Minglun Fang

492 citations
49 papers · 329 indexed · h-index 8

Minglun Fang

43 papers receiving 309 citations

Peers

Minglun Fang
Comparison fields: 5 of 80
  • Industrial and Manufacturing Engineering 59
  • Mechanical Engineering 130
  • Automotive Engineering 33
  • Biomedical Engineering 90
  • Statistics, Probability and Uncertainty 14
Replace Lenka Čepová with:
Lenka Čepová Czechia
Chong Peng China
Xiaoliang Jia China
Fabrício José Pontes Brazil
Hongwei Xu China
Ilya Tyapin Norway
Heinz P. Bloch
Emre Demirci Türkiye
Xiaobang Wang China
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Citations per field
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Lenka Čepová · 1×
Citations per year

Countries citing papers authored by Minglun Fang

Since Specialization
Citations

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

Fields of papers citing papers by Minglun Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Minglun Fang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minglun Fang Line = papers co-authored together Minglun Fang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20198
2 20102
3 20091
4 20096
5 200912
6 20097
7
Effects of laser processing parameters on sintering depth of polymer-coated stainless steel powder
20071
8 2007192
9
Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management: Proceedings of PROLAMAT 2006, IFIP TC5, International Conference, ... Federation for Information Processing)
20064
10
The Encapsulation and Application of Workflow System in Manufacturing Grid
20061
11 20062
12 20061
13 20061
14
Research on optimization utilization of resource during development process of complicated product
20051
15 20053
16 20051
17
Research on Resource Management and Scheduling System in Manufacturing Grid
20043
18
Remote Service and Fault Diagnosis Based on Data Mining
20031
19 20032
20 20023

About Minglun Fang

Minglun Fang is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Orthodontics, having authored 49 papers that have together received 329 indexed citations. Recurring topics across this work include Industrial Technology and Control Systems (12 papers), Manufacturing Process and Optimization (8 papers), Bone Tissue Engineering Materials (7 papers), Advanced Sensor and Control Systems (5 papers), Advanced machining processes and optimization (4 papers), Advanced Measurement and Metrology Techniques (4 papers), Distributed and Parallel Computing Systems (4 papers) and Hydraulic and Pneumatic Systems (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (59 citations), Mechanical Engineering (130 citations) and Automotive Engineering (33 citations). Minglun Fang has collaborated with scholars based in China, Greece and Norway. Frequent co-authors include Tao Yu, Kesheng Wang, Jin Yuan, Yongyi He, Qingxi Hu, Shuai Guo, Pengfei Cheng, Zhikun Wang, Han Hu and Liping Zhou. Their work appears in journals such as IEEE Access, International Journal of Machine Tools and Manufacture and Journal of Manufacturing Systems.

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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