Baicun Wang

6.3k total citations · 11 hit papers
63 papers, 4.0k citations indexed

About

Baicun Wang is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Baicun Wang has authored 63 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Industrial and Manufacturing Engineering, 15 papers in Mechanical Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Baicun Wang's work include Digital Transformation in Industry (26 papers), Manufacturing Process and Optimization (12 papers) and Flexible and Reconfigurable Manufacturing Systems (9 papers). Baicun Wang is often cited by papers focused on Digital Transformation in Industry (26 papers), Manufacturing Process and Optimization (12 papers) and Flexible and Reconfigurable Manufacturing Systems (9 papers). Baicun Wang collaborates with scholars based in China, United States and Sweden. Baicun Wang's co-authors include Lihui Wang, Pai Zheng, Jiyuan Zang, Yanhong Zhou, Dimitris Mourtzis, Ji Zhou, Theodor Freiheit, Xingyu Li, Thorsten Wuest and Yue Yin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Energy and International Journal of Hydrogen Energy.

In The Last Decade

Baicun Wang

58 papers receiving 3.9k citations

Hit Papers

Industry 5.0: Prospect and retrospect 2018 2026 2020 2023 2022 2018 2022 2020 2019 200 400 600

Peers

Baicun Wang
Comparison fields: 5 of 149
  • Industrial and Manufacturing Engineering 2.1k
  • Mechanical Engineering 720
  • Biomedical Engineering 405
  • Control and Systems Engineering 389
  • Strategy and Management 335
Replace Xi Vincent Wang with:
Xi Vincent Wang Sweden
Kai Ding China
Yixiong Feng China
Chao Liu China
Aydin Nassehi United Kingdom
Thomas Bauernhansl Germany
Gualtiero Fantoni Italy
S. K. Ong Singapore
Gunther Reinhart Germany
Klaus‐Dieter Thoben Germany
Xi Vincent Wang Sweden View profile →
Citations per field, relative to Baicun Wang
Baicun Wang · 1×
Citations per year, relative to Baicun Wang
Baicun Wang · 1×

Countries citing papers authored by Baicun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baicun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baicun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Baicun Wang. A scholar is included among the top collaborators of Baicun 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 Baicun Wang. Baicun 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
# Work Indexed citations
1 8
2 0
3 3
4 13
5 5
6 0
7 20
8 23
9 31
10 4
11 66
12 3
13 5
14 1
15 1
16
Deep reinforcement learning in smart manufacturing: A review and prospects breakdown →
176
17 16
18 15
19 28
20 33

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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