Wu. (2018). The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks. 103. 19–28. 17 indexed citations
11.
Fan, Qinwei, Wei Wu, & Jacek M. Żurada. (2016). Convergence of batch gradient learning with smoothing regularization and adaptive momentum for neural networks. SpringerPlus. 5(1). 295–295. 17 indexed citations
12.
Wu, Wei, et al.. (2014). An Algorithm for Motif Discovery with Iteration on Lengths of Motifs. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(1). 136–141. 5 indexed citations
13.
Wu, Wei, et al.. (2013). Batch gradient method with smoothing regularization for training of feedforward neural networks. Neural Networks. 50. 72–78. 63 indexed citations
14.
Yang, Wenyu, et al.. (2012). A remark on the error-backpropagation learning algorithm for spiking neural networks. Applied Mathematics Letters. 25(8). 1118–1120. 12 indexed citations
15.
Wu, Wei. (2011). Segmentation method based on local complexity information measurement for coronary angiograms. Journal of Optoelectronics·laser.
16.
Qu, Yanpeng, Changjing Shang, Wei Wu, & Qiang Shen. (2011). Evolutionary Fuzzy Extreme Learning Machine for Mammographic Risk Analysis. International Journal of Fuzzy Systems. 13(4). 282–291. 45 indexed citations
17.
Wu, Wei. (2010). Concentration Estimation of Gas Mixture Using a Wavelet-Based DPFNN. Chuangan jishu xuebao. 2 indexed citations
18.
Shao, Hongmei, Wei Wu, & Lijun Liu. (2006). Convergence of an online gradient algorithm with penalty for two-layer neural networks. International Conference on Applied Mathematics. 107–111. 1 indexed citations
19.
Wu, Wei, et al.. (2003). Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns. Applied Mathematics Letters. 16(7). 999–1002. 5 indexed citations
20.
Wu, Wei. (2002). Advance of research in forest environmental value evaluation. Zhejiang Linxueyuan xuebao.

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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