Liji Shen

1.1k total citations · 1 hit paper
24 papers, 757 citations indexed

About

Liji Shen is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Liji Shen has authored 24 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Industrial and Manufacturing Engineering, 5 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Liji Shen's work include Scheduling and Optimization Algorithms (24 papers), Advanced Manufacturing and Logistics Optimization (16 papers) and Assembly Line Balancing Optimization (10 papers). Liji Shen is often cited by papers focused on Scheduling and Optimization Algorithms (24 papers), Advanced Manufacturing and Logistics Optimization (16 papers) and Assembly Line Balancing Optimization (10 papers). Liji Shen collaborates with scholars based in Germany, China and France. Liji Shen's co-authors include Udo Buscher, Stéphane Dauzère‐Pérès, Janis S. Neufeld, Junwen Ding, Lars Mönch, Sven Schulz, Zhipeng Lü, Jatinder N.D. Gupta, Bo Peng and Fred Glover and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Evolutionary Computation and Computers & Operations Research.

In The Last Decade

Liji Shen

24 papers receiving 737 citations

Hit Papers

The flexible job shop scheduling problem: A review 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liji Shen Germany 16 658 128 123 86 36 24 757
Pierre Lòpez France 12 381 0.6× 100 0.8× 74 0.6× 60 0.7× 26 0.7× 35 499
Inés González-Rodríguez Spain 15 476 0.7× 74 0.6× 80 0.7× 129 1.5× 31 0.9× 30 556
José Elias Claudio Arroyo Brazil 12 545 0.8× 104 0.8× 88 0.7× 132 1.5× 23 0.6× 43 638
Alper Hamzadayı Türkiye 11 476 0.7× 67 0.5× 50 0.4× 102 1.2× 20 0.6× 22 580
Gianfranco Ciaschetti Italy 4 664 1.0× 162 1.3× 88 0.7× 167 1.9× 26 0.7× 5 741
Paz Pérez-González Spain 17 866 1.3× 156 1.2× 72 0.6× 49 0.6× 65 1.8× 40 913
Majid Khalili Iran 9 313 0.5× 48 0.4× 60 0.5× 85 1.0× 21 0.6× 22 392
Junwen Ding China 9 297 0.5× 53 0.4× 37 0.3× 61 0.7× 10 0.3× 21 371
F. Frank Chen United States 9 545 0.8× 76 0.6× 44 0.4× 78 0.9× 102 2.8× 16 650
J. Peschke Germany 10 369 0.6× 35 0.3× 52 0.4× 74 0.9× 54 1.5× 23 461

Countries citing papers authored by Liji Shen

Since Specialization
Citations

This map shows the geographic impact of Liji Shen'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 Liji Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liji Shen more than expected).

Fields of papers citing papers by Liji Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liji Shen. 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 Liji Shen. The network helps show where Liji Shen may publish in the future.

Co-authorship network of co-authors of Liji Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Liji Shen. A scholar is included among the top collaborators of Liji Shen 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 Liji Shen. Liji Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shen, Liji, et al.. (2023). Energy cost efficient scheduling in flexible job-shop manufacturing systems. European Journal of Operational Research. 310(3). 992–1016. 20 indexed citations
2.
Ding, Junwen, et al.. (2022). A Novel Evolutionary Algorithm for Energy-Efficient Scheduling in Flexible Job Shops. IEEE Transactions on Evolutionary Computation. 27(5). 1470–1484. 13 indexed citations
3.
Shen, Liji, et al.. (2022). Unrelated parallel machine scheduling with eligibility constraints and delivery times to minimize total weighted tardiness. Computers & Operations Research. 149. 105999–105999. 29 indexed citations
4.
Ding, Junwen, Sven Schulz, Liji Shen, Udo Buscher, & Zhipeng Lü. (2020). Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization. Computers & Operations Research. 125. 105088–105088. 56 indexed citations
5.
Mönch, Lars & Liji Shen. (2020). Parallel machine scheduling with the total weighted delivery time performance measure in distributed manufacturing. Computers & Operations Research. 127. 105126–105126. 24 indexed citations
6.
Schulz, Sven, Udo Buscher, & Liji Shen. (2020). Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices. Journal of Business Economics. 90(9). 1315–1343. 41 indexed citations
7.
Mönch, Lars, Liji Shen, & John Fowler. (2020). Heuristics for Order-Lot Pegging In Multi-Fab Settings. 1742–1752. 1 indexed citations
8.
Shen, Liji, et al.. (2019). Solving parallel machine problems with delivery times and tardiness objectives. Annals of Operations Research. 285(1-2). 315–334. 20 indexed citations
9.
Ding, Junwen, et al.. (2019). A Two-Individual Based Evolutionary Algorithm for the Flexible Job Shop Scheduling Problem. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 2262–2271. 20 indexed citations
10.
Shen, Liji & Jatinder N.D. Gupta. (2017). Family scheduling with batch availability in flow shops to minimize makespan. Journal of Scheduling. 21(2). 235–249. 3 indexed citations
11.
Shen, Liji, Stéphane Dauzère‐Pérès, & Janis S. Neufeld. (2017). Solving the flexible job shop scheduling problem with sequence-dependent setup times. European Journal of Operational Research. 265(2). 503–516. 172 indexed citations
12.
Shen, Liji. (2014). A tabu search algorithm for the job shop problem with sequence dependent setup times. Computers & Industrial Engineering. 78. 95–106. 17 indexed citations
13.
Lü, Zhipeng, et al.. (2014). A study of hybrid evolutionary algorithms for single machine scheduling problem with sequence-dependent setup times. Computers & Operations Research. 50. 47–60. 21 indexed citations
14.
Shen, Liji, Jatinder N.D. Gupta, & Udo Buscher. (2014). Flow shop batching and scheduling with sequence-dependent setup times. Journal of Scheduling. 17(4). 353–370. 18 indexed citations
15.
Shen, Liji, Lars Mönch, & Udo Buscher. (2013). An iterative approach for the serial batching problem with parallel machines and job families. Annals of Operations Research. 206(1). 425–448. 20 indexed citations
16.
Shen, Liji, Lars Mönch, & Udo Buscher. (2013). A simultaneous and iterative approach for parallel machine scheduling with sequence-dependent family setups. Journal of Scheduling. 17(5). 471–487. 15 indexed citations
17.
Shen, Liji & Udo Buscher. (2012). Solving the serial batching problem in job shop manufacturing systems. European Journal of Operational Research. 221(1). 14–26. 62 indexed citations
18.
Buscher, Udo & Liji Shen. (2011). An Integer Programming Formulation for the Lot Streaming Problem in a Job Shop Environment with Setups. 2 indexed citations
19.
Buscher, Udo & Liji Shen. (2010). MIP formulations and heuristics for solving parallel batching problems. Journal of Systems Science and Complexity. 23(5). 884–895. 2 indexed citations
20.
Buscher, Udo & Liji Shen. (2009). MIP-Based Approaches for Solving Scheduling Problems with Batch Processing Machines. 1 indexed citations

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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