Kun Mao

1.1k total citations
16 papers, 950 citations indexed

About

Kun Mao is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Kun Mao has authored 16 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 7 papers in Control and Systems Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Kun Mao's work include Scheduling and Optimization Algorithms (11 papers), Advanced Manufacturing and Logistics Optimization (8 papers) and Advanced Control Systems Optimization (7 papers). Kun Mao is often cited by papers focused on Scheduling and Optimization Algorithms (11 papers), Advanced Manufacturing and Logistics Optimization (8 papers) and Advanced Control Systems Optimization (7 papers). Kun Mao collaborates with scholars based in China, United States and Singapore. Kun Mao's co-authors include Quan-Ke Pan, Junqing Li, Tianyou Chai, Xinfu Pang, Jinhui Zhao, Min Zhang, Sheng Wang, Jingqi Zhang, Tianjun Ma and Hongshuang Di and has published in prestigious journals such as European Journal of Operational Research, Materials Science and Engineering A and Journal of Materials Science.

In The Last Decade

Kun Mao

16 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kun Mao China	12	544	201	154	151	144	16	950
Saman Khalilpourazary Iran	14	112 0.2×	111 0.6×	245 1.6×	69 0.5×	246 1.7×	29	758
Yan Zhao China	14	69 0.1×	607 3.0×	114 0.7×	60 0.4×	170 1.2×	106	1.0k
Zhaoheng Liu Canada	20	91 0.2×	372 1.9×	605 3.9×	111 0.7×	26 0.2×	86	1.1k
Yujia Wang China	15	24 0.0×	487 2.4×	98 0.6×	23 0.2×	209 1.5×	84	903
Kristo Karjust Estonia	13	100 0.2×	48 0.2×	46 0.3×	119 0.8×	14 0.1×	42	558
Xuefang Li China	21	89 0.2×	1.2k 6.1×	438 2.8×	9 0.1×	23 0.2×	70	1.5k
Yang Xia China	16	38 0.1×	715 3.6×	96 0.6×	35 0.2×	93 0.6×	104	1.5k
Yun Feng China	15	16 0.0×	230 1.1×	54 0.4×	15 0.1×	158 1.1×	93	746
Wenqiang Zhang China	19	714 1.3×	88 0.4×	44 0.3×	5 0.0×	198 1.4×	76	1.2k

Countries citing papers authored by Kun Mao

Since Specialization

Citations

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

Fields of papers citing papers by Kun Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Mao

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

All Works

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16 of 16 papers shown

Ma, Ning, et al.. (2023). Physics-informed neural networks for solving nonlinear Bloch equations in atomic magnetometry. Physica Scripta. 98(8). 85010–85010. 3 indexed citations

Sun, Liangliang, Fangjun Luan, Ying Yu, & Kun Mao. (2016). Rescheduling optimization of steelmaking-continuous casting process based on the Lagrangian heuristic algorithm. Journal of Industrial and Management Optimization. 13(3). 1431–1448. 12 indexed citations

Li, Junqing, Quan-Ke Pan, & Kun Mao. (2015). A Hybrid Fruit Fly Optimization Algorithm for the Realistic Hybrid Flowshop Rescheduling Problem in Steelmaking Systems. IEEE Transactions on Automation Science and Engineering. 13(2). 932–949. 105 indexed citations

Li, Junqing, Quan-Ke Pan, & Kun Mao. (2014). Hybrid Particle Swarm Optimization for Hybrid Flowshop Scheduling Problem with Maintenance Activities. The Scientific World JOURNAL. 2014. 1–11. 14 indexed citations

Mao, Kun, Quan-Ke Pan, Xinfu Pang, & Tianyou Chai. (2014). An effective Lagrangian relaxation approach for rescheduling a steelmaking-continuous casting process. Control Engineering Practice. 30. 67–77. 35 indexed citations

Mao, Kun, Quan-Ke Pan, Xinfu Pang, Tianyou Chai, & Junqing Li. (2014). Scheduling a real-world hybrid flow shop with variable processing times using Lagrangian relaxation. 3434–3439. 1 indexed citations

Mao, Kun, Quan-Ke Pan, Tianyou Chai, & Peter B. Luh. (2014). An Effective Subgradient Method for Scheduling a Steelmaking-Continuous Casting Process. IEEE Transactions on Automation Science and Engineering. 12(3). 1140–1152. 34 indexed citations

Li, Junqing, Quan-Ke Pan, & Kun Mao. (2014). A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems. Engineering Applications of Artificial Intelligence. 37. 279–292. 106 indexed citations

Li, Junqing, Quan-Ke Pan, Kun Mao, & Ponnuthurai Nagaratnam Suganthan. (2014). Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm. Knowledge-Based Systems. 72. 28–36. 91 indexed citations

10.

Mao, Kun, Quan-Ke Pan, Xinfu Pang, & Tianyou Chai. (2013). A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process. European Journal of Operational Research. 236(1). 51–60. 115 indexed citations

11.

Mao, Kun, Quan-Ke Pan, & M. Fatih Tasgetiren. (2013). Lagrangian heuristic for scheduling a steelmaking-continuous casting process. 33. 68–74. 1 indexed citations

12.

Zhang, Jingqi, Hongshuang Di, Kun Mao, et al.. (2013). Processing maps for hot deformation of a high-Mn TWIP steel: A comparative study of various criteria based on dynamic materials model. Materials Science and Engineering A. 587. 110–122. 43 indexed citations

13.

Zhang, Jingqi, Hongshuang Di, Hongtao Wang, et al.. (2012). Hot deformation behavior of Ti-15-3 titanium alloy: a study using processing maps, activation energy map, and Zener–Hollomon parameter map. Journal of Materials Science. 47(9). 4000–4011. 123 indexed citations

14.

Pan, Quan-Ke, Sheng Wang, Kun Mao, Jinhui Zhao, & Min Zhang. (2012). An Effective Artificial Bee Colony Algorithm for a Real-World Hybrid Flowshop Problem in Steelmaking Process. IEEE Transactions on Automation Science and Engineering. 10(2). 307–322. 183 indexed citations

15.

Mao, Kun, et al.. (2011). The design and implementation of the passive upper limb rehabilitation robot based on magnetic powder brakes. 341–345. 7 indexed citations

16.

Yi, Na, Qingling Zhang, Kun Mao, Dongmei Yang, & Li Qin. (2009). Analysis and control of an SEIR epidemic system with nonlinear transmission rate. Mathematical and Computer Modelling. 50(9-10). 1498–1513. 77 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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