Peng Hou
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Songqing ChenDonald E. BrownYu CaoBo LiGuanling ChenChang LiuYunsheng MaYan Luo
- Topics
- IoT and Edge/Fog Computing (11 papers)Metaheuristic Optimization Algorithms Research (5 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Journals
- IEEE Internet of Things JournalInformation Processing & ManagementFrontiers in Bioengineering and Biotechnology
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Peng Hou
24 papers receiving 701 citations
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 454
- Computer Vision and Pattern Recognition 218
- Electrical and Electronic Engineering 177
- Artificial Intelligence 159
- Information Systems 132
Countries citing papers authored by Peng Hou
This map shows the geographic impact of Peng Hou'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 Peng Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Hou more than expected).
Fields of papers citing papers by Peng Hou
This network shows the impact of papers produced by Peng Hou. 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 Peng Hou. The network helps show where Peng Hou may publish in the future.
Co-authorship network of co-authors of Peng Hou
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Hou. A scholar is included among the top collaborators of Peng Hou 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 Peng Hou. Peng Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 29 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | 27 | |
| 16 | 25 | |
| 17 | 5 | |
| 18 | 25 | |
| 19 | 55 | |
| 20 | 134 |
About Peng Hou
Peng Hou is a scholar working on Computer Networks and Communications, Automotive Engineering and Artificial Intelligence, having authored 25 papers that have together received 724 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Computer Networks and Communications (454 citations), Computer Vision and Pattern Recognition (218 citations) and Information Systems (132 citations). Peng Hou has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Songqing Chen, Donald E. Brown, Yu Cao, Bo Li, Guanling Chen, Yu Cao, Chang Liu, Yunsheng Ma, Yan Luo and Vinod M. Vokkarane. Their work appears in journals such as IEEE Internet of Things Journal, Information Processing & Management and Frontiers in Bioengineering and Biotechnology.
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.