Haochen Mu
Impact in
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- Manufacturing Process and Optimization
- Industrial Vision Systems and Defect Detection
- Digital Transformation in Industry
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
Papers in
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- Additive Manufacturing Materials and Processes 15
- Welding Techniques and Residual Stresses 12
- Injection Molding Process and Properties 1
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- Additive Manufacturing and 3D Printing Technologies 9
- Co-authors
- Fengyang He (14 shared papers)Zengxi Pan (14 shared papers)Lei Yuan (11 shared papers)Huijun Li (5 shared papers)Donghong Ding (6 shared papers)Montserrat Ros (3 shared papers)Yuxing Li (3 shared papers)Joseph Polden (3 shared papers)
In The Last Decade
Haochen Mu
14 papers receiving 321 citations
Peers
Comparison fields: 5 of 41
- Industrial and Manufacturing Engineering 151
- Automotive Engineering 164
- Mechanical Engineering 254
- Health Informatics 2
- Metals and Alloys 3
Countries citing papers authored by Haochen Mu
This map shows the geographic impact of Haochen Mu'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 Haochen Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haochen Mu more than expected).
Fields of papers citing papers by Haochen Mu
This network shows the impact of papers produced by Haochen Mu. 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 Haochen Mu. The network helps show where Haochen Mu may publish in the future.
Co-authors
The 21 scholars most cited alongside Haochen Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 85 | |
| 2 | 2023 | 71 | |
| 3 | 2021 | 66 | |
| 4 | 2024 | 42 | |
| 5 | 2022 | 35 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2024 | 6 | |
| 10 | 2025 | 4 | |
| 11 | 2025 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Haochen Mu
Haochen Mu is a scholar working on Mechanical Engineering, Automotive Engineering, Industrial and Manufacturing Engineering, Computer Networks and Communications and Materials Chemistry, having authored 16 papers that have together received 342 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (15 papers), Welding Techniques and Residual Stresses (12 papers), Additive Manufacturing and 3D Printing Technologies (9 papers), Industrial Vision Systems and Defect Detection (3 papers), Manufacturing Process and Optimization (3 papers), Advanced Data Storage Technologies (1 paper), Digital Transformation in Industry (1 paper) and Injection Molding Process and Properties (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (151 citations), Automotive Engineering (164 citations), Mechanical Engineering (254 citations), Health Informatics (2 citations) and Metals and Alloys (3 citations). Haochen Mu has collaborated with scholars based in Australia, China and Japan. Frequent co-authors include Fengyang He, Zengxi Pan, Lei Yuan, Huijun Li, Donghong Ding, Montserrat Ros, Yuxing Li, Joseph Polden, Chunyang Xia and Junyi Cui. Their work appears in journals such as Journal of Industrial Information Integration, Journal of Manufacturing Processes, Journal of Manufacturing Systems, Journal of Intelligent Manufacturing and Robotics and Computer-Integrated Manufacturing.
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.