Jiao-Hong Yi
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Gai‐Ge WangAmir H. AlaviJunyu DongSuash DebHeqi WangLining XingAthanasios V. VasilakosLing Wang
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Jiao-Hong Yi
9 papers receiving 620 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 328
- Computational Theory and Mathematics 222
- Electrical and Electronic Engineering 89
- Industrial and Manufacturing Engineering 84
- Control and Systems Engineering 67
Countries citing papers authored by Jiao-Hong Yi
This map shows the geographic impact of Jiao-Hong Yi'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 Jiao-Hong Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiao-Hong Yi more than expected).
Fields of papers citing papers by Jiao-Hong Yi
This network shows the impact of papers produced by Jiao-Hong Yi. 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 Jiao-Hong Yi. The network helps show where Jiao-Hong Yi may publish in the future.
Co-authorship network of co-authors of Jiao-Hong Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Jiao-Hong Yi. A scholar is included among the top collaborators of Jiao-Hong Yi 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 Jiao-Hong Yi. Jiao-Hong Yi 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 | 17 | |
| 3 | 12 | |
| 4 | 195 | |
| 5 | 171 | |
| 6 | 64 | |
| 7 | 108 | |
| 8 | 25 | |
| 9 | 19 | |
| 10 | 27 |
About Jiao-Hong Yi
Jiao-Hong Yi is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 10 papers that have together received 639 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (222 citations), Artificial Intelligence (328 citations) and Industrial and Manufacturing Engineering (84 citations). Jiao-Hong Yi has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Gai‐Ge Wang, Amir H. Alavi, Junyu Dong, Suash Deb, Heqi Wang, Lining Xing, Athanasios V. Vasilakos, Ling Wang, Jian Wang and Yuantao Chen. Their work appears in journals such as IEEE Access, Information Sciences and Future Generation Computer Systems.
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.