Changbai Tan

437 total citations
22 papers, 334 citations indexed

About

Changbai Tan is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Management of Technology and Innovation. According to data from OpenAlex, Changbai Tan has authored 22 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 10 papers in Mechanical Engineering and 7 papers in Management of Technology and Innovation. Recurrent topics in Changbai Tan's work include Manufacturing Process and Optimization (9 papers), Product Development and Customization (7 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). Changbai Tan is often cited by papers focused on Manufacturing Process and Optimization (9 papers), Product Development and Customization (7 papers) and Additive Manufacturing and 3D Printing Technologies (5 papers). Changbai Tan collaborates with scholars based in United States, China and Hong Kong. Changbai Tan's co-authors include Laishui Zhou, Jun Wang, Dongxiao Gu, Kira Barton, S. Jack Hu, Theodor Freiheit, Haseung Chung, Mihaela Banu, Zhiguo Wang and S. Jack Hu and has published in prestigious journals such as Journal of Materials Processing Technology, International Journal of Production Research and International Journal of Machine Tools and Manufacture.

In The Last Decade

Changbai Tan

20 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changbai Tan United States 12 146 113 65 60 52 22 334
Borhen Louhichi Tunisia 12 258 1.8× 128 1.1× 63 1.0× 106 1.8× 47 0.9× 60 416
Derek Yip‐Hoi United States 10 300 2.1× 140 1.2× 45 0.7× 121 2.0× 45 0.9× 47 386
Shuming Gao China 10 131 0.9× 58 0.5× 15 0.2× 109 1.8× 63 1.2× 39 277
Soonjo Kwon South Korea 11 215 1.5× 58 0.5× 14 0.2× 106 1.8× 42 0.8× 42 346
David C. Anderson United States 12 226 1.5× 91 0.8× 23 0.4× 130 2.2× 57 1.1× 23 434
Xiang Pan China 9 46 0.3× 68 0.6× 12 0.2× 56 0.9× 136 2.6× 32 313
Dianliang Wu China 9 176 1.2× 68 0.6× 25 0.4× 36 0.6× 38 0.7× 32 279
Soyoung Yoo South Korea 6 97 0.7× 79 0.7× 11 0.2× 31 0.5× 11 0.2× 9 279
Sang-Uk Cheon South Korea 12 293 2.0× 145 1.3× 18 0.3× 88 1.5× 48 0.9× 27 400
Bernhard Bettig United States 11 129 0.9× 106 0.9× 48 0.7× 45 0.8× 11 0.2× 25 311

Countries citing papers authored by Changbai Tan

Since Specialization
Citations

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

Fields of papers citing papers by Changbai Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changbai Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Changbai Tan. A scholar is included among the top collaborators of Changbai Tan 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 Changbai Tan. Changbai Tan 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.
Lee, Kyu‐Bok, Teresa J. Rinker, Changbai Tan, et al.. (2025). Unveiling the correlation between weld structure and fracture modes in laser welding of aluminum and copper using data-driven methods. Journal of Materials Processing Technology. 338. 118752–118752. 4 indexed citations
2.
Lee, Kyu‐Bok, Zhixian Yu, Peihao Geng, et al.. (2025). Derivation of physical equations for high-speed laser welding using large language models. International Journal of Machine Tools and Manufacture. 211. 104320–104320. 3 indexed citations
3.
Tan, Changbai, et al.. (2025). Machine learning-enhanced digital twins for predictive analytics in battery pack assembly. Journal of Manufacturing Systems. 80. 344–355.
4.
Lee, Kyu‐Bok, et al.. (2024). Data-driven investigation of pore formation mechanisms in laser welding of Al-Cu. Journal of Manufacturing Processes. 124. 998–1009. 8 indexed citations
5.
Tan, Changbai, et al.. (2023). Data-driven battery electrode production process modeling enabled by machine learning. Journal of Materials Processing Technology. 316. 117967–117967. 12 indexed citations
6.
Tan, Changbai, Kira Barton, S. Jack Hu, & Theodor Freiheit. (2021). Integrating optimal process and supplier selection in personalised product architecture design. International Journal of Production Research. 60(8). 2461–2480. 13 indexed citations
7.
Tan, Changbai, Haseung Chung, Kira Barton, S. Jack Hu, & Theodor Freiheit. (2020). Incorporating customer personalization preferences in open product architecture design. Journal of Manufacturing Systems. 56. 72–83. 39 indexed citations
8.
9.
Tan, Changbai, Wei Zhang, & Zhiguo Wang. (2019). Dimensional Variation Modeling of Aircraft Compliant Part Assembly Considering Clamping Force Change. Transaction of Nanjing University of Aeronautics and Astronautics. 36(2). 298–305. 1 indexed citations
10.
Wang, Zhiguo, et al.. (2019). Assembly Variation Analysis of Aircraft Panels under Part-to-part Locating Scheme. International Journal of Aerospace Engineering. 2019. 1–15. 16 indexed citations
11.
Li, Yang, Tae Wha Lee, Chun Wang, et al.. (2018). An artificial neural network model for predicting joint performance in ultrasonic welding of composites. Procedia CIRP. 76. 85–88. 25 indexed citations
12.
Tan, Changbai, et al.. (2018). Joint optimization of preventive maintenance and flexible flowshop sequence-dependent group scheduling considering multiple setups. Engineering Optimization. 51(9). 1529–1546. 23 indexed citations
13.
Wang, Zhiguo, et al.. (2018). Tolerance Analysis of Over-Constrained Assembly Considering Gravity Influence: Constraints of Multiple Planar Hole-Pin-Hole Pairs. Mathematical Problems in Engineering. 2018. 1–18. 4 indexed citations
14.
Tan, Changbai, S. Jack Hu, Haseung Chung, et al.. (2017). Product personalization enabled by assembly architecture and cyber physical systems. CIRP Annals. 66(1). 33–36. 32 indexed citations
15.
Wang, Jun, Zeyun Yu, Weizhong Zhang, et al.. (2014). Robust reconstruction of 2D curves from scattered noisy point data. Computer-Aided Design. 50. 27–40. 20 indexed citations
16.
Tan, Changbai, et al.. (2013). Intuitionistic fuzzy manufacture knowledge-driven robust tolerance design. Beijing Hangkong Hangtian Daxue xuebao. 39(8). 1004.
17.
Wang, Jun, et al.. (2013). Feature-Based Solid Model Reconstruction. Journal of Computing and Information Science in Engineering. 13(1). 14 indexed citations
18.
Tan, Changbai, et al.. (2011). Research on Assembly Quality Evaluation for Aircraft Product Based on Monte-Carlo Simulation. Advanced Science Letters. 4(6). 2352–2355. 3 indexed citations
19.
Zhou, Laishui, et al.. (2009). A system for supporting rapid assembly modeling of mechanical products via components with typical assembly features. The International Journal of Advanced Manufacturing Technology. 46(5-8). 785–800. 16 indexed citations
20.
Zhou, Laishui, et al.. (2009). A Methodology for Rapid Assembly Modeling of Components with Typical Assembly Feature. 37. 179–183. 1 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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2026