Zhou Hong
- Artificial Intelligence
- Control and Systems Engineering
- Management Science and Operations Research top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Topics
- Data Mining Algorithms and Applications (4 papers)Imbalanced Data Classification Techniques (4 papers)Machine Learning and Data Classification (4 papers)
- Cited by
- Management Science and Operations ResearchControl and Systems EngineeringArtificial Intelligence
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Zhou Hong
32 papers receiving 248 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 71
- Control and Systems Engineering 61
- Management Science and Operations Research 40
- Electrical and Electronic Engineering 37
- Mechanical Engineering 33
Countries citing papers authored by Zhou Hong
This map shows the geographic impact of Zhou Hong'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 Zhou Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhou Hong more than expected).
Fields of papers citing papers by Zhou Hong
This network shows the impact of papers produced by Zhou Hong. 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 Zhou Hong. The network helps show where Zhou Hong may publish in the future.
Co-authorship network of co-authors of Zhou Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Zhou Hong. A scholar is included among the top collaborators of Zhou Hong 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 Zhou Hong. Zhou Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | 9 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | A Study on Bi-directional Relaying Transmission sing Network Coding for Multi-hop Wireless Networks | 1 |
| 17 | 20 | |
| 18 | 1 | |
| 19 | Parallel Query Optimization Techniques on Data Streams | 0 |
| 20 | The Interrelation among Learning Beliefs, Strategies Employed By Non-English Majors of under Graduates of Financial University and listening | 0 |
About Zhou Hong
Zhou Hong is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 43 papers that have together received 258 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Management Science and Operations Research (40 citations), Control and Systems Engineering (61 citations) and Artificial Intelligence (71 citations). Zhou Hong has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jie Lü, Chenggen Shi, Guangquan Zhang, Kun-Ming Yu, S. Joe Qin, Kewen Zhang, Wenting Li, Shangbing Gao, Wei Li and Na Guo. Their work appears in journals such as IEEE Access, Machine Learning and Applied Mathematics and Computation.
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.