Jiafu Wan

21.1k total citations · 22 hit papers
188 papers, 15.0k citations indexed

About

Jiafu Wan is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Jiafu Wan has authored 188 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computer Networks and Communications, 60 papers in Industrial and Manufacturing Engineering and 35 papers in Control and Systems Engineering. Recurrent topics in Jiafu Wan's work include IoT and Edge/Fog Computing (53 papers), Digital Transformation in Industry (52 papers) and Manufacturing Process and Optimization (22 papers). Jiafu Wan is often cited by papers focused on IoT and Edge/Fog Computing (53 papers), Digital Transformation in Industry (52 papers) and Manufacturing Process and Optimization (22 papers). Jiafu Wan collaborates with scholars based in China, Saudi Arabia and United Kingdom. Jiafu Wan's co-authors include Di Li, Shiyong Wang, Athanasios V. Vasilakos, Chunhua Zhang, Daqiang Zhang, Muhammad Imran, Jianqi Liu, Hui Suo, Min Xia and Baotong Chen and has published in prestigious journals such as Journal of Power Sources, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Jiafu Wan

184 papers receiving 14.4k citations

Hit Papers

Towards smart factory for industry 4.0: a self-organized ... 2011 2026 2016 2021 2016 2016 2014 2017 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiafu Wan China 59 6.0k 4.5k 2.8k 2.7k 2.6k 188 15.0k
Li Da Xu United States 61 8.5k 1.4× 5.3k 1.2× 1.1k 0.4× 3.5k 1.3× 6.2k 2.4× 234 22.5k
Fei Tao China 68 3.4k 0.6× 17.2k 3.8× 2.0k 0.7× 1.9k 0.7× 3.5k 1.4× 345 25.7k
Zhiwu Li China 71 1.7k 0.3× 6.9k 1.5× 1.9k 0.7× 1.9k 0.7× 917 0.4× 731 18.2k
Lei Shu China 71 9.8k 1.6× 1.1k 0.3× 1.5k 0.5× 6.0k 2.2× 2.9k 1.1× 567 18.6k
Di Li China 43 2.5k 0.4× 3.4k 0.7× 1.1k 0.4× 1.2k 0.4× 1.0k 0.4× 199 8.0k
Muhammad Imran Saudi Arabia 65 7.8k 1.3× 1.2k 0.3× 959 0.3× 4.0k 1.5× 4.1k 1.6× 366 16.7k
Luigi Atzori Italy 36 10.1k 1.7× 1.1k 0.2× 769 0.3× 4.3k 1.6× 3.8k 1.5× 217 16.1k
Antonio Iera Italy 36 11.5k 1.9× 1.0k 0.2× 691 0.2× 6.4k 2.4× 3.5k 1.4× 292 17.5k
Thippa Reddy Gadekallu India 69 5.1k 0.8× 1.1k 0.2× 1.0k 0.4× 2.5k 0.9× 3.9k 1.5× 363 16.9k
Giacomo Morabito Italy 31 10.2k 1.7× 973 0.2× 572 0.2× 4.4k 1.6× 3.2k 1.3× 149 15.1k

