Dianhui Wang

5.8k total citations · 1 hit paper
145 papers, 4.2k citations indexed

About

Dianhui Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Dianhui Wang has authored 145 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Artificial Intelligence, 43 papers in Computer Vision and Pattern Recognition and 34 papers in Control and Systems Engineering. Recurrent topics in Dianhui Wang's work include Neural Networks and Applications (47 papers), Machine Learning and ELM (44 papers) and Face and Expression Recognition (27 papers). Dianhui Wang is often cited by papers focused on Neural Networks and Applications (47 papers), Machine Learning and ELM (44 papers) and Face and Expression Recognition (27 papers). Dianhui Wang collaborates with scholars based in Australia, China and Singapore. Dianhui Wang's co-authors include Ming Li, Simone Scardapane, Monther Alhamdoosh, Tianyou Chai, Ming Li, Feilong Cao, Weitao Li, Massimo Panella, Ming Li and Changqin Huang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Expert Systems with Applications.

In The Last Decade

Dianhui Wang

140 papers receiving 4.1k citations

Hit Papers

Stochastic Configuration Networks: Fundamentals and Algor... 2017 2026 2020 2023 2017 100 200 300 400
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.

  1. Stochastic Configuration Networks: Fundamentals and Algorithms
    2017 488 citations Dianhui Wang et al. IEEE Transactions on Cybernetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dianhui Wang Australia 34 2.3k 1.1k 894 789 307 145 4.2k
Jun Sun China 30 2.0k 0.9× 884 0.8× 867 1.0× 887 1.1× 301 1.0× 185 4.9k
P. Saratchandran Singapore 30 4.4k 2.0× 1.6k 1.5× 933 1.0× 1.2k 1.6× 258 0.8× 89 6.1k
Min Han China 45 2.7k 1.2× 1.6k 1.5× 952 1.1× 1.2k 1.5× 500 1.6× 335 6.5k
Chi‐Man Vong Macao 35 1.7k 0.8× 1.0k 0.9× 1.0k 1.2× 735 0.9× 478 1.6× 178 4.3k
Shiji Song China 37 2.7k 1.2× 1.2k 1.1× 1.1k 1.3× 743 0.9× 280 0.9× 196 6.3k
Amaury Lendasse Finland 35 2.9k 1.3× 405 0.4× 991 1.1× 891 1.1× 158 0.5× 202 4.6k
M. R. Mosavi Iran 34 2.0k 0.9× 523 0.5× 991 1.1× 1.2k 1.6× 258 0.8× 258 4.8k
Mohammad Teshnehlab Iran 33 1.8k 0.8× 1.1k 1.0× 616 0.7× 773 1.0× 234 0.8× 285 4.2k
Wenbo Xu China 22 1.8k 0.8× 808 0.7× 482 0.5× 649 0.8× 158 0.5× 111 3.5k
Chee‐Kheong Siew Singapore 7 4.5k 2.0× 676 0.6× 1.1k 1.2× 1.7k 2.2× 351 1.1× 16 5.9k

Countries citing papers authored by Dianhui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dianhui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dianhui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dianhui Wang. A scholar is included among the top collaborators of Dianhui Wang 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 Dianhui Wang. Dianhui Wang 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.
Wang, Dianhui, et al.. (2025). Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems. IEEE Transactions on Automation Science and Engineering. 22. 19215–19228.
2.
Yan, Aijun, et al.. (2025). Monitoring Model Based on Data-Driven Optimization Stochastic Configuration Network and Its Applications. IEEE Sensors Journal. 25(6). 10087–10096. 2 indexed citations
3.
Wang, Dianhui, et al.. (2025). Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modeling. IEEE Transactions on Industrial Informatics. 21(6). 4820–4829. 2 indexed citations
4.
Wang, Dianhui, et al.. (2024). Stochastic configuration networks with particle swarm optimisation search. Information Sciences. 677. 120868–120868. 5 indexed citations
5.
Yan, Aijun, et al.. (2024). Robust multi-target regression with improved stochastic configuration networks and its applications. Information Sciences. 689. 121480–121480. 2 indexed citations
6.
Wang, Dianhui, et al.. (2024). An Improved Fuzzy Recurrent Stochastic Configuration Network for Modeling Nonlinear Systems. IEEE Transactions on Fuzzy Systems. 33(4). 1265–1276. 7 indexed citations
7.
Wang, Dianhui, et al.. (2024). Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks. IEEE Transactions on Industrial Informatics. 20(11). 12969–12978. 4 indexed citations
8.
Chen, Yongxuan & Dianhui Wang. (2024). An Improved Deep Kernel Partial Least Squares and Its Application to Industrial Data Modeling. IEEE Transactions on Industrial Informatics. 20(5). 7894–7903. 9 indexed citations
9.
Sun, Kai, et al.. (2024). Prediction of X-ray fluorescence copper grade using regularized stochastic configuration networks. Information Sciences. 659. 120098–120098. 17 indexed citations
10.
Wang, Dianhui, et al.. (2024). Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics. IEEE Transactions on Fuzzy Systems. 33(4). 1178–1191. 13 indexed citations
11.
Liu, Yan, et al.. (2024). Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems. Engineering Applications of Artificial Intelligence. 131. 107833–107833. 6 indexed citations
12.
Wang, Dianhui, et al.. (2023). Stochastic configuration networks for adaptive inverse dynamics modeling. International Journal of Machine Learning and Cybernetics. 14(10). 3529–3541. 4 indexed citations
13.
Qiao, Junfei, et al.. (2023). Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis. IEEE Transactions on Industrial Informatics. 20(3). 3222–3231. 32 indexed citations
14.
Qiao, Junfei, et al.. (2023). Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling. IEEE Transactions on Fuzzy Systems. 32(3). 948–957. 41 indexed citations
15.
Zhong, Ming, et al.. (2021). Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Transactions on Cybernetics. 52(7). 5935–5946. 63 indexed citations
16.
Ai, Wu & Dianhui Wang. (2020). Distributed stochastic configuration networks with cooperative learning paradigm. Information Sciences. 540. 1–16. 18 indexed citations
17.
Wang, Dianhui, et al.. (2019). Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system. Information Sciences. 511. 1–17. 74 indexed citations
18.
Wang, Dianhui, et al.. (2018). Higher non-HDL-cholesterol to HDL-cholesterol ratio linked with increased nonalcoholic steatohepatitis. Lipids in Health and Disease. 17(1). 67–67. 39 indexed citations
19.
Scardapane, Simone, Dianhui Wang, & Massimo Panella. (2015). A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks. 78. 65–74. 81 indexed citations
20.
Lee, Nung Kion & Dianhui Wang. (2011). SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model. BMC Bioinformatics. 12(S1). S16–S16. 17 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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