Pingyu Jiang

5.8k total citations · 1 hit paper
202 papers, 4.2k citations indexed

About

Pingyu Jiang is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Mechanical Engineering. According to data from OpenAlex, Pingyu Jiang has authored 202 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Industrial and Manufacturing Engineering, 36 papers in Management of Technology and Innovation and 34 papers in Mechanical Engineering. Recurrent topics in Pingyu Jiang's work include Manufacturing Process and Optimization (63 papers), Digital Transformation in Industry (58 papers) and Flexible and Reconfigurable Manufacturing Systems (38 papers). Pingyu Jiang is often cited by papers focused on Manufacturing Process and Optimization (63 papers), Digital Transformation in Industry (58 papers) and Flexible and Reconfigurable Manufacturing Systems (38 papers). Pingyu Jiang collaborates with scholars based in China, Hong Kong and United Kingdom. Pingyu Jiang's co-authors include Jiewu Leng, Kai Ding, George Q. Huang, Xueliang Zhou, Qiang Liu, Kailin Xu, Chao Liu, Pulin Li, Chuang Wang and Maolin Yang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Pingyu Jiang

196 papers receiving 4.1k citations

Hit Papers

align trajectories

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.

Blockchain-empowered sustainable manufacturing and product lifecycle management in industry 4.0: A survey

2020 341 citations Pingyu Jiang, Xueliang Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pingyu Jiang China	34	2.6k	610	560	494	385	202	4.2k
Ying Cheng China	28	2.9k 1.1×	761 1.2×	554 1.0×	842 1.7×	248 0.6×	89	4.4k
Dimitris Kiritsis Switzerland	36	2.9k 1.1×	369 0.6×	865 1.5×	641 1.3×	566 1.5×	179	5.1k
Jiewu Leng China	37	4.2k 1.6×	1.2k 2.0×	629 1.1×	496 1.0×	534 1.4×	139	6.5k
Duncan McFarlane United Kingdom	36	2.0k 0.8×	342 0.6×	693 1.2×	475 1.0×	385 1.0×	184	6.0k
Behrad Bagheri United States	11	3.0k 1.1×	456 0.7×	427 0.8×	390 0.8×	291 0.8×	14	4.6k
Thorsten Wuest United States	31	3.8k 1.4×	343 0.6×	957 1.7×	653 1.3×	622 1.6×	121	6.1k
Hung-An Kao United States	9	2.7k 1.0×	421 0.7×	397 0.7×	359 0.7×	239 0.6×	9	4.1k
Heiner Lasi Germany	9	1.7k 0.7×	341 0.6×	512 0.9×	320 0.6×	169 0.4×	32	3.0k
Hans-Georg Kemper Germany	14	1.7k 0.7×	394 0.6×	575 1.0×	340 0.7×	175 0.5×	61	3.2k
László Monostori Hungary	34	4.6k 1.7×	294 0.5×	542 1.0×	985 2.0×	852 2.2×	188	6.5k

Countries citing papers authored by Pingyu Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Pingyu Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingyu Jiang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Maolin, et al.. (2025). Meta-knowledge triple driven multi-modal knowledge graph construction method and application in production line control with Gantt charts. Journal of Manufacturing Systems. 80. 224–242. 2 indexed citations

Jiang, Pingyu, et al.. (2024). Personalized federated unsupervised learning for nozzle condition monitoring using vibration sensors in additive manufacturing. Robotics and Computer-Integrated Manufacturing. 93. 102940–102940. 1 indexed citations

Guo, Wei & Pingyu Jiang. (2024). Weakly Supervised anomaly detection with privacy preservation under a Bi-Level Federated learning framework. Expert Systems with Applications. 254. 124450–124450. 3 indexed citations

Jiang, Pingyu, et al.. (2024). A Granular-Computing-Based Data-Sharing Decision-Making Method for Enabling Blockchain-Based Order Tracking in Social Manufacturing. IEEE Transactions on Computational Social Systems. 11(6). 7952–7966. 1 indexed citations

Yan, Peng, et al.. (2024). A Novel Kind of Knowledge Graph Construction Method for Intelligent Machine as a Service Modeling. Machines. 12(10). 723–723. 1 indexed citations

Jiang, Pingyu, et al.. (2024). Proof-of-trusted-work: A lightweight blockchain consensus for decentralized IoT networks. Digital Communications and Networks. 11(4). 1055–1066. 2 indexed citations

Yang, Maolin, et al.. (2024). Leveraging natural language processing and community detection for shaping manufacturing communities in social manufacturing. Journal of Manufacturing Systems. 74. 1091–1105. 1 indexed citations

Chen, Xin, et al.. (2024). Designing an Industrial Product Service System for Robot-Driven Sanding Processing Line: A Reinforcement Learning Based Approach. Machines. 12(2). 136–136. 2 indexed citations

Yang, Maolin, et al.. (2023). A graphical model for formalizing health maintenance activities in the context of the whole equipment lifecycle. Advanced Engineering Informatics. 58. 102226–102226. 2 indexed citations

10.

Guo, Wei, et al.. (2021). A decision-making model for knowledge collaboration and reuse through scientific workflow. Advanced Engineering Informatics. 49. 101345–101345. 6 indexed citations

11.

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

12.

Guo, Wei & Pingyu Jiang. (2019). Product Service Systems for Social Manufacturing: A new service system with multi-provider. IFAC-PapersOnLine. 52(13). 749–754. 5 indexed citations

13.

Ding, Kai & Pingyu Jiang. (2017). Social Sensors (S2ensors): A Kind of Hardware-Software-Integrated Mediators for Social Manufacturing Systems Under Mass Individualization. Chinese Journal of Mechanical Engineering. 30(5). 1150–1161. 14 indexed citations

14.

Zhou, Xueliang, Pingyu Jiang, & Yan Wang. (2016). Sensitivity analysis–based dynamic process capability evaluation for small batch production runs. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 230(10). 1855–1869. 8 indexed citations

15.

Jiang, Pingyu, et al.. (2016). Energy-aware integration of process planning and scheduling of advanced machining workshop. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 231(11). 2040–2055. 24 indexed citations

16.

Jiang, Pingyu. (2013). Quality Prediction of Multistage Machining Processes Based on Assigned Error Propagation Network. Journal of Mechanical Engineering. 49(6). 160–160. 10 indexed citations

17.

Jiang, Pingyu, et al.. (2012). RFID Based e-quality tracking in service-oriented manufacturing execution system. Chinese Journal of Mechanical Engineering. 25(5). 974–981. 8 indexed citations

18.

Jiang, Pingyu, et al.. (2009). Modelling of machining error flow based on form features for multistage processes. International Journal of Computer Integrated Manufacturing. 22(9). 857–876. 9 indexed citations

19.

Jiang, Pingyu, et al.. (2007). Service in e‐design. Journal of Manufacturing Technology Management. 18(1). 90–105. 3 indexed citations

20.

Jiang, Pingyu, et al.. (1997). Technical Information. Progress in Advanced Manufacturing Technology and Product Development Methodology.. JOURNAL OF THE JAPAN WELDING SOCIETY. 66(4). 297–302. 1 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.

Explore authors with similar magnitude of impact