Wei Yao

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

About

Wei Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Wei Yao has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 15 papers in Media Technology. Recurrent topics in Wei Yao's work include Remote-Sensing Image Classification (15 papers), Landslides and related hazards (11 papers) and Dam Engineering and Safety (10 papers). Wei Yao is often cited by papers focused on Remote-Sensing Image Classification (15 papers), Landslides and related hazards (11 papers) and Dam Engineering and Safety (10 papers). Wei Yao collaborates with scholars based in China, Germany and United States. Wei Yao's co-authors include Zhigang Zeng, Huiming Tang, Cheng Lian, Cheng Lian, Shiping Wen, Qinggang Meng, Tingwen Huang, Min Han, C. L. Philip Chen and Yixin Su and has published in prestigious journals such as International Journal of Remote Sensing, Remote Sensing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Wei Yao

39 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.

Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption

2015 291 citations Shiping Wen, Zhigang Zeng et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Yao China	17	408	314	282	262	189	43	1.2k
Fan Wu China	25	90 0.2×	103 0.3×	229 0.8×	25 0.1×	146 0.8×	183	1.8k
Sylvie Le Hégarat‐Mascle France	22	47 0.1×	105 0.3×	351 1.2×	43 0.2×	62 0.3×	71	1.6k
Fengxiang Jin China	12	50 0.1×	79 0.3×	259 0.9×	35 0.1×	79 0.4×	55	815
Srikanth Saripalli United States	28	71 0.2×	49 0.2×	205 0.7×	272 1.0×	158 0.8×	96	3.3k
Jan Škaloud Switzerland	24	44 0.1×	113 0.4×	434 1.5×	77 0.3×	232 1.2×	136	2.1k
Bradley J. Buckham Canada	27	40 0.1×	159 0.5×	94 0.3×	191 0.7×	223 1.2×	95	2.9k
Muhammad Shahzad Pakistan	22	22 0.1×	38 0.1×	353 1.3×	89 0.3×	116 0.6×	93	1.8k
Feng Xu China	23	22 0.1×	23 0.1×	253 0.9×	209 0.8×	178 0.9×	121	1.7k

Countries citing papers authored by Wei Yao

Since Specialization

Citations

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

Fields of papers citing papers by Wei Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yao

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

He, Ting, et al.. (2025). Multi-scroll hopfield neural network excited by memristive self-synapses and its application in image encryption. Chinese Physics B. 34(12). 120506–120506. 2 indexed citations

Yao, Wei, et al.. (2025). Fine-Grained Style Alignment and Class Balance for Unsupervised Domain Adaptation in Remote Sensing Image Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 16663–16679.

He, Shunfan, et al.. (2024). Online Compression of Multichannel Power Waveform Data in Distribution Grid With Novel Tensor Method. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 1 indexed citations

Yao, Wei, et al.. (2023). SCDA: A Style and Content Domain Adaptive Semantic Segmentation Method for Remote Sensing Images. Remote Sensing. 15(19). 4668–4668. 4 indexed citations

Zeng, Zhigang, et al.. (2023). CS2DT: Cross Spatial–Spectral Dense Transformer for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 18 indexed citations

Yao, Wei, Cheng Lian, & Lorenzo Bruzzone. (2022). A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image Classification. Remote Sensing. 14(19). 4982–4982. 2 indexed citations

Yao, Wei, et al.. (2021). An Active Learning Tool for the Generation of Earth Observation Image Benchmarks. elib (German Aerospace Center). 5720–5723.

Yao, Wei, et al.. (2021). Detection for overhead ground wire by lines clustering. Signal Image and Video Processing. 16(2). 447–455.

Yao, Wei, Cheng Lian, & Lorenzo Bruzzone. (2020). ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 18(11). 1991–1995. 18 indexed citations

10.

Zhao, Juanping, Zenghui Zhang, Wei Yao, et al.. (2020). OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 187–203. 53 indexed citations

11.

Lian, Cheng, Zhigang Zeng, Xiaoping Wang, et al.. (2020). Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization. Neural Networks. 130. 286–296. 45 indexed citations

12.

Ding, Feng, Jian Huang, Wei Yao, & Shunfan He. (2018). Anti-swing Control in Manipulation of a Deformable Linear Object using Dynamic Surface Control. 75. 503–508. 5 indexed citations

13.

Lian, Cheng, Zhigang Zeng, Wei Yao, Huiming Tang, & C. L. Philip Chen. (2016). Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights. IEEE Transactions on Neural Networks and Learning Systems. 27(12). 2683–2695. 65 indexed citations

14.

Wen, Shiping, Zhigang Zeng, Tingwen Huang, Qinggang Meng, & Wei Yao. (2015). Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption. IEEE Transactions on Neural Networks and Learning Systems. 26(7). 1493–1502. 291 indexed citations breakdown →

15.

Lian, Cheng, Zhigang Zeng, Wei Yao, & Huiming Tang. (2014). Extreme learning machine for the displacement prediction of landslide under rainfall and reservoir level. Stochastic Environmental Research and Risk Assessment. 28(8). 1957–1972. 78 indexed citations

16.

Yao, Wei, Zhigang Zeng, Cheng Lian, & Huiming Tang. (2014). Training enhanced reservoir computing predictor for landslide displacement. Engineering Geology. 188. 101–109. 55 indexed citations

17.

Yao, Wei, Zhigang Zeng, Cheng Lian, & Huiming Tang. (2013). Ensembles of echo state networks for time series prediction. 299–304. 9 indexed citations

18.

Lian, Cheng, Zhigang Zeng, Wei Yao, & Huiming Tang. (2013). Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis. Neural Computing and Applications. 24(1). 99–107. 90 indexed citations

19.

Zou, Gang & Wei Yao. (2010). A Synergetic classification algorithm based on prototype modify with particle swarm optimization measure. Signal Processing. 1 indexed citations

20.

Han, Min & Wei Yao. (2009). A two-step pansharpening of ETM+ TIR image based on SFIM and neural network regression. 1. 1371–1375. 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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