Pei Hu
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Jeng‐Shyang PanShu‐Chuan ChuLi ZhuangYong YuanShungui ZhouChaoli SunQing-Wei ChaiVáclav Snåšel
- Topics
- Metaheuristic Optimization Algorithms Research (21 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)Emotion and Mood Recognition (6 papers)
In The Last Decade
Pei Hu
46 papers receiving 961 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 501
- Electrical and Electronic Engineering 249
- Computational Theory and Mathematics 148
- Computer Vision and Pattern Recognition 139
- Computer Networks and Communications 137
Countries citing papers authored by Pei Hu
This map shows the geographic impact of Pei Hu'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 Pei Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Hu more than expected).
Fields of papers citing papers by Pei Hu
This network shows the impact of papers produced by Pei Hu. 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 Pei Hu. The network helps show where Pei Hu may publish in the future.
Co-authorship network of co-authors of Pei Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Pei Hu. A scholar is included among the top collaborators of Pei Hu 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 Pei Hu. Pei Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 66 | |
| 15 | 69 | |
| 16 | 31 | |
| 17 | 75 | |
| 18 | Sexual quality of life and related factors in women with schizophrenia | 1 |
| 19 | Research on decomposition of decision table based on decision making | 0 |
| 20 | Synthesis of the sodium phthalate of mono lauryl alcohol | 1 |
About Pei Hu
Pei Hu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Energy Engineering and Power Technology, having authored 47 papers that have together received 984 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Emotion and Mood Recognition (6 papers). The work is most often cited by research in Artificial Intelligence (501 citations), Computational Theory and Mathematics (148 citations) and Industrial and Manufacturing Engineering (87 citations). Pei Hu has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Jeng‐Shyang Pan, Shu‐Chuan Chu, Li Zhuang, Yong Yuan, Shungui Zhou, Chaoli Sun, Qing-Wei Chai, Václav Snåšel, Qing Chen and Hanjiang Luo. Their work appears in journals such as Journal of Hazardous Materials, Scientific Reports and IEEE Access.
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.