Yongtao Hao
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Economics and Econometrics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Yingjun ChenWenliang CheYonghong PengE. Y. K. NgChenxi HuangYisha LanYongqiang ChengXin Guo
- Topics
- Manufacturing Process and Optimization (13 papers)Industrial Technology and Control Systems (7 papers)Stock Market Forecasting Methods (5 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Yongtao Hao
32 papers receiving 432 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Management Science and Operations Research 181
- Artificial Intelligence 105
- Electrical and Electronic Engineering 83
- Economics and Econometrics 75
- Computer Vision and Pattern Recognition 67
Countries citing papers authored by Yongtao Hao
This map shows the geographic impact of Yongtao Hao'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 Yongtao Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongtao Hao more than expected).
Fields of papers citing papers by Yongtao Hao
This network shows the impact of papers produced by Yongtao Hao. 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 Yongtao Hao. The network helps show where Yongtao Hao may publish in the future.
Co-authorship network of co-authors of Yongtao Hao
This figure shows the co-authorship network connecting the top 25 collaborators of Yongtao Hao. A scholar is included among the top collaborators of Yongtao Hao 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 Yongtao Hao. Yongtao Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 52 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | An Empirical Study of the Relationship between Capital Structure and Financial Performance -- Based on Neural Network Analysis | 3 |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | Small Target Detection in Sea Clutter Based on Hurst Exponent Difference | 0 |
| 16 | 5 | |
| 17 | Response analysis of fluid and solid coupling characteristics for a wide-chord hollow fan blade | 2 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Pattern Knowledge and Artificial Neural Network Based Framework for Intelligent CAD System | 2 |
About Yongtao Hao
Yongtao Hao is a scholar working on Computational Mathematics, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 41 papers that have together received 466 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (13 papers), Industrial Technology and Control Systems (7 papers) and Stock Market Forecasting Methods (5 papers). The work is most often cited by research in Management Science and Operations Research (181 citations), Finance (52 citations) and Media Technology (40 citations). Yongtao Hao has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Yingjun Chen, Wenliang Che, Yonghong Peng, E. Y. K. Ng, Chenxi Huang, Yisha Lan, Yongqiang Cheng, Xin Guo, Yang Xiang and Qian Chen. Their work appears in journals such as Applied Catalysis B: Environmental, Expert Systems with Applications and Sensors.
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.