Guanlong Deng

714 total citations
30 papers, 566 citations indexed

About

Guanlong Deng is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Guanlong Deng has authored 30 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Industrial and Manufacturing Engineering, 10 papers in Control and Systems Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Guanlong Deng's work include Scheduling and Optimization Algorithms (22 papers), Advanced Manufacturing and Logistics Optimization (12 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Guanlong Deng is often cited by papers focused on Scheduling and Optimization Algorithms (22 papers), Advanced Manufacturing and Logistics Optimization (12 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Guanlong Deng collaborates with scholars based in China, United Kingdom and Japan. Guanlong Deng's co-authors include Tianhua Jiang, Xingsheng Gu, Shuning Zhang, Qingtang Su, Zhiwang Zhang, Hongyong Yang, Beijing Chen, Gang Wang, Xiaofeng Zhang and Huixia Liu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Guanlong Deng

26 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanlong Deng China 13 399 121 87 63 62 30 566
Zhi-xin Zheng China 6 317 0.8× 91 0.8× 63 0.7× 49 0.8× 37 0.6× 9 455
Kunkun Peng China 13 689 1.7× 115 1.0× 128 1.5× 39 0.6× 55 0.9× 27 827
Ni Du China 7 240 0.6× 90 0.7× 54 0.6× 30 0.5× 44 0.7× 7 384
Li Shi China 9 340 0.9× 67 0.6× 96 1.1× 47 0.7× 103 1.7× 27 550
Rong Hu China 12 426 1.1× 133 1.1× 85 1.0× 24 0.4× 83 1.3× 56 555
Tianpeng Xu China 14 353 0.9× 98 0.8× 77 0.9× 28 0.4× 46 0.7× 41 484
Xiuping Guo China 14 568 1.4× 119 1.0× 78 0.9× 30 0.5× 66 1.1× 29 663
Alper Hamzadayı Türkiye 11 476 1.2× 102 0.8× 50 0.6× 17 0.3× 67 1.1× 22 580
Bernd Waschneck Germany 6 388 1.0× 71 0.6× 93 1.1× 29 0.5× 43 0.7× 16 514
Levent Kandiller Türkiye 13 494 1.2× 71 0.6× 49 0.6× 16 0.3× 54 0.9× 26 583

Countries citing papers authored by Guanlong Deng

Since Specialization
Citations

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

Fields of papers citing papers by Guanlong Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanlong Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Guanlong Deng. A scholar is included among the top collaborators of Guanlong Deng 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 Guanlong Deng. Guanlong Deng 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.
Huang, Xuemei, et al.. (2025). A hybrid discrete artificial bee colony optimization algorithm for the no-wait job shop problem with tardiness criterion. Journal of Algorithms & Computational Technology. 19.
2.
3.
Deng, Guanlong, et al.. (2023). Parallel navigation for 3-D autonomous vehicles. Kybernetika. 592–611.
4.
Zhang, Shuning, Ke Liu, Han Zhang, & Guanlong Deng. (2023). Dynamic nonlinear soft sensor modelling method using linear slow feature analysis and least squares support vector regression for batch processes. The Canadian Journal of Chemical Engineering. 102(5). 1796–1813. 3 indexed citations
5.
Jiang, Tianhua, et al.. (2021). Multi-objective discrete water wave optimization algorithm for solving the energy-saving job shop scheduling problem with variable processing speeds. Journal of Intelligent & Fuzzy Systems. 40(6). 10617–10631. 9 indexed citations
6.
Deng, Guanlong, et al.. (2021). Migrating birds optimization with a diversified mechanism for blocking flow shops to minimize idle and blocking time. Applied Soft Computing. 114. 107834–107834. 14 indexed citations
7.
Deng, Guanlong, Qingtang Su, Zhiwang Zhang, et al.. (2019). A population-based iterated greedy algorithm for no-wait job shop scheduling with total flow time criterion. Engineering Applications of Artificial Intelligence. 88. 103369–103369. 39 indexed citations
8.
Zhao, Mei, et al.. (2019). Electromagnetic Characteristic of a Novel Linear Flux Switching Machine With Three-Dimensional Magnetic Circuit. IEEE Transactions on Applied Superconductivity. 29(2). 1–5. 4 indexed citations
9.
Zhang, Shuning, Fei Chu, Guanlong Deng, & Fuli Wang. (2019). Soft Sensor Model Development for Cobalt Oxalate Synthesis Process Based on Adaptive Gaussian Mixture Regression. IEEE Access. 7. 118749–118763. 5 indexed citations
10.
Zhao, Mei, et al.. (2018). Analysis of a Novel Flux Switching Transverse Flux Permanent Magnet Linear Motor. 1–2. 2 indexed citations
11.
Jiang, Tianhua, et al.. (2018). Energy-Efficient Scheduling for a Job Shop Using an Improved Whale Optimization Algorithm. Mathematics. 6(11). 220–220. 62 indexed citations
12.
Zhao, Mei, et al.. (2018). Development and Analysis of Novel Flux-Switching Transverse-Flux Permanent Magnet Linear Machine. IEEE Transactions on Industrial Electronics. 66(6). 4923–4933. 36 indexed citations
13.
Deng, Guanlong, et al.. (2018). Energy-Efficient Scheduling for a Job Shop Using Grey Wolf Optimization Algorithm with Double-Searching Mode. Mathematical Problems in Engineering. 2018. 1–12. 37 indexed citations
14.
Deng, Guanlong, et al.. (2018). Multi-Objective Parallel Variable Neighborhood Search for Energy Consumption Scheduling in Blocking Flow Shops. IEEE Access. 6. 68686–68700. 24 indexed citations
15.
Jiang, Tianhua & Guanlong Deng. (2018). Optimizing the Low-Carbon Flexible Job Shop Scheduling Problem Considering Energy Consumption. IEEE Access. 6. 46346–46355. 54 indexed citations
16.
Deng, Guanlong, et al.. (2016). A discrete group search optimizer for blocking flow shop multi-objective scheduling. Advances in Mechanical Engineering. 8(8). 9 indexed citations
17.
Su, Qingtang, et al.. (2016). A novel blind color image watermarking based on Contourlet transform and Hessenberg decomposition. Multimedia Tools and Applications. 76(6). 8781–8801. 46 indexed citations
18.
Deng, Guanlong, Hongyong Yang, & Shuning Zhang. (2016). An Enhanced Discrete Artificial Bee Colony Algorithm to Minimize the Total Flow Time in Permutation Flow Shop Scheduling with Limited Buffers. Mathematical Problems in Engineering. 2016. 1–11. 12 indexed citations
19.
Deng, Guanlong, Kang Zhang, & Xingsheng Gu. (2012). A hybrid discrete differential evolution algorithm to minimise total tardiness on identical parallel machines. International Journal of Computer Integrated Manufacturing. 26(6). 504–512. 2 indexed citations
20.
Deng, Guanlong, et al.. (2012). A discrete artificial bee colony algorithm for the blocking flow shop scheduling problem. 518–522. 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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