Kaizhou Gao
- Industrial and Manufacturing Engineering top 0.02%
- Artificial Intelligence top 1%
- Control and Systems Engineering top 0.5%
- Computer Networks and Communications top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Quan-Ke PanPonnuthurai Nagaratnam SuganthanYuyan HanJunqing LiYaping FuAli SadollahHongyan SangLe Zhang
- Topics
- Scheduling and Optimization Algorithms (135 papers)Advanced Manufacturing and Logistics Optimization (121 papers)Assembly Line Balancing Optimization (43 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionEuropean Journal of Operational Research
In The Last Decade
Kaizhou Gao
211 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Industrial and Manufacturing Engineering 4.6k
- Artificial Intelligence 1.2k
- Control and Systems Engineering 1.2k
- Computer Networks and Communications 771
- Computational Theory and Mathematics 543
Countries citing papers authored by Kaizhou Gao
This map shows the geographic impact of Kaizhou Gao'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 Kaizhou Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaizhou Gao more than expected).
Fields of papers citing papers by Kaizhou Gao
This network shows the impact of papers produced by Kaizhou Gao. 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 Kaizhou Gao. The network helps show where Kaizhou Gao may publish in the future.
Co-authorship network of co-authors of Kaizhou Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Kaizhou Gao. A scholar is included among the top collaborators of Kaizhou Gao 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 Kaizhou Gao. Kaizhou Gao 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 | 4 | |
| 3 | A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operationsbreakdown → | 48 |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 35 | |
| 8 | 14 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 20 | |
| 16 | 28 | |
| 17 | 8 | |
| 18 | 12 | |
| 19 | 17 | |
| 20 | 57 |
About Kaizhou Gao
Kaizhou Gao is a scholar working on Industrial and Manufacturing Engineering, Transportation and Control and Systems Engineering, having authored 227 papers that have together received 6.8k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (135 papers), Advanced Manufacturing and Logistics Optimization (121 papers) and Assembly Line Balancing Optimization (43 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (4.6k citations), Control and Systems Engineering (1.2k citations) and Transportation (351 citations). Kaizhou Gao has collaborated with scholars based in China, Macao and Singapore. Frequent co-authors include Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan, Yuyan Han, Junqing Li, Yaping Fu, Ali Sadollah, Hongyan Sang, Le Zhang, Junqing Li and Tay Jin Chua. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and European Journal of Operational Research.
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.