Danyu Bai

1.4k total citations
53 papers, 1.2k citations indexed

About

Danyu Bai is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Danyu Bai has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Industrial and Manufacturing Engineering, 13 papers in Computer Networks and Communications and 5 papers in Control and Systems Engineering. Recurrent topics in Danyu Bai's work include Scheduling and Optimization Algorithms (47 papers), Advanced Manufacturing and Logistics Optimization (37 papers) and Assembly Line Balancing Optimization (22 papers). Danyu Bai is often cited by papers focused on Scheduling and Optimization Algorithms (47 papers), Advanced Manufacturing and Logistics Optimization (37 papers) and Assembly Line Balancing Optimization (22 papers). Danyu Bai collaborates with scholars based in China, Taiwan and France. Danyu Bai's co-authors include Ling Wang, Chengyu Hu, Xuesong Yan, Wenyin Gong, Shuijia Li, Zhihai Zhang, Liang Gao, Chin‐Chia Wu, Ji‐Bo Wang and Lixin Tang and has published in prestigious journals such as Expert Systems with Applications, Energy Conversion and Management and Solar Energy.

In The Last Decade

Danyu Bai

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danyu Bai China	18	648	426	336	212	120	53	1.2k
M. Duran Toksarı Türkiye	19	486 0.8×	190 0.4×	65 0.2×	171 0.8×	243 2.0×	32	941
Xueqi Wu China	8	510 0.8×	79 0.2×	108 0.3×	60 0.3×	83 0.7×	14	629
Maroua Nouiri France	8	474 0.7×	122 0.3×	35 0.1×	87 0.4×	49 0.4×	15	660
Shengchao Zhou China	14	504 0.8×	131 0.3×	41 0.1×	81 0.4×	50 0.4×	28	691
Yi-Chi Wang Taiwan	17	470 0.7×	191 0.4×	34 0.1×	51 0.2×	73 0.6×	41	774
Ghasem Moslehi Iran	19	832 1.3×	156 0.4×	18 0.1×	195 0.9×	23 0.2×	59	969
Xiuping Guo China	14	568 0.9×	119 0.3×	25 0.1×	66 0.3×	30 0.3×	29	663
Mikhail A. Bragin United States	17	157 0.2×	114 0.3×	36 0.1×	63 0.3×	482 4.0×	68	816
Camino R. Vela Spain	18	721 1.1×	202 0.5×	9 0.0×	136 0.6×	112 0.9×	51	920
Zailin Guan China	19	1.1k 1.6×	188 0.4×	11 0.0×	146 0.7×	34 0.3×	78	1.2k

Countries citing papers authored by Danyu Bai

Since Specialization

Citations

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

Fields of papers citing papers by Danyu Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danyu Bai

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

All Works

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20 of 20 papers shown

Liu, Xiaoli, et al.. (2025). Instability theory and influencing factors of primary atomization for fan air-assisted nozzles. Physics of Fluids. 37(7).

Bai, Danyu, et al.. (2025). A bi-agent single-processor scheduling to minimize the sum of maximum lateness with release dates. Journal of the Operational Research Society. 77(4). 1049–1067. 1 indexed citations

Bai, Danyu, et al.. (2025). Discrete optimization algorithms for distributed bi-agent flowshop scheduling with release dates. Swarm and Evolutionary Computation. 98. 102101–102101.

Chu, Feng, et al.. (2024). Bi-Objective Optimization of a Flow Shop Scheduling Problem Under Time-of-Use Tariffs. IEEE Transactions on Automation Science and Engineering. 22. 7679–7695. 4 indexed citations

Li, Yantong, et al.. (2024). Profit maximization through integrated order acceptance and scheduling: A metaheuristic approach. Applied Soft Computing. 159. 111570–111570. 4 indexed citations

Gupta, Jatinder N.D., Chin‐Chia Wu, Win-Chin Lin, et al.. (2023). Bicriteria single-machine scheduling with multiple job classes and customer orders. Applied Soft Computing. 147. 110809–110809. 1 indexed citations

Lin, Win-Chin, Danyu Bai, Xingong Zhang, et al.. (2023). Composite heuristics and water wave optimality algorithms for tri-criteria multiple job classes and customer order scheduling on a single machine. International Journal of Industrial Engineering Computations. 14(2). 265–274. 4 indexed citations

Wang, Xinyue, et al.. (2023). Scheduling a multi-agent flow shop with two scenarios and release dates. International Journal of Production Research. 62(1-2). 421–443. 9 indexed citations

Li, Yantong, et al.. (2022). Bi-objective optimization for a multi-period COVID-19 vaccination planning problem. Omega. 110. 102617–102617. 63 indexed citations

10.

Ren, Tao, Xinyue Wang, Tianyi Liu, et al.. (2021). Exact and metaheuristic algorithms for flow-shop scheduling problems with release dates. Engineering Optimization. 54(11). 1853–1869. 9 indexed citations

11.

Zhang, Xingong, Danyu Bai, Win-Chin Lin, Shuenn‐Ren Cheng, & Chin‐Chia Wu. (2021). Single-machine slack due-window assignment scheduling with multiple maintenance activities and position-and-resource-dependent processing times. International Journal of Systems Science Operations & Logistics. 10(1). 4 indexed citations

12.

Jiang, Chong, et al.. (2019). Proportionate flowshop scheduling with position-dependent weights. Engineering Optimization. 52(1). 37–52. 16 indexed citations

13.

Li, Shuijia, Wenyin Gong, Xuesong Yan, et al.. (2019). Parameter extraction of photovoltaic models using an improved teaching-learning-based optimization. Energy Conversion and Management. 186. 293–305. 244 indexed citations

14.

Bai, Danyu, et al.. (2018). CdS nanoparticles of different lengths induce differential responses in some of the liver functions of mice. Bratislavské lekárske listy/Bratislava medical journal. 119(2). 75–80. 3 indexed citations

15.

Geng, Xin-Na, Ji‐Bo Wang, & Danyu Bai. (2018). Common due date assignment scheduling for a no-wait flowshop with convex resource allocation and learning effect. Engineering Optimization. 51(8). 1301–1323. 47 indexed citations

16.

Bai, Danyu, Zhihai Zhang, & Qiang Zhang. (2015). Flexible open shop scheduling problem to minimize makespan. Computers & Operations Research. 67. 207–215. 43 indexed citations

17.

Bai, Danyu & Lixin Tang. (2012). Open shop scheduling problem to minimize makespan with release dates. Applied Mathematical Modelling. 37(4). 2008–2015. 18 indexed citations

18.

Bai, Danyu & Lixin Tang. (2010). Performance analysis of rotation schedule and improved strategy for open shop problem to minimise makespan. International Journal of Systems Science. 42(7). 1143–1153. 6 indexed citations

19.

Tang, Lixin & Danyu Bai. (2009). A new heuristic for open shop total completion time problem. Applied Mathematical Modelling. 34(3). 735–743. 13 indexed citations

20.

Bai, Danyu, et al.. (2008). A new lower bound for flow shop makespan with release dates. 1. 276–280. 2 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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