Lixin Jia
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Mechanical Engineering
- Statistical and Nonlinear Physics top 10%
- Topics
- Silicon Carbide Semiconductor Technologies (15 papers)HVDC Systems and Fault Protection (11 papers)Advanced Algorithms and Applications (11 papers)
- Cited by
- Statistical and Nonlinear PhysicsElectrical and Electronic EngineeringControl and Systems Engineering
- Partner nations
- ChinaBangladeshNetherlands
In The Last Decade
Lixin Jia
63 papers receiving 435 citations
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 219
- Control and Systems Engineering 76
- Artificial Intelligence 73
- Mechanical Engineering 72
- Statistical and Nonlinear Physics 64
Countries citing papers authored by Lixin Jia
This map shows the geographic impact of Lixin Jia'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 Lixin Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lixin Jia more than expected).
Fields of papers citing papers by Lixin Jia
This network shows the impact of papers produced by Lixin Jia. 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 Lixin Jia. The network helps show where Lixin Jia may publish in the future.
Co-authorship network of co-authors of Lixin Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Lixin Jia. A scholar is included among the top collaborators of Lixin Jia 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 Lixin Jia. Lixin Jia 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 13 | |
| 17 | Adaptive Neuro-Fuzzy Inference System-Based Pulverizing Capability Model for Running Time Assessment of Ball Mill Pulverizing System | 1 |
| 18 | Exploring a New Model of Training Innovative Talents in Electronic Information by University-enterprise Cooperation | 0 |
| 19 | Study on engineering measures for abatement of siltation in port and channel on silty sand beaches | 0 |
| 20 | Density Weighted Pruning Method for Sparse Least Squares Support Vector Machines | 4 |
About Lixin Jia
Lixin Jia is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 78 papers that have together received 468 indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (15 papers), HVDC Systems and Fault Protection (11 papers) and Advanced Algorithms and Applications (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (64 citations), Electrical and Electronic Engineering (219 citations) and Control and Systems Engineering (76 citations). Lixin Jia has collaborated with scholars based in China, Bangladesh and Netherlands. Frequent co-authors include Yanbin Zhang, Hui Cao, Hao Dai, Gangquan Si, Laili Wang, Meng Hui, Ningning Yang, Gangquan Si, Fengtao Yang and Yongmei Gan. Their work appears in journals such as Journal of Cleaner Production, Applied Energy and IEEE Transactions on Power Electronics.
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.