Hongli Wang
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Control and Systems Engineering
- Topics
- Nonlinear Dynamics and Pattern Formation (20 papers)stochastic dynamics and bifurcation (14 papers)Advanced Decision-Making Techniques (8 papers)
In The Last Decade
Hongli Wang
53 papers receiving 438 citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 210
- Statistical and Nonlinear Physics 124
- Artificial Intelligence 113
- Information Systems 47
- Control and Systems Engineering 39
Countries citing papers authored by Hongli Wang
This map shows the geographic impact of Hongli 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 Hongli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongli Wang more than expected).
Fields of papers citing papers by Hongli Wang
This network shows the impact of papers produced by Hongli 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 Hongli Wang. The network helps show where Hongli Wang may publish in the future.
Co-authorship network of co-authors of Hongli Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Hongli Wang. A scholar is included among the top collaborators of Hongli 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 Hongli Wang. Hongli Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 20 | |
| 3 | A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification | 6 |
| 4 | 1 | |
| 5 | Fixed-memory extreme learning machine and its applications | 3 |
| 6 | Time Series Prediction Based on Sequential Regularized Extreme Learning Machine and Its Application | 4 |
| 7 | Uncertain multiattribute decision making method based on entropy and evidential reasoning approach | 1 |
| 8 | Dynamic Regression Extreme Learning Machine and Its Application to Small-sample Time Series Prediction | 2 |
| 9 | 11 | |
| 10 | Time series prediction using neuron-expanding regularized extreme learning machine | 1 |
| 11 | 15 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | Universal uncertain model on uncertainty and its intelligent decision support system | 2 |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 18 | |
| 18 | Research on Intelligence HABs Early-Warning System Based On CBR | 2 |
| 19 | 29 | |
| 20 | 10 |
About Hongli Wang
Hongli Wang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Ecological Modeling, having authored 56 papers that have together received 460 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (20 papers), stochastic dynamics and bifurcation (14 papers) and Advanced Decision-Making Techniques (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (124 citations), Computer Networks and Communications (210 citations) and Software (17 citations). Hongli Wang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Qi Ouyang, Yao Yu, Lei Guo, Shumei Liu, Tingdi Zhao, Qian‐Shu Li, Dongwei Huang, Jianfeng Feng, Jian Zheng and Phee Lep Yeoh. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Scientific Reports.
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.