Weinan Sha

1.5k total citations · 2 hit papers
8 papers, 895 citations indexed

About

Weinan Sha is a scholar working on Industrial and Manufacturing Engineering, Information Systems and Management Information Systems. According to data from OpenAlex, Weinan Sha has authored 8 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Industrial and Manufacturing Engineering, 2 papers in Information Systems and 1 paper in Management Information Systems. Recurrent topics in Weinan Sha's work include Digital Transformation in Industry (4 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers) and Manufacturing Process and Optimization (2 papers). Weinan Sha is often cited by papers focused on Digital Transformation in Industry (4 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers) and Manufacturing Process and Optimization (2 papers). Weinan Sha collaborates with scholars based in China and Hong Kong. Weinan Sha's co-authors include Jiewu Leng, Qiang Liu, Thorsten Wuest, Dimitris Mourtzis, Pai Zheng, Baicun Wang, Cunbo Zhuang, Lihui Wang, Zisheng Lin and Xin Chen and has published in prestigious journals such as Scientific Reports, International Journal of Production Research and Computers & Industrial Engineering.

In The Last Decade

Weinan Sha

6 papers receiving 865 citations

Hit Papers

Industry 5.0: Prospect and retrospect 2022 2026 2023 2024 2022 2022 200 400 600
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.

  1. Industry 5.0: Prospect and retrospect
    2022 612 citations Jiewu Leng, Weinan Sha et al. Journal of Manufacturing Systems profile →
  2. Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0
    2022 126 citations Jiewu Leng, Weinan Sha et al. International Journal of Production Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weinan Sha China 5 605 128 110 105 97 8 895
Nikos Panopoulos Greece 22 631 1.0× 183 1.4× 103 0.9× 94 0.9× 151 1.6× 47 1.4k
Shohin Aheleroff New Zealand 7 652 1.1× 91 0.7× 91 0.8× 83 0.8× 107 1.1× 10 948
Prashant M. Ambad India 5 526 0.9× 86 0.7× 151 1.4× 152 1.4× 70 0.7× 8 855
Cheng Qian China 13 489 0.8× 65 0.5× 88 0.8× 81 0.8× 95 1.0× 24 736
Jim Davis United States 9 463 0.8× 107 0.8× 99 0.9× 129 1.2× 93 1.0× 20 809
Bilal Ahmad United Kingdom 18 637 1.1× 98 0.8× 55 0.5× 88 0.8× 96 1.0× 67 911
Theodor Borangiu Romania 18 656 1.1× 115 0.9× 111 1.0× 113 1.1× 146 1.5× 102 1.1k
Rok Vrabič Slovenia 18 472 0.8× 82 0.6× 78 0.7× 116 1.1× 59 0.6× 44 856

Countries citing papers authored by Weinan Sha

Since Specialization
Citations

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

Fields of papers citing papers by Weinan Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weinan Sha

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

All Works

8 of 8 papers shown
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2.
3.
Yan, Douxi, et al.. (2022). Digital twin-driven variant design of a 3C electronic product assembly line. Scientific Reports. 12(1). 3846–3846. 22 indexed citations
4.
Leng, Jiewu, et al.. (2022). Digital twins-based flexible operating of open architecture production line for individualized manufacturing. Advanced Engineering Informatics. 53. 101676–101676. 77 indexed citations
5.
Leng, Jiewu, et al.. (2022). Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0. International Journal of Production Research. 61(13). 4302–4321. 126 indexed citations breakdown →
6.
7.
Leng, Jiewu, Weinan Sha, Baicun Wang, et al.. (2022). Industry 5.0: Prospect and retrospect. Journal of Manufacturing Systems. 65. 279–295. 612 indexed citations breakdown →
8.
Leng, Jiewu, et al.. (2022). Cloud-edge orchestration-based bi-level autonomous process control for mass individualization of rapid printed circuit boards prototyping services. Journal of Manufacturing Systems. 63. 143–161. 55 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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