Lixin Tang
- Industrial and Manufacturing Engineering top 0.02%
- Artificial Intelligence top 1%
- Control and Systems Engineering top 1%
- Computational Theory and Mathematics top 0.5%
- Computer Networks and Communications top 2%
- Topics
- Scheduling and Optimization Algorithms (139 papers)Advanced Manufacturing and Logistics Optimization (108 papers)Optimization and Packing Problems (77 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational Theory and MathematicsControl and Systems Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner Production
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lixin Tang
308 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 139
- Industrial and Manufacturing Engineering 3.9k
- Artificial Intelligence 1.3k
- Control and Systems Engineering 1.1k
- Computational Theory and Mathematics 827
- Computer Networks and Communications 564
Countries citing papers authored by Lixin Tang
This map shows the geographic impact of Lixin Tang'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 Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lixin Tang more than expected).
Fields of papers citing papers by Lixin Tang
This network shows the impact of papers produced by Lixin Tang. 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 Tang. The network helps show where Lixin Tang may publish in the future.
Co-authorship network of co-authors of Lixin Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Lixin Tang. A scholar is included among the top collaborators of Lixin Tang 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 Tang. Lixin Tang 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 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 21 | |
| 15 | 39 | |
| 16 | 42 | |
| 17 | 34 | |
| 18 | 3 | |
| 19 | Model and algorithm for hot rolling steel tube MPS | 1 |
| 20 | ANALYSIS OF MODELING FACTOR OF INTEGRATED LOT PLANNING FOR SM CC HRM | 3 |
About Lixin Tang
Lixin Tang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Theory and Mathematics, having authored 339 papers that have together received 6.8k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (139 papers), Advanced Manufacturing and Logistics Optimization (108 papers) and Optimization and Packing Problems (77 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (3.9k citations), Computational Theory and Mathematics (827 citations) and Control and Systems Engineering (1.1k citations). Lixin Tang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jiyin Liu, Xianpeng Wang, Aiying Rong, Zihou Yang, Yun Dong, Ying Meng, Gongshu Wang, Hua Gong, Haichao Fan and Yue Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.
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.