Junbo Jacob Lian
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Guohua HuiHuiling ChenXincan WuAli Asghar HeidariTing ZhuYi ChenYuanyuan GaoWeixiang Zhou
- Topics
- Metaheuristic Optimization Algorithms Research (8 papers)Evolutionary Algorithms and Applications (4 papers)Advanced Chemical Sensor Technologies (4 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsEnergy Engineering and Power Technology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Junbo Jacob Lian
11 papers receiving 404 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 217
- Computational Theory and Mathematics 97
- Computer Vision and Pattern Recognition 65
- Electrical and Electronic Engineering 60
- Control and Systems Engineering 44
Countries citing papers authored by Junbo Jacob Lian
This map shows the geographic impact of Junbo Jacob Lian'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 Junbo Jacob Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbo Jacob Lian more than expected).
Fields of papers citing papers by Junbo Jacob Lian
This network shows the impact of papers produced by Junbo Jacob Lian. 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 Junbo Jacob Lian. The network helps show where Junbo Jacob Lian may publish in the future.
Co-authorship network of co-authors of Junbo Jacob Lian
This figure shows the co-authorship network connecting the top 25 collaborators of Junbo Jacob Lian. A scholar is included among the top collaborators of Junbo Jacob Lian 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 Junbo Jacob Lian. Junbo Jacob Lian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | Parrot optimizer: Algorithm and applications to medical problemsbreakdown → | 225 |
| 10 | 2 | |
| 11 | 2 | |
| 12 | The educational competition optimizerbreakdown → | 50 |
| 13 | 100 | |
| 14 | 11 | |
| 15 | 17 |
About Junbo Jacob Lian
Junbo Jacob Lian is a scholar working on Analytical Chemistry, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 15 papers that have together received 421 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Artificial Intelligence (217 citations), Computational Theory and Mathematics (97 citations) and Energy Engineering and Power Technology (14 citations). Junbo Jacob Lian has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guohua Hui, Huiling Chen, Xincan Wu, Ali Asghar Heidari, Ting Zhu, Yi Chen, Yuanyuan Gao, Weixiang Zhou, Zhongmin Wang and Rui Zhong. Their work appears in journals such as Expert Systems with Applications, Neural Networks 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.