Junbo Tuo

444 total citations
18 papers, 341 citations indexed

About

Junbo Tuo is a scholar working on Industrial and Manufacturing Engineering, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Junbo Tuo has authored 18 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 9 papers in Renewable Energy, Sustainability and the Environment and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Junbo Tuo's work include Manufacturing Process and Optimization (10 papers), Energy Efficiency and Management (9 papers) and Advanced Machining and Optimization Techniques (6 papers). Junbo Tuo is often cited by papers focused on Manufacturing Process and Optimization (10 papers), Energy Efficiency and Management (9 papers) and Advanced Machining and Optimization Techniques (6 papers). Junbo Tuo collaborates with scholars based in China, Thailand and Sweden. Junbo Tuo's co-authors include Peiji Liu, Fei Liu, Wei Cai, Hua Zhang, Jun Xie, Weidong Cao, Congbo Li, Ying Tang, Chao Liu and Yanbin Du and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Expert Systems with Applications.

In The Last Decade

Junbo Tuo

17 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junbo Tuo China	13	213	173	120	88	68	18	341
Peiji Liu China	12	257 1.2×	192 1.1×	96 0.8×	106 1.2×	77 1.1×	26	379
Timo Schudeleit Switzerland	8	130 0.6×	177 1.0×	141 1.2×	51 0.6×	36 0.5×	17	388
Lirong Zhou China	8	362 1.7×	271 1.6×	227 1.9×	198 2.3×	80 1.2×	13	544
Lukáš Weiss Switzerland	10	111 0.5×	146 0.8×	141 1.2×	53 0.6×	19 0.3×	33	301
Oliver Avram Switzerland	6	239 1.1×	229 1.3×	148 1.2×	116 1.3×	29 0.4×	10	356
Anton Dietmair Germany	3	172 0.8×	162 0.9×	40 0.3×	45 0.5×	35 0.5×	5	252
Lishu Lv China	13	110 0.5×	190 1.1×	266 2.2×	136 1.5×	31 0.5×	25	426
Nitesh Sihag India	12	105 0.5×	104 0.6×	143 1.2×	118 1.3×	39 0.6×	13	334
André Zein Germany	7	212 1.0×	195 1.1×	113 0.9×	100 1.1×	30 0.4×	10	302
Athulan Vijayaraghavan United States	9	53 0.2×	164 0.9×	120 1.0×	61 0.7×	19 0.3×	21	318

Countries citing papers authored by Junbo Tuo

Since Specialization

Citations

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

Fields of papers citing papers by Junbo Tuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbo Tuo

This figure shows the co-authorship network connecting the top 25 collaborators of Junbo Tuo. A scholar is included among the top collaborators of Junbo Tuo 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 Junbo Tuo. Junbo Tuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Liu, Chao, Hao Ding, Juanjuan Zheng, et al.. (2025). Predictive modeling and multi-objective optimization of screw whirling milling based on ISSA-BP embedded NSGA-III algorithm. Expert Systems with Applications. 298. 129644–129644. 1 indexed citations

Liu, Chao, et al.. (2024). Multi-feature parallel prediction for the enhanced sparse data in laser processing based on an improved reinforced machine learning method. Advanced Engineering Informatics. 62. 102762–102762.

Wang, Lin-Lin, et al.. (2024). Implications of risk-averse manufacturer on coordination of green supply chain with mixed carbon policies. Asia Pacific Journal of Marketing and Logistics. 36(11). 3297–3316. 2 indexed citations

Liu, Chao, et al.. (2024). Numerical simulation of welding residual stresses in 6082-T6 thin aluminum alloy. Measurement. 234. 114800–114800. 12 indexed citations

Liu, Chao, et al.. (2023). A hybrid modeling method for predicting the cutting force in whirlwind milling of lead screw. Journal of Manufacturing Processes. 106. 265–287. 1 indexed citations

Liu, Chao, et al.. (2023). Surface roughness prediction in ball screw whirlwind milling considering elastic-plastic deformation caused by cutting force: Modelling and verification. Measurement. 220. 113365–113365. 18 indexed citations

Chen, Shan, et al.. (2023). Differential Strategies of Continuous Agri-Product Supply Chain Considering Consumer Perception of Eco-Quality. Axioms. 12(2). 158–158. 1 indexed citations

Liu, Peiji, Zhenyu Zhang, Xu Wang, et al.. (2021). A generalized method for the inherent energy performance modeling of machine tools. Journal of Manufacturing Systems. 61. 406–422. 14 indexed citations

Xie, Jun, Wei Cai, Yanbin Du, Ying Tang, & Junbo Tuo. (2021). Modelling approach for energy efficiency of machining system based on torque model and angular velocity. Journal of Cleaner Production. 293. 126249–126249. 16 indexed citations

10.

Tuo, Junbo, Peiji Liu, & Fei Liu. (2019). Dynamic Acquisition and Real-Time Distribution of Carbon Emission for Machining Through Mining Energy Data. IEEE Access. 7. 78963–78975. 12 indexed citations

11.

Liu, Peiji, et al.. (2018). A novel method for energy efficiency evaluation to support efficient machine tool selection. Journal of Cleaner Production. 191. 57–66. 32 indexed citations

12.

Tuo, Junbo. (2018). Connotation and Assessment Method for Inherent Energy Efficiency of Machine Tools. Journal of Mechanical Engineering. 54(7). 167–167. 12 indexed citations

13.

Tuo, Junbo, Fei Liu, Peiji Liu, Hua Zhang, & Wei Cai. (2018). Energy efficiency evaluation for machining systems through virtual part. Energy. 159. 172–183. 34 indexed citations

14.

Tuo, Junbo, Fei Liu, & Peiji Liu. (2018). Key performance indicators for assessing inherent energy performance of machine tools in industries. International Journal of Production Research. 57(6). 1811–1824. 20 indexed citations

15.

Cai, Wei, et al.. (2017). Energy benchmarking rules in machining systems. Energy. 142. 258–263. 33 indexed citations

16.

Cao, Weidong, et al.. (2017). A novel multi-objective optimization approach of machining parameters with small sample problem in gear hobbing. The International Journal of Advanced Manufacturing Technology. 93(9-12). 4099–4110. 27 indexed citations

17.

Cai, Wei, Fei Liu, Hua Zhang, Peiji Liu, & Junbo Tuo. (2017). Development of dynamic energy benchmark for mass production in machining systems for energy management and energy-efficiency improvement. Applied Energy. 202. 715–725. 62 indexed citations

18.

Cai, Wei, Fei Liu, Jun Xie, Peiji Liu, & Junbo Tuo. (2017). A tool for assessing the energy demand and efficiency of machining systems: Energy benchmarking. Energy. 138. 332–347. 44 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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