Longfei Zhou

2.5k total citations · 2 hit papers
34 papers, 1.6k citations indexed

About

Longfei Zhou is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Management of Technology and Innovation. According to data from OpenAlex, Longfei Zhou has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Industrial and Manufacturing Engineering, 5 papers in Automotive Engineering and 4 papers in Management of Technology and Innovation. Recurrent topics in Longfei Zhou's work include Digital Transformation in Industry (19 papers), Scheduling and Optimization Algorithms (9 papers) and Manufacturing Process and Optimization (8 papers). Longfei Zhou is often cited by papers focused on Digital Transformation in Industry (19 papers), Scheduling and Optimization Algorithms (9 papers) and Manufacturing Process and Optimization (8 papers). Longfei Zhou collaborates with scholars based in China, United States and Sweden. Longfei Zhou's co-authors include Zhang Li, Lei Ren, Berthold K. P. Horn, Yuanjun Laili, Yuan Yang, M. Jamal Deen, Zhibo Pang, Ying Liu, Rong Liu and Lin Zhang and has published in prestigious journals such as Radiology, IEEE Access and Sensors.

In The Last Decade

Longfei Zhou

33 papers receiving 1.5k citations

Hit Papers

A Novel Cloud-Based Framework for the Elderly Healthcare ... 2019 2026 2021 2023 2019 2024 100 200 300 400
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.

  1. A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin
    2019 468 citations Ying Liu, Lin Zhang et al. IEEE Access profile →
  2. Additive Manufacturing: A Comprehensive Review
    2024 152 citations Longfei Zhou, Jenna Miller et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Longfei Zhou China 15 991 198 191 169 146 34 1.6k
Reiner Anderl Germany 21 1.3k 1.3× 158 0.8× 158 0.8× 184 1.1× 95 0.7× 190 1.9k
Edward H. Glaessgen United States 9 1.0k 1.0× 144 0.7× 133 0.7× 122 0.7× 93 0.6× 36 1.7k
Cunbo Zhuang China 14 1.3k 1.3× 100 0.5× 94 0.5× 130 0.8× 73 0.5× 44 1.7k
Matthias Karner Austria 4 1.5k 1.5× 98 0.5× 123 0.6× 155 0.9× 115 0.8× 5 1.9k
Jan Henjes Germany 6 1.5k 1.6× 97 0.5× 122 0.6× 154 0.9× 126 0.9× 11 1.9k
Kosmas Alexopoulos Greece 22 1.1k 1.1× 126 0.6× 65 0.3× 97 0.6× 80 0.5× 75 1.7k
Elisa Negri Italy 20 2.4k 2.4× 145 0.7× 186 1.0× 205 1.2× 116 0.8× 51 2.9k
Jason Yon United Kingdom 12 847 0.9× 119 0.6× 141 0.7× 111 0.7× 88 0.6× 33 1.8k

Countries citing papers authored by Longfei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Longfei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longfei Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Longfei Zhou. A scholar is included among the top collaborators of Longfei Zhou 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 Longfei Zhou. Longfei Zhou 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.
Zhou, Yiming, Jun Jiang, Qiyun Shi, et al.. (2025). GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling. Sensors. 25(21). 6736–6736. 1 indexed citations
2.
Zhou, Longfei, et al.. (2024). Additive Manufacturing: A Comprehensive Review. Sensors. 24(9). 2668–2668. 152 indexed citations breakdown →
3.
Zhou, Longfei, et al.. (2023). MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum. Radiology. 309(1). e222441–e222441. 12 indexed citations
4.
Yang, Yuan, Zhang Li, Lei Ren, Longfei Zhou, & Xiaohan Wang. (2023). SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT images. Biomedical Signal Processing and Control. 85. 104896–104896. 8 indexed citations
5.
6.
He, Fan, Longfei Zhou, Siyu Wu, et al.. (2022). A Novel Adaptive Signal Timing Control Approach for Signalized Intersections. 1–5. 1 indexed citations
7.
8.
Zhou, Longfei, Zhang Li, & Nicholas Konz. (2022). Computer Vision Techniques in Manufacturing. IEEE Transactions on Systems Man and Cybernetics Systems. 53(1). 105–117. 99 indexed citations
9.
Zhou, Neng, et al.. (2022). Review of Deep Learning Models for Spine Segmentation. 498–507. 2 indexed citations
10.
Zhou, Longfei, Zhang Li, & Yajun Fang. (2021). Comparison of Production-Triggering Strategies for Manufacturing Enterprises under Random Orders. Engineering. 7(6). 798–806. 4 indexed citations
11.
Zhou, Longfei, et al.. (2021). Comparing Roundabouts and Signalized Intersections Through Multiple- Model Simulation. IEEE Transactions on Intelligent Transportation Systems. 23(7). 7931–7940. 13 indexed citations
12.
Zhou, Longfei, Zhang Li, & Berthold K. P. Horn. (2020). Collaborative optimization for logistics and processing services in cloud manufacturing. Robotics and Computer-Integrated Manufacturing. 68. 102094–102094. 33 indexed citations
13.
14.
Liu, Ying, Lin Zhang, Yuan Yang, et al.. (2019). A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin. IEEE Access. 7. 49088–49101. 468 indexed citations breakdown →
15.
Zhou, Longfei, Zhang Li, & Lei Ren. (2018). Simulation of Production Modes for Cloud Manufacturing Enterprises. 1–5. 7 indexed citations
16.
Zhou, Longfei, et al.. (2018). Design, manufacturing and recycling in product lifecycle: New challenges and trends. 1–6. 2 indexed citations
17.
Zhou, Longfei, Zhang Li, & Lei Ren. (2018). Simulation Model of Dynamic Service Scheduling in Cloud Manufacturing. 4199–4204. 5 indexed citations
18.
Zhou, Longfei, Zhang Li, Bhaba R. Sarker, Yuanjun Laili, & Lei Ren. (2017). An event-triggered dynamic scheduling method for randomly arriving tasks in cloud manufacturing. International Journal of Computer Integrated Manufacturing. 31(3). 318–333. 77 indexed citations
19.
Zhou, Longfei, Zhang Li, & Lei Ren. (2017). An Individual Requirements-Oriented Service Scheduling Method in Cloud Manufacturing. 1 indexed citations
20.
Zhou, Longfei, Zhang Li, Lei Ren, & Yuanjun Laili. (2017). Matching and selection of distributed 3D printing services in cloud manufacturing. IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 4728–4733. 14 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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