Chengfeng Jian

446 total citations
34 papers, 308 citations indexed

About

Chengfeng Jian is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Computer Networks and Communications. According to data from OpenAlex, Chengfeng Jian has authored 34 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Industrial and Manufacturing Engineering and 10 papers in Computer Networks and Communications. Recurrent topics in Chengfeng Jian's work include IoT and Edge/Fog Computing (9 papers), Manufacturing Process and Optimization (8 papers) and Digital Transformation in Industry (7 papers). Chengfeng Jian is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Manufacturing Process and Optimization (8 papers) and Digital Transformation in Industry (7 papers). Chengfeng Jian collaborates with scholars based in China. Chengfeng Jian's co-authors include Meiyu Zhang, Jing Ping, Miao Li, Xiaoyu Xiang, Jiawei Chen, Miao Li, Tao Meng, Hao Xu, Ying Yue and Hui Xiang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and International Journal of Production Research.

In The Last Decade

Chengfeng Jian

32 papers receiving 296 citations

Peers

Chengfeng Jian

IME

CNC

CVPR

Xiaoqing Frank Liu United States

Ruhan He China

Gabriel Chukwunonso Amaizu South Korea

Alma Oracevic United Kingdom

Kashif Nizam Khan Finland

Holger Flatt Germany

Stefan Profanter Germany

Yiwen Wu China

Víctor Casamayor Pujol Austria

Martin Gunnarsson Sweden

Xiaoqing Frank Liu United States

Chengfeng Jian

144 ×1.3

IME

64 ×0.6

CNC

108 ×1.3

17 ×0.3

CVPR

69 ×1.8

Citations per year, relative to Chengfeng Jian Chengfeng Jian (= 1×) peers Xiaoqing Frank Liu

Countries citing papers authored by Chengfeng Jian

Since Specialization

Citations

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

Fields of papers citing papers by Chengfeng Jian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengfeng Jian

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

All Works

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20 of 20 papers shown

Jian, Chengfeng, Dai Zhou, Jinyu Chen, & Meiyu Zhang. (2025). STEP-based Model Recommendation Method for the Exchange and Reuse of Digital Twins. Journal of Industrial Information Integration. 45. 100839–100839.

Zhang, Meiyu, et al.. (2024). A DRL-based online real-time task scheduling method with ISSA strategy. Cluster Computing. 27(6). 8207–8223. 1 indexed citations

Jian, Chengfeng, et al.. (2023). QSCC: A Quaternion Semantic Cell Convolution Graph Neural Network for MBD Product Model Classification. IEEE Transactions on Industrial Informatics. 19(12). 11477–11486. 4 indexed citations

Zhang, Meiyu, et al.. (2023). GNN-based deep reinforcement learning for MBD product model recommendation. International Journal of Computer Integrated Manufacturing. 37(1-2). 183–197. 6 indexed citations

Jian, Chengfeng, et al.. (2023). Online-learning task scheduling with GNN-RL scheduler in collaborative edge computing. Cluster Computing. 27(1). 589–605. 2 indexed citations

Xiang, Hui, Meiyu Zhang, & Chengfeng Jian. (2023). Federated deep reinforcement learning-based online task offloading and resource allocation in harsh mobile edge computing environment. Cluster Computing. 27(3). 3323–3339. 5 indexed citations

Jian, Chengfeng, et al.. (2022). A novel graph neural networks approach for 3D product model retrieval. International Journal of Computer Integrated Manufacturing. 36(3). 381–392. 4 indexed citations

Jian, Chengfeng, et al.. (2022). A high-efficiency learning model for virtual machine placement in mobile edge computing. Cluster Computing. 25(5). 3051–3066. 16 indexed citations

Hou, Xianghui, et al.. (2022). A hybrid manufacturing scheduling optimization strategy in collaborative edge computing. Evolutionary Intelligence. 17(2). 1065–1077. 2 indexed citations

10.

Jian, Chengfeng, et al.. (2021). An improved memory networks based product model classification method. International Journal of Computer Integrated Manufacturing. 34(3). 293–306. 3 indexed citations

11.

Jian, Chengfeng, et al.. (2021). RD-Hand: a real-time regression-based detector for dynamic hand gesture. Applied Intelligence. 52(1). 417–428. 3 indexed citations

12.

Jian, Chengfeng, Jing Ping, & Meiyu Zhang. (2020). A cloud edge-based two-level hybrid scheduling learning model in cloud manufacturing. International Journal of Production Research. 59(16). 4836–4850. 36 indexed citations

13.

Jian, Chengfeng, Jiawei Chen, Jing Ping, & Meiyu Zhang. (2019). An Improved Chaotic Bat Swarm Scheduling Learning Model on Edge Computing. IEEE Access. 7. 58602–58610. 22 indexed citations

14.

Jian, Chengfeng, Tao Lü, Xiaoyu Xiang, & Meiyu Zhang. (2018). An improved mixed gaussian-based background modelling method for fast gesture segmentation of mobile terminals. Traitement du signal. 35(3-4). 243–252. 4 indexed citations

15.

Jian, Chengfeng, et al.. (2018). An improved NBA-based STEP design intention feature recognition. Future Generation Computer Systems. 88. 357–362. 20 indexed citations

16.

Jian, Chengfeng, Wei Zhang, & Ying Yue. (2015). A MICRO-GESTURE RECOGNITION ON THE MOBILE WEB CLIENT. 2(2). 19–24. 3 indexed citations

17.

Jian, Chengfeng, et al.. (2014). A particle swarm optimisation algorithm for cloud-oriented workflow scheduling based on reliability. International Journal of Computer Applications in Technology. 50(3/4). 220–220. 8 indexed citations

18.

Jian, Chengfeng, et al.. (2013). Time - Constrained Workflow Scheduling In Cloud Environment Using Simulation Annealing Algorithm. Journal of Engineering Science and Technology Review. 6(5). 33–37. 11 indexed citations

19.

Jian, Chengfeng & Fang Li. (2013). AN IMPROVED VIRUS EVOLUTIONARY GENETIC ALGORITHM FOR WORKFLOW MINING. 4 indexed citations

20.

Jian, Chengfeng, et al.. (2011). XOEM plus OWL-based STEP Product Information Uniform Description and Implementation. Journal of Networks. 6(12). 2 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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