Dianhui Wang
Impact in
- Artificial Intelligence top 0.5%
- Machine Learning and ELM
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
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- Fault Detection and Control Systems
- Advanced Algorithms and Applications
Papers in
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- Neural Networks and Applications 49
- Machine Learning and ELM 44
- Fuzzy Logic and Control Systems 11
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- Face and Expression Recognition 27
- Image Retrieval and Classification Techniques 8
- Advanced Image and Video Retrieval Techniques 7
- Co-authors
- Ming Li (3 shared papers)Simone Scardapane (5 shared papers)Monther Alhamdoosh (2 shared papers)Tianyou Chai (13 shared papers)Ming Li (1 shared paper)Feilong Cao (8 shared papers)Weitao Li (7 shared papers)Massimo Panella (3 shared papers)
In The Last Decade
Dianhui Wang
142 papers receiving 4.3k citations
Dianhui Wang's Hit Papers
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 2.3k
- Control and Systems Engineering 1.1k
- Computer Vision and Pattern Recognition 899
- Electrical and Electronic Engineering 803
- Signal Processing 137
Countries citing papers authored by Dianhui Wang
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
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-authors
The 25 scholars most cited alongside Dianhui Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Stochastic Configuration Networks: Fundamentals and Algorithms Hit paper breakdown → | 2017 | 507 |
| 2 | 2017 | 238 | |
| 3 | 2014 | 157 | |
| 4 | 2016 | 156 | |
| 5 | 2017 | 129 | |
| 6 | 2015 | 123 | |
| 7 | 2015 | 119 | |
| 8 | 2017 | 112 | |
| 9 | 2017 | 92 | |
| 10 | 2013 | 91 | |
| 11 | 2015 | 81 | |
| 12 | 2012 | 79 | |
| 13 | 2019 | 78 | |
| 14 | 2018 | 75 | |
| 15 | 2019 | 69 | |
| 16 | 2019 | 68 | |
| 17 | 2012 | 66 | |
| 18 | 2012 | 65 | |
| 19 | 2021 | 64 | |
| 20 | 2015 | 62 |
About Dianhui Wang
Dianhui Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering and Molecular Biology, having authored 149 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (49 papers), Machine Learning and ELM (44 papers), Face and Expression Recognition (27 papers), Fault Detection and Control Systems (16 papers), Fuzzy Logic and Control Systems (11 papers), Genomics and Chromatin Dynamics (8 papers), Image Retrieval and Classification Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Control and Systems Engineering (1.1k citations), Computer Vision and Pattern Recognition (899 citations), Electrical and Electronic Engineering (803 citations) and Signal Processing (137 citations). Dianhui Wang has collaborated with scholars based in Australia, China and Italy. Frequent co-authors include Ming Li, Simone Scardapane, Monther Alhamdoosh, Tianyou Chai, Ming Li, Feilong Cao, Weitao Li, Ming Li, Massimo Panella and Changqin Huang. Their work appears in journals such as Information Sciences, Neurocomputing, Neural Computing and Applications, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.
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.