Weijie Ren

948 total citations
45 papers, 705 citations indexed

About

Weijie Ren is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Weijie Ren has authored 45 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 14 papers in Signal Processing and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Weijie Ren's work include Neural Networks and Applications (25 papers), Neural Networks and Reservoir Computing (12 papers) and Time Series Analysis and Forecasting (7 papers). Weijie Ren is often cited by papers focused on Neural Networks and Applications (25 papers), Neural Networks and Reservoir Computing (12 papers) and Time Series Analysis and Forecasting (7 papers). Weijie Ren collaborates with scholars based in China, Japan and Hong Kong. Weijie Ren's co-authors include Min Han, Xinghan Xu, Tie Qiu, Meiling Xu, Xiaoxin Liu, Yen‐Wei Chen, Ruiquan Zhang, Xiaohui Lin, Chao Li and Kai Zhong and has published in prestigious journals such as Expert Systems with Applications, Analytica Chimica Acta and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Weijie Ren

41 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weijie Ren China 18 348 138 122 105 91 45 705
Yacine Oussar France 16 288 0.8× 238 1.7× 152 1.2× 127 1.2× 226 2.5× 31 918
Kunikazu Kobayashi Japan 8 305 0.9× 192 1.4× 100 0.8× 111 1.1× 99 1.1× 68 685
Carlos Alzate Belgium 15 336 1.0× 80 0.6× 104 0.9× 280 2.7× 124 1.4× 36 809
Inés M. Galván Spain 17 440 1.3× 229 1.7× 53 0.4× 65 0.6× 82 0.9× 57 808
İbrahim Berkan Aydilek Türkiye 10 401 1.2× 136 1.0× 70 0.6× 108 1.0× 109 1.2× 29 872
Claudio Moraga Germany 13 366 1.1× 127 0.9× 69 0.6× 80 0.8× 89 1.0× 111 717
Masanao Obayashi Japan 9 349 1.0× 204 1.5× 114 0.9× 106 1.0× 97 1.1× 76 769
Chaoli Zhang China 8 366 1.1× 196 1.4× 269 2.2× 62 0.6× 99 1.1× 17 891
Alberto Mozó Spain 15 176 0.5× 128 0.9× 100 0.8× 67 0.6× 60 0.7× 50 719
Nabil Benoudjit Algeria 13 197 0.6× 147 1.1× 42 0.3× 114 1.1× 100 1.1× 33 715

Countries citing papers authored by Weijie Ren

Since Specialization
Citations

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

Fields of papers citing papers by Weijie Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijie Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Weijie Ren. A scholar is included among the top collaborators of Weijie Ren 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 Weijie Ren. Weijie Ren 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.
Ren, Weijie, et al.. (2025). YOLO11-MGNB: lightweight real-time small object detection algorithm for UAV remote sensing images. Journal of Real-Time Image Processing. 23(1).
2.
Lv, Fei, et al.. (2025). Task-oriented and attractor regularized multi-task learning for environmental spatial–temporal time series prediction. Knowledge and Information Systems. 67(10). 9307–9336.
3.
Ren, Weijie, et al.. (2024). Hierarchical Evolving Fuzzy System: A Method for Multidimensional Chaotic Time Series Online Prediction. IEEE Transactions on Fuzzy Systems. 32(6). 3329–3341. 11 indexed citations
4.
Liu, Jianwei, et al.. (2024). Continuous imputation of missing values in time series via Wasserstein generative adversarial imputation networks and variational auto-encoders model. Physica A Statistical Mechanics and its Applications. 647. 129914–129914. 2 indexed citations
6.
Zhang, Meng, Yiheng Chen, & Weijie Ren. (2024). Process Monitoring for the Flow Field of Wind Tunnel Systems with a One-Class Classifier Ensemble. Journal of Aerospace Engineering. 38(2).
7.
Han, Min, et al.. (2023). Kernel general loss algorithm based on evolving participatory learning for online time series prediction. Engineering Applications of Artificial Intelligence. 124. 106600–106600. 1 indexed citations
8.
Ren, Weijie, et al.. (2022). Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction. IEEE Transactions on Neural Networks and Learning Systems. 34(11). 9302–9313. 23 indexed citations
9.
Cajo, Ricardo, et al.. (2022). Power Tracking Control of Marine Boiler-Turbine System Based on Fractional Order Model Predictive Control Algorithm. Journal of Marine Science and Engineering. 10(9). 1307–1307. 6 indexed citations
10.
Ren, Weijie, et al.. (2022). Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series. Circuits Systems and Signal Processing. 42(5). 2698–2722. 1 indexed citations
11.
Cai, Zhengyang, et al.. (2022). Detection Method of Marine Biological Objects Based on Image Enhancement and Improved YOLOv5S. Journal of Marine Science and Engineering. 10(10). 1503–1503. 9 indexed citations
12.
Ren, Weijie, et al.. (2021). Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series. Circuits Systems and Signal Processing. 40(9). 4346–4369. 2 indexed citations
13.
Ren, Weijie, et al.. (2021). Hierarchical delay-memory echo state network: A model designed for multi-step chaotic time series prediction. Engineering Applications of Artificial Intelligence. 102. 104229–104229. 34 indexed citations
14.
Xu, Xinghan & Weijie Ren. (2021). A hybrid model of stacked autoencoder and modified particle swarm optimization for multivariate chaotic time series forecasting. Applied Soft Computing. 116. 108321–108321. 26 indexed citations
15.
Lin, Xiaohui, et al.. (2019). A new feature selection method based on symmetrical uncertainty and interaction gain. Computational Biology and Chemistry. 83. 107149–107149. 33 indexed citations
17.
Ren, Weijie, et al.. (2019). A novel Granger causality method based on HSIC-Lasso for revealing nonlinear relationship between multivariate time series. Physica A Statistical Mechanics and its Applications. 541. 123245–123245. 25 indexed citations
18.
Han, Min, Ruiquan Zhang, Tie Qiu, Meiling Xu, & Weijie Ren. (2017). Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis. IEEE Transactions on Systems Man and Cybernetics Systems. 49(10). 2144–2154. 55 indexed citations
19.
Han, Min, Weijie Ren, & Xiaoxin Liu. (2014). Joint mutual information-based input variable selection for multivariate time series modeling. Engineering Applications of Artificial Intelligence. 37. 250–257. 42 indexed citations
20.
Ren, Weijie & Min Han. (2014). Modeling of multivariate time series using variable selection and Gaussian process. 24. 5071–5074. 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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