Jianjun Liu
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Ocean Engineering top 10%
- Topics
- Identification and Quantification in Food (4 papers)Advanced Chemical Sensor Technologies (4 papers)Metaheuristic Optimization Algorithms Research (4 papers)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Jianjun Liu
26 papers receiving 514 citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 162
- Computational Theory and Mathematics 82
- Mechanical Engineering 76
- Electrical and Electronic Engineering 74
- Ocean Engineering 67
Countries citing papers authored by Jianjun Liu
This map shows the geographic impact of Jianjun Liu'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 Jianjun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjun Liu more than expected).
Fields of papers citing papers by Jianjun Liu
This network shows the impact of papers produced by Jianjun Liu. 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 Jianjun Liu. The network helps show where Jianjun Liu may publish in the future.
Co-authorship network of co-authors of Jianjun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jianjun Liu. A scholar is included among the top collaborators of Jianjun Liu 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 Jianjun Liu. Jianjun Liu 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 | 8 | |
| 3 | 25 | |
| 4 | 1 | |
| 5 | 65 | |
| 6 | 54 | |
| 7 | 12 | |
| 8 | 25 | |
| 9 | 5 | |
| 10 | 27 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 105 | |
| 15 | Design of structural parameters for motor-driven 6-DOF parallel manipulators based on virtual prototype | 1 |
| 16 | 4 | |
| 17 | Steam exploded pretreatment and enzymatic hydrolysis of bamboo for fermentable monosaccharides. | 1 |
| 18 | Application of Artificial Neural Networks to Interpolation and Extrapolation of Flux Data | 1 |
| 19 | 3 | |
| 20 | Intelligent Control System of Controlled Atmosphere Cold Storage of Fruit and Vegetable | 3 |
About Jianjun Liu
Jianjun Liu is a scholar working on Theoretical Computer Science, Numerical Analysis and Computational Theory and Mathematics, having authored 27 papers that have together received 524 indexed citations. Recurring topics across this work include Identification and Quantification in Food (4 papers), Advanced Chemical Sensor Technologies (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (82 citations), Artificial Intelligence (162 citations) and Ocean Engineering (67 citations). Jianjun Liu has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Changzhi Wu, Xiangyu Wang, Kok Lay Teo, Shaoqun Dong, Chaoshui Xu, Yuhan Liu, He Tian, Zhi Li, Tao Chen and Wenya Lyu. Their work appears in journals such as Nature Communications, Information Sciences and Applied Soft Computing.
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.