Jinsong Bao

5.1k total citations · 2 hit papers
150 papers, 3.5k citations indexed

About

Jinsong Bao is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Jinsong Bao has authored 150 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Industrial and Manufacturing Engineering, 24 papers in Mechanical Engineering and 22 papers in Control and Systems Engineering. Recurrent topics in Jinsong Bao's work include Manufacturing Process and Optimization (48 papers), Digital Transformation in Industry (43 papers) and Advanced Manufacturing and Logistics Optimization (15 papers). Jinsong Bao is often cited by papers focused on Manufacturing Process and Optimization (48 papers), Digital Transformation in Industry (43 papers) and Advanced Manufacturing and Logistics Optimization (15 papers). Jinsong Bao collaborates with scholars based in China, Hong Kong and New Zealand. Jinsong Bao's co-authors include Shimin Liu, Yuqian Lu, Tianyuan Liu, Xuemin Sun, Bin Zhou, Pai Zheng, Jie Li, Rong Zhang, Jie Zhang and Jie Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Jinsong Bao

134 papers receiving 3.4k citations

Hit Papers

CausalKGPT: Industrial structure causal knowledge-enhance... 2023 2026 2024 2025 2024 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinsong Bao China 34 2.2k 559 416 385 257 150 3.5k
Michael Weyrich Germany 28 1.6k 0.7× 201 0.4× 477 1.1× 532 1.4× 227 0.9× 232 3.2k
Dunbing Tang China 28 2.3k 1.1× 565 1.0× 403 1.0× 245 0.6× 106 0.4× 142 3.3k
Xi Vincent Wang Sweden 30 2.2k 1.0× 586 1.0× 815 2.0× 221 0.6× 344 1.3× 146 3.9k
Tianliang Hu China 22 2.0k 0.9× 708 1.3× 408 1.0× 98 0.3× 116 0.5× 77 3.0k
Zhenyu Liu China 34 1.1k 0.5× 1.0k 1.8× 802 1.9× 368 1.0× 570 2.2× 336 4.5k
Wenjun Xu China 27 1.9k 0.9× 375 0.7× 677 1.6× 155 0.4× 206 0.8× 159 3.0k
Ying Tang United States 34 1.8k 0.8× 903 1.6× 204 0.5× 310 0.8× 149 0.6× 170 3.6k
Liang Qi China 31 1.4k 0.7× 257 0.5× 511 1.2× 450 1.2× 327 1.3× 214 3.5k
Xiwang Guo China 28 2.1k 1.0× 405 0.7× 379 0.9× 318 0.8× 316 1.2× 173 3.2k

Countries citing papers authored by Jinsong Bao

Since Specialization
Citations

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

Fields of papers citing papers by Jinsong Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsong Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsong Bao. A scholar is included among the top collaborators of Jinsong Bao 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 Jinsong Bao. Jinsong Bao 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, Jie, et al.. (2024). ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management. Journal of Manufacturing Systems. 76. 429–442. 13 indexed citations
2.
Bao, Jinsong, et al.. (2024). Empowering digital twins with large language models for global temporal feature learning. Journal of Manufacturing Systems. 74. 83–99. 36 indexed citations
3.
Zhou, Bin, et al.. (2024). CausalKGPT: Industrial structure causal knowledge-enhanced large language model for cause analysis of quality problems in aerospace product manufacturing. Advanced Engineering Informatics. 59. 102333–102333. 75 indexed citations breakdown →
4.
Bao, Jinsong, et al.. (2024). Co-evolutionary digital twins: A multidimensional dynamic approach to digital engineering. Advanced Engineering Informatics. 61. 102554–102554. 12 indexed citations
5.
Liu, Shimin, Pai Zheng, Liqiao Xia, & Jinsong Bao. (2023). A dynamic updating method of digital twin knowledge model based on fused memorizing-forgetting model. Advanced Engineering Informatics. 57. 102115–102115. 11 indexed citations
6.
Li, Xinyu, et al.. (2023). Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph. Advanced Engineering Informatics. 55. 101880–101880. 33 indexed citations
7.
Lu, Yuqian, et al.. (2023). Prognostics and health management via long short-term digital twins. Journal of Manufacturing Systems. 68. 560–575. 17 indexed citations
8.
Zheng, Yu, et al.. (2023). Assembly sequence planning method for optimum assembly accuracy of complex products based on modified teaching–learning based optimization algorithm. The International Journal of Advanced Manufacturing Technology. 126(3-4). 1681–1699. 6 indexed citations
9.
Li, Jie, et al.. (2023). An Augmented Reality-Assisted Disassembly Approach for End-of-Life Vehicle Power Batteries. Machines. 11(12). 1041–1041. 3 indexed citations
10.
Liu, Tianyuan, et al.. (2023). Enhancing gastrointestinal submucosal tumor recognition in endoscopic ultrasonography: A novel multi-attribute guided contextual attention network. Expert Systems with Applications. 242. 122725–122725. 4 indexed citations
11.
Liu, Tianyuan, et al.. (2022). An Explainable Laser Welding Defect Recognition Method Based on Multi-Scale Class Activation Mapping. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 11 indexed citations
12.
Bao, Jinsong, et al.. (2021). Flow-shop path planning for multi-automated guided vehicles in intelligent textile spinning cyber-physical production systems dynamic environment. Journal of Manufacturing Systems. 59. 98–116. 38 indexed citations
13.
14.
Qiu, Wei, Zhengqi Lu, Yongqiang Dai, et al.. (2011). Acute transverse myelitis in demyelinating diseases among the Chinese. Journal of Neurology. 258(12). 2206–2213. 20 indexed citations
15.
Bao, Jinsong, et al.. (2009). Progress on cloning and functional analysis of dwarfism related genes in rice.. Zhongguo shuidao kexue. 23(1). 1–11. 4 indexed citations
16.
Bao, Jinsong, et al.. (2008). Research and Design of Lunar Rover's Locomotion Simulation System under VR Environment. Machine Design and Research. 1 indexed citations
17.
Bao, Jinsong. (2005). Navigation Path Multi-resolution Planning in Virtual Environment. Acta Simulata Systematica Sinica.
18.
Bao, Jinsong, et al.. (2000). Analysis of genetic covariances between rice eating and cooking quality and plant height at different stages.. Acta Agriculturae Zhejiangensis. 12(1). 6–10. 1 indexed citations
19.
Bao, Jinsong, et al.. (2000). Effects of genotype × environment interaction on eating and cooking quality of indica rice.. SHILAP Revista de lepidopterología. 26(2). 144–150. 2 indexed citations
20.
Bao, Jinsong, et al.. (2000). Comparative mapping quantitative trait loci controlling the cooking and eating quality of rice (Oryza sativa L.).. Zhongguo nongye Kexue. 33(5). 8–13. 8 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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