Lixin Tang

589 total papers · 9.0k total citations
337 papers, 6.7k citations indexed

About

Lixin Tang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Lixin Tang has authored 337 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Industrial and Manufacturing Engineering, 71 papers in Control and Systems Engineering and 51 papers in Artificial Intelligence. Recurrent topics in Lixin Tang's work include Scheduling and Optimization Algorithms (139 papers), Advanced Manufacturing and Logistics Optimization (108 papers) and Optimization and Packing Problems (77 papers). Lixin Tang is often cited by papers focused on Scheduling and Optimization Algorithms (139 papers), Advanced Manufacturing and Logistics Optimization (108 papers) and Optimization and Packing Problems (77 papers). Lixin Tang collaborates with scholars based in China, United Kingdom and United States. Lixin Tang's co-authors include Jiyin Liu, Xianpeng Wang, Aiying Rong, Zihou Yang, Yun Dong, Ying Meng, Gongshu Wang, Hua Gong, Haichao Fan and Yue Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.

In The Last Decade

Lixin Tang

306 papers receiving 6.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lixin Tang 3.9k 1.3k 1.1k 820 560 337 6.7k
Adil Baykasoğlu 3.0k 0.8× 1.7k 1.3× 890 0.8× 729 0.9× 320 0.6× 220 7.8k
Matteo Fischetti 4.5k 1.2× 845 0.7× 721 0.7× 1.1k 1.3× 985 1.8× 127 7.0k
Cheng Wu 1.7k 0.4× 2.0k 1.5× 784 0.7× 407 0.5× 714 1.3× 292 5.4k
Junqing Li 2.9k 0.8× 1.1k 0.8× 600 0.5× 415 0.5× 532 0.9× 246 5.3k
Valeriy Vyatkin 3.1k 0.8× 556 0.4× 1.7k 1.5× 1.4k 1.7× 658 1.2× 378 5.9k
M. Zandieh 5.3k 1.4× 987 0.8× 930 0.8× 389 0.5× 657 1.2× 238 7.4k
Andrea Lodi 3.2k 0.8× 781 0.6× 1.1k 1.0× 987 1.2× 1.1k 2.0× 244 7.6k
Shih-Wei Lin 3.5k 0.9× 1.5k 1.2× 623 0.6× 267 0.3× 829 1.5× 227 7.1k
Paulo Leitão 3.9k 1.0× 452 0.3× 1.1k 1.0× 298 0.4× 640 1.1× 288 6.0k
David W. Coit 1.2k 0.3× 960 0.7× 1.5k 1.4× 1.0k 1.2× 593 1.1× 198 11.9k

Countries citing papers authored by Lixin Tang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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2026