Ji Zhou

1.4k total citations · 2 hit papers
28 papers, 985 citations indexed

About

Ji Zhou is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Ji Zhou has authored 28 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 7 papers in Mechanical Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Ji Zhou's work include Manufacturing Process and Optimization (15 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers) and Advanced machining processes and optimization (4 papers). Ji Zhou is often cited by papers focused on Manufacturing Process and Optimization (15 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers) and Advanced machining processes and optimization (4 papers). Ji Zhou collaborates with scholars based in China, United States and Canada. Ji Zhou's co-authors include Jiyuan Zang, Baicun Wang, Yanhong Zhou, Peigen Li, Xuelin Wang, Jianqiao Chen, Jun Yu, Hongqi Liu, Xinyong Mao and Bin Li and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, International Journal of Machine Tools and Manufacture and Computers & Structures.

In The Last Decade

Ji Zhou

28 papers receiving 950 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Toward New-Generation Intelligent Manufacturing

2018 443 citations Ji Zhou, Yanhong Zhou et al. Engineering profile →
Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing

2019 318 citations Ji Zhou, Yanhong Zhou et al. Engineering profile →

Peers

Ji Zhou

IME

ME

SM

CSE

EE

Jiyuan Zang China

Santosh Bhosle India

Roger Ivor Grosvenor United Kingdom

Dario Antonelli Italy

Zhiqian Sang China

Íñigo Barandiarán Spain

Roberto Macchiaroli Italy

Baocun Hou China

Huiyue Huang New Zealand

Jiyuan Zang China

Ji Zhou

517 ×0.9

IME

101 ×0.6

ME

90 ×1.0

SM

77 ×0.8

CSE

95 ×1.1

EE

Citations per year, relative to Ji Zhou Ji Zhou (= 1×) peers Jiyuan Zang

Countries citing papers authored by Ji Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Ji Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Zhou

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Huang, Qiang, Jianwen Liao, Ji Zhou, & Jun Li. (2020). Research on dominant vibration mode analysis of machining process of machine tools. The International Journal of Advanced Manufacturing Technology. 109(1-2). 275–287. 3 indexed citations

2.

Zhou, Ji, Yanhong Zhou, Baicun Wang, & Jiyuan Zang. (2019). Human–Cyber–Physical Systems (HCPSs) in the Context of New-Generation Intelligent Manufacturing. Engineering. 5(4). 624–636. 318 indexed citations breakdown →

3.

Zhou, Ji, et al.. (2018). Prediction of cutting force in milling process using vibration signals of machine tool. The International Journal of Advanced Manufacturing Technology. 99(1-4). 965–984. 19 indexed citations

4.

Huang, Weijian, et al.. (2016). An analytical index relating cutting force to axial depth of cut for cylindrical end mills. International Journal of Machine Tools and Manufacture. 111. 63–67. 11 indexed citations

5.

Zhou, Ji. (2013). Digitalization and intelligentization of manufacturing industry. Advances in Manufacturing. 1(1). 1–7. 93 indexed citations

6.

Huang, Zhengdong, et al.. (2003). Solving CSG equations for checking equivalency between two different geometric models. Computer-Aided Design. 36(10). 975–992. 5 indexed citations

7.

Guo, Yu, Liping Chen, Shuting Wang, & Ji Zhou. (2003). A New Simulation Optimisation System for the Parameters of a Machine Cell Simulation Model. The International Journal of Advanced Manufacturing Technology. 21(8). 620–626. 5 indexed citations

8.

Yip‐Hoi, Derek, et al.. (2003). A Graph-Based Approach for Capturing the Capability Envelope of a Machining Process. Journal of Manufacturing Science and Engineering. 125(2). 272–288. 8 indexed citations

9.

Zhou, Ji. (2000). The Julia set of a random iteration system. Bulletin of the Australian Mathematical Society. 62(1). 45–50. 2 indexed citations

10.

Chen, Baihong, et al.. (2000). Properties of the Coupled Factors in MDO and Their Application in Collaborative Optimization. 215–222. 1 indexed citations

11.

Wang, Xuelin, Ji Zhou, & Yujin Hu. (1999). A physics-based parameterization method for shape optimization. Computer Methods in Applied Mechanics and Engineering. 175(1-2). 41–51. 9 indexed citations

12.

Li, Qiang & Ji Zhou. (1999). Complex genetic algorithm in continuous space. Chinese Science Bulletin. 44(10). 954–960. 1 indexed citations

13.

Wang, Xuelin & Ji Zhou. (1999). An accelerated subspace iteration method for generalized eigenproblems. Computers & Structures. 71(3). 293–301. 12 indexed citations

14.

Li, Chenggang, et al.. (1996). <title>Intelligent CAD approach for modular design</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2644. 614–619. 1 indexed citations

15.

Qian, Xiaoping, et al.. (1996). <title>Research and development in feature-based parametric modeling</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2644. 422–427. 1 indexed citations

16.

Zhou, Ji, et al.. (1995). A Heuristic Method for Two-Dimensional Layout Problems. 523–527. 2 indexed citations

17.

Wang, Qun, Ming Rao, & Ji Zhou. (1995). Intelligennt systems approach to conceptual design. International Journal of Intelligent Systems. 10(3). 259–293. 4 indexed citations

18.

Zhang, Xinfang, et al.. (1994). Case Prototype Based Design: Philosophy and Implementation. 369–374. 2 indexed citations

19.

Yu, Jun, et al.. (1993). A Genetic Algorithm for Solving Mixed Discrete Optimization Problems. 499–504. 10 indexed citations

20.

Rao, Ming, et al.. (1991). PHIIS: A parallel hierarchical integrated intelligent system for engineering design automation. Engineering Applications of Artificial Intelligence. 4(2). 145–150. 3 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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