Countries citing papers authored by Jiafu Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jiafu Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiafu Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Jiafu Wan. A scholar is included among the top collaborators of Jiafu Wan 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 Jiafu Wan. Jiafu Wan 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.
Wan, Jiafu, et al.. (2025). Domain-Knowledge-Driven Intelligent Attribute Definition for Zero-Shot Fault Diagnosis of Bearings. IEEE Transactions on Industrial Informatics. 21(7). 5286–5296.
2.
Luo, Fang, et al.. (2025). Contrastive prototype guided federated learning for rotating machinery fault diagnosis under spatio-temporal domain shift. Mechanical Systems and Signal Processing. 232. 112707–112707. 8 indexed citations
3.
Li, Di, et al.. (2025). Multi-agent collaboration mechanisms based on distributed online meta-learning for mass personalization. Journal of Industrial Information Integration. 46. 100852–100852. 3 indexed citations
4.
Wan, Jiafu, et al.. (2024). Digital Twin-Driven Multi-Factor Production Capacity Prediction for Discrete Manufacturing Workshop. Applied Sciences. 14(7). 3119–3119. 7 indexed citations
5.
Shao, Haidong, Wei Li, Baoping Cai, et al.. (2023). Dual-Threshold Attention-Guided GAN and Limited Infrared Thermal Images for Rotating Machinery Fault Diagnosis Under Speed Fluctuation. IEEE Transactions on Industrial Informatics. 19(9). 9933–9942. 195 indexed citations breakdown →
6.
Wan, Jiafu, et al.. (2023). Digital twin modeling for fidget spinner manufacturing line. 26. 131–131. 1 indexed citations
7.
Shao, Haidong, Min Xia, Jiafu Wan, & Clarence W. de Silva. (2021). Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery. IEEE/ASME Transactions on Mechatronics. 27(1). 24–33. 170 indexed citations breakdown →
8.
Afrin, Mahbuba, Jiong Jin, Akhlaqur Rahman, et al.. (2021). Resource Allocation and Service Provisioning in Multi-Agent Cloud Robotics: A Comprehensive Survey. IEEE Communications Surveys & Tutorials. 23(2). 842–870. 94 indexed citations
9.
Zhao, Yu, et al.. (2021). LCANet: Lightweight Context-Aware Attention Networks for Earthquake Detection and Phase-Picking on IoT Edge Devices. IEEE Systems Journal. 16(3). 4024–4035. 11 indexed citations
10.
Iqbal, Waseem, et al.. (2020). ALAM: Anonymous Lightweight Authentication Mechanism for SDN-Enabled Smart Homes. IEEE Internet of Things Journal. 8(12). 9622–9633. 59 indexed citations
11.
Yan, Hehua, et al.. (2020). KnowIME: A System to Construct a Knowledge Graph for Intelligent Manufacturing Equipment. IEEE Access. 8. 41805–41813. 42 indexed citations
12.
Zhao, Rongli, Douxi Yan, Qiang Liu, et al.. (2019). Digital Twin-Driven Cyber-Physical System for Autonomously Controlling of Micro Punching System. IEEE Access. 7. 9459–9469. 69 indexed citations
13.
Xia, Min, Teng Li, Tongxin Shu, et al.. (2018). A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks. IEEE Transactions on Industrial Informatics. 15(6). 3703–3711. 241 indexed citations breakdown →
14.
Yan, Hehua, Jiafu Wan, Chunhua Zhang, et al.. (2018). Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning. IEEE Access. 6. 17190–17197. 86 indexed citations
15.
Wan, Jiafu, Shenglong Tang, Qingsong Hua, et al.. (2017). Context-Aware Cloud Robotics for Material Handling in Cognitive Industrial Internet of Things. IEEE Internet of Things Journal. 5(4). 2272–2281. 124 indexed citations
16.
Liu, Qiang, Hao Zhang, Jiafu Wan, & Xin Chen. (2017). An Access Control Model for Resource Sharing Based on the Role-Based Access Control Intended for Multi-Domain Manufacturing Internet of Things. IEEE Access. 5. 7001–7011. 58 indexed citations
17.
Zhang, Qin, Yingfang Fan, Jiafu Wan, & Yanxia Liu. (2017). An Efficient and Clinical-Oriented 3D Liver Segmentation Method. IEEE Access. 5. 18737–18744. 13 indexed citations
18.
Liu, Qiang, Jiafu Wan, & Keliang Zhou. (2014). Cloud Manufacturing Service System for Industrial-Cluster-Oriented Application. 網際網路技術學刊. 15(3). 373–380. 36 indexed citations
19.
Shi, Jianhua, Jiafu Wan, Hehua Yan, & Hui Suo. (2011). A survey of Cyber-Physical Systems. 1–6. 387 indexed citations breakdown →
20.
Wan, Jiafu. (2010). Key Technology of Embedded System Implementation for Software-based CNC System. Chinese Journal of Mechanical Engineering. 23(2). 217–217. 15 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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