Yan Qiao

3.4k total citations
139 papers, 2.6k citations indexed

About

Yan Qiao is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Building and Construction. According to data from OpenAlex, Yan Qiao has authored 139 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Industrial and Manufacturing Engineering, 44 papers in Computational Theory and Mathematics and 13 papers in Building and Construction. Recurrent topics in Yan Qiao's work include Scheduling and Optimization Algorithms (69 papers), Manufacturing Process and Optimization (58 papers) and Petri Nets in System Modeling (43 papers). Yan Qiao is often cited by papers focused on Scheduling and Optimization Algorithms (69 papers), Manufacturing Process and Optimization (58 papers) and Petri Nets in System Modeling (43 papers). Yan Qiao collaborates with scholars based in China, Macao and United States. Yan Qiao's co-authors include Naiqi Wu, MengChu Zhou, QingHua Zhu, Fajun Yang, Zhiwu Li, Chunrong Pan, Mohammadhossein Ghahramani, James Sweeney, Adrian O’Hagan and MengChu Zhou and has published in prestigious journals such as Journal of Cleaner Production, Materials Science and Engineering A and Expert Systems with Applications.

In The Last Decade

Yan Qiao

122 papers receiving 2.5k citations

Peers

Yan Qiao

IME

CTM

CSE

CNC

Michele Monaci Italy

Hesuan Hu China

Tatsushi Nishi Japan

Frits Spieksma Belgium

Fulya Altıparmak Türkiye

Bernard Gendron Canada

John E. Mitchell United States

Jiacun Wang United States

Ivana Ljubić France

Monique Guignard United States

Michele Monaci Italy

Yan Qiao

2.1k ×1.2

IME

293 ×0.4

CTM

214 ×1.0

CSE

434 ×2.5

CNC

149 ×0.9

Citations per year, relative to Yan Qiao Yan Qiao (= 1×) peers Michele Monaci

Countries citing papers authored by Yan Qiao

Since Specialization

Citations

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

Fields of papers citing papers by Yan Qiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Qiao. A scholar is included among the top collaborators of Yan Qiao 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 Yan Qiao. Yan Qiao 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

Qiao, Yan. (2025). Research on the Application of Flexible Pressure Sensors in Wearable Devices. Applied and Computational Engineering. 128(1). 59–65. 1 indexed citations

Qiao, Yan, et al.. (2025). Workload Balancing for Photolithography Machines in Semiconductor Manufacturing via Estimation of Distribution Algorithm Integrating Kmeans Clustering. IEEE Transactions on Systems Man and Cybernetics Systems. 55(8). 5565–5580. 2 indexed citations

Wu, Naiqi, et al.. (2024). Collaborative Scheduling for Single-Arm Cluster Tools With an Equipment Front-End Module Subject to Chamber Cleaning Requirements. IEEE Transactions on Systems Man and Cybernetics Systems. 54(10). 5912–5924. 2 indexed citations

Leng, Jiewu, et al.. (2024). Deep Reinforcement Learning of Graph Convolutional Neural Network for Resilient Production Control of Mass Individualized Prototyping Toward Industry 5.0. IEEE Transactions on Systems Man and Cybernetics Systems. 54(11). 7092–7105. 6 indexed citations

Qiao, Yan, et al.. (2024). Scheduling analysis of automotive glass manufacturing systems subject to sequence-independent setup time, no-idle machines, and permissive maximum total tardiness constraint. Engineering Applications of Artificial Intelligence. 133. 108299–108299. 4 indexed citations

Qiao, Yan, et al.. (2023). Development of Fault Detection Systems: The Hadoop Ecosystem Implementation. IEEE Robotics & Automation Magazine. 30(2). 22–33. 2 indexed citations

Qiao, Yan, Naiqi Wu, Zhiwu Li, et al.. (2023). A Two-Step Approach to Scheduling a Class of Two-Stage Flow Shops in Automotive Glass Manufacturing. Machines. 11(2). 292–292. 1 indexed citations

Zhu, QingHua, et al.. (2023). Scheduling Single-Arm Multicluster Tools for Two-Type Wafers With Lower-Bound Cycle Time. IEEE Transactions on Systems Man and Cybernetics Systems. 53(11). 6658–6671. 12 indexed citations

Qiao, Yan, et al.. (2023). Dual-Arm Cluster Tool Scheduling for Reentrant Wafer Flows. Electronics. 12(11). 2411–2411. 3 indexed citations

10.

Li, Jie, et al.. (2022). An Efficient Scheduling Method for Single-Arm Cluster Tools With Multifunctional Process Modules. IEEE Transactions on Systems Man and Cybernetics Systems. 53(6). 3270–3283. 7 indexed citations

11.

Zhu, QingHua, et al.. (2022). Optimally Scheduling Dual-Arm Multi-Cluster Tools to Process Two Wafer Types. IEEE Robotics and Automation Letters. 7(3). 5920–5927. 19 indexed citations

12.

Al‐Ahmari, Abdulrahman, Husam Kaid, Zhiwu Li, et al.. (2022). A New MINLP Continuous Time Formulation for Scheduling Optimization of Oil Refinery with Unreliable CDUs. Mathematical Problems in Engineering. 2022. 1–12. 4 indexed citations

13.

Qiao, Yan, et al.. (2021). Wafer Reflectance Prediction for Complex Etching Process Based on K-Means Clustering and Neural Network. IEEE Transactions on Semiconductor Manufacturing. 34(2). 207–216. 10 indexed citations

14.

Qiao, Yan, Yanjun Lü, Jie Li, et al.. (2021). An Efficient Binary Integer Programming Model for Residency Time-Constrained Cluster Tools With Chamber Cleaning Requirements. IEEE Transactions on Automation Science and Engineering. 19(3). 1757–1771. 25 indexed citations

15.

Zhu, QingHua, MengChu Zhou, Yan Qiao, Naiqi Wu, & Yan Hou. (2019). Multiobjective Scheduling of Dual-Blade Robotic Cells in Wafer Fabrication. IEEE Transactions on Systems Man and Cybernetics Systems. 50(12). 5015–5023. 21 indexed citations

16.

Qiao, Yan, Siwei Zhang, Naiqi Wu, et al.. (2019). Efficient Approach to Failure Response of Process Module in Dual-Arm Cluster Tools With Wafer Residency Time Constraints. IEEE Transactions on Systems Man and Cybernetics Systems. 51(3). 1612–1629. 13 indexed citations

17.

Yang, Fajun, Yan Qiao, Kaizhou Gao, et al.. (2018). Efficient Approach to Scheduling of Transient Processes for Time-Constrained Single-Arm Cluster Tools With Parallel Chambers. IEEE Transactions on Systems Man and Cybernetics Systems. 50(10). 3646–3657. 19 indexed citations

18.

Wu, Naiqi, et al.. (2018). Assessment of Energy-Saving Practices of the Hospitality Industry in Macau. Sustainability. 10(1). 255–255. 11 indexed citations

19.

Yang, Fajun, Naiqi Wu, Yan Qiao, et al.. (2017). Modeling and Optimal Cyclic Scheduling of Time-Constrained Single-Robot-Arm Cluster Tools via Petri Nets and Linear Programming. IEEE Transactions on Systems Man and Cybernetics Systems. 50(3). 871–883. 29 indexed citations

20.

Chen, Bingqi, et al.. (2016). Method of haze-removal based on dark channel prior in visual system of apple harvest robot.. Nongye gongcheng xuebao. 32(16). 151–158. 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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