Xi Vincent Wang

6.0k total citations · 2 hit papers
146 papers, 3.9k citations indexed

About

Xi Vincent Wang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Xi Vincent Wang has authored 146 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Industrial and Manufacturing Engineering, 34 papers in Control and Systems Engineering and 27 papers in Mechanical Engineering. Recurrent topics in Xi Vincent Wang's work include Digital Transformation in Industry (49 papers), Manufacturing Process and Optimization (31 papers) and Robot Manipulation and Learning (21 papers). Xi Vincent Wang is often cited by papers focused on Digital Transformation in Industry (49 papers), Manufacturing Process and Optimization (31 papers) and Robot Manipulation and Learning (21 papers). Xi Vincent Wang collaborates with scholars based in Sweden, China and New Zealand. Xi Vincent Wang's co-authors include Lihui Wang, Xun Xu, Sichao Liu, József Váncza, Yongkui Liu, Liang Gao, Robert X. Gao, Sotiris Makris, Jörg Krüger and George Chryssolouris and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Xi Vincent Wang

126 papers receiving 3.8k citations

Hit Papers

Symbiotic human-robot collaborative assembly 2019 2026 2021 2023 2019 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Vincent Wang Sweden 30 2.2k 815 586 442 397 146 3.9k
Baicun Wang China 24 2.1k 1.0× 389 0.5× 720 1.2× 405 0.9× 335 0.8× 63 4.0k
Wenjun Xu China 27 1.9k 0.9× 677 0.8× 375 0.6× 246 0.6× 270 0.7× 159 3.0k
Chao Liu China 36 2.8k 1.3× 815 1.0× 1.1k 1.8× 518 1.2× 259 0.7× 200 6.2k
Qiang Liu China 28 3.0k 1.4× 319 0.4× 416 0.7× 269 0.6× 356 0.9× 156 4.9k
Zhuming Bi United States 40 2.5k 1.1× 1.0k 1.3× 1.2k 2.0× 683 1.5× 468 1.2× 232 6.4k
Jiewu Leng China 37 4.2k 2.0× 442 0.5× 534 0.9× 222 0.5× 629 1.6× 139 6.5k
Thomas Bauernhansl Germany 28 2.9k 1.4× 305 0.4× 294 0.5× 364 0.8× 494 1.2× 258 4.4k
Maurizio Faccio Italy 35 2.3k 1.1× 545 0.7× 206 0.4× 307 0.7× 475 1.2× 134 3.9k
Behrad Bagheri United States 11 3.0k 1.4× 633 0.8× 291 0.5× 159 0.4× 427 1.1× 14 4.6k
Lei Ren China 38 2.2k 1.0× 1.4k 1.8× 695 1.2× 224 0.5× 286 0.7× 150 6.1k

Countries citing papers authored by Xi Vincent Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Vincent Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xi Vincent Wang. 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 Xi Vincent Wang. The network helps show where Xi Vincent Wang may publish in the future.

Co-authorship network of co-authors of Xi Vincent Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Vincent Wang. A scholar is included among the top collaborators of Xi Vincent Wang 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 Xi Vincent Wang. Xi Vincent Wang 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.
Li, Shufei, et al.. (2026). Physics-informed embodied intelligence in the foundation model era: Advancing robot manipulation for smart manufacturing. Advanced Engineering Informatics. 71. 104370–104370.
2.
Wang, Xi Vincent, et al.. (2025). Development of a continuum robot with inflatable stiffness-adjustable elements for in-situ repair of aeroengines. Robotics and Computer-Integrated Manufacturing. 95. 103018–103018. 1 indexed citations
3.
Kronqvist, Jan, et al.. (2025). Fusing model-based and data-driven prognostic methods for real-time model updating. Mechanical Systems and Signal Processing. 238. 113200–113200.
4.
Li, Xixing, Hongtao Tang, Rui Wu, et al.. (2025). A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem. Journal of Manufacturing Systems. 80. 794–823. 4 indexed citations
5.
Liu, Zhihao, et al.. (2025). Robot digital twin systems in manufacturing: Technologies, applications, trends and challenges. Robotics and Computer-Integrated Manufacturing. 97. 103103–103103. 3 indexed citations
6.
Liu, Sichao, et al.. (2025). Multimodal human-robot collaboration: advancements and future directions. International Journal of Manufacturing Research. 20(5). 1–47. 1 indexed citations
7.
Sun, Xia, et al.. (2025). A vision and language hierarchical alignment for multimodal aspect-based sentiment analysis. Pattern Recognition. 162. 111369–111369. 3 indexed citations
8.
Li, Xiaobin, et al.. (2025). A cloud manufacturing service composition optimization method for fuzzy demands based on improved NSGA-III algorithm. Robotics and Computer-Integrated Manufacturing. 97. 103106–103106. 1 indexed citations
9.
Jiang, Pei, Xiaobin Li, Huajun Cao, et al.. (2025). Industrial Robots Energy Consumption Modeling, Identification and Optimization Through Time-Scaling. IEEE Transactions on Robotics. 41. 1456–1475.
10.
Jiang, Pei, et al.. (2025). A novel hybrid LSTM and masked multi-head attention based network for energy consumption prediction of industrial robots. Applied Energy. 383. 125223–125223. 7 indexed citations
11.
Chen, Xin, Yibing Li, Kaipu Wang, et al.. (2024). Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing. Journal of Manufacturing Systems. 76. 188–206. 18 indexed citations
13.
Wang, Xi Vincent, et al.. (2024). A literature survey of smart manufacturing systems for medical applications. Journal of Manufacturing Systems. 76. 502–519. 4 indexed citations
14.
Zhao, Yuxuan, et al.. (2024). Research of online courses recommendation based on deep learning. Procedia Computer Science. 242. 219–227.
15.
Wang, Xi Vincent, et al.. (2024). Learning accurate and efficient three-finger grasp generation in clutters with an auto-annotated large-scale dataset. Robotics and Computer-Integrated Manufacturing. 91. 102822–102822.
17.
Liu, Jing, et al.. (2023). An analytical differential kinematics-based method for controlling tendon-driven continuum robots. Robotics and Autonomous Systems. 171. 104562–104562. 10 indexed citations
18.
Givehchi, Mohammad, Yongkui Liu, Xi Vincent Wang, & Lihui Wang. (2022). Function block-enabled operation planning and machine control in Cloud-DPP. International Journal of Production Research. 61(4). 1168–1184. 5 indexed citations
19.
Liu, Peiji, Zhenyu Zhang, Xu Wang, et al.. (2021). A generalized method for the inherent energy performance modeling of machine tools. Journal of Manufacturing Systems. 61. 406–422. 14 indexed citations
20.
Liu, Yongkui, Lihui Wang, Xi Vincent Wang, Xun Xu, & Pingyu Jiang. (2019). Cloud manufacturing: key issues and future perspectives. International Journal of Computer Integrated Manufacturing. 32(9). 858–874. 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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