Guozhu Jia
- Strategy and Management top 5%
- Management Science and Operations Research top 2%
- Industrial and Manufacturing Engineering top 2%
- Economics and Econometrics top 5%
- Automotive Engineering top 5%
- Co-authors
- Liang ChenCheng YangZeyu JiaoYingjie CaiYao LiManying BaiSyed Saad AhmedMuhammad Mumtaz Khan
- Topics
- Manufacturing Process and Optimization (7 papers)Digital Transformation in Industry (7 papers)Quality Function Deployment in Product Design (4 papers)
In The Last Decade
Guozhu Jia
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Strategy and Management 274
- Management Science and Operations Research 265
- Industrial and Manufacturing Engineering 228
- Economics and Econometrics 217
- Automotive Engineering 187
Countries citing papers authored by Guozhu Jia
This map shows the geographic impact of Guozhu Jia'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 Guozhu Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guozhu Jia more than expected).
Fields of papers citing papers by Guozhu Jia
This network shows the impact of papers produced by Guozhu Jia. 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 Guozhu Jia. The network helps show where Guozhu Jia may publish in the future.
Co-authorship network of co-authors of Guozhu Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Guozhu Jia. A scholar is included among the top collaborators of Guozhu Jia 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 Guozhu Jia. Guozhu Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 6 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 23 | |
| 16 | 240 | |
| 17 | 1 | |
| 18 | 52 | |
| 19 | A study concerning NORM in integrated steelworks | 2 |
| 20 | Research on the Comparison of Undergraduate Education Programs of Industrial Engineering Both at Home and Abroad | 1 |
About Guozhu Jia
Guozhu Jia is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Medical Laboratory Technology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (7 papers), Digital Transformation in Industry (7 papers) and Quality Function Deployment in Product Design (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (228 citations), Management Science and Operations Research (265 citations) and Management of Technology and Innovation (136 citations). Guozhu Jia has collaborated with scholars based in China, Hong Kong and Denmark. Frequent co-authors include Liang Chen, Cheng Yang, Zeyu Jiao, Yingjie Cai, Yao Li, Manying Bai, Syed Saad Ahmed, Muhammad Mumtaz Khan, Essa Khan and Muhammad Shujaat Mubarik. Their work appears in journals such as Journal of Cleaner Production, European Journal of Operational Research and Sustainability.
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.