Conghu Liu

3.3k total citations
108 papers, 2.4k citations indexed

About

Conghu Liu is a scholar working on Industrial and Manufacturing Engineering, Strategy and Management and Environmental Engineering. According to data from OpenAlex, Conghu Liu has authored 108 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Industrial and Manufacturing Engineering, 39 papers in Strategy and Management and 30 papers in Environmental Engineering. Recurrent topics in Conghu Liu's work include Sustainable Supply Chain Management (39 papers), Environmental Impact and Sustainability (26 papers) and Manufacturing Process and Optimization (25 papers). Conghu Liu is often cited by papers focused on Sustainable Supply Chain Management (39 papers), Environmental Impact and Sustainability (26 papers) and Manufacturing Process and Optimization (25 papers). Conghu Liu collaborates with scholars based in China, Hong Kong and Philippines. Conghu Liu's co-authors include Wei Cai, Minda Ma, Zhigang Jiang, Mingzhou Liu, Shun Jia, Cuixia Zhang, Mengdi Gao, Fangfang Wei, Kee‐hung Lai and Xiaoqiao Wang and has published in prestigious journals such as The Science of The Total Environment, Applied Catalysis B: Environmental and Journal of Cleaner Production.

In The Last Decade

Conghu Liu

102 papers receiving 2.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Conghu Liu 632 619 582 461 410 108 2.4k
Kathleen B. Aviso 762 1.2× 480 0.8× 850 1.5× 353 0.8× 431 1.1× 235 4.1k
Mingzhou Jin 1.2k 1.8× 1.0k 1.7× 290 0.5× 283 0.6× 376 0.9× 137 3.8k
Zhigang Jiang 857 1.4× 872 1.4× 332 0.6× 153 0.3× 343 0.8× 123 2.6k
Zdravko Kravanja 597 0.9× 348 0.6× 855 1.5× 192 0.4× 518 1.3× 213 6.0k
Jo�ão Matias 1.0k 1.6× 563 0.9× 321 0.6× 156 0.3× 251 0.6× 171 4.4k
Laureano Jiménez 613 1.0× 212 0.3× 985 1.7× 274 0.6× 706 1.7× 144 4.7k
Denny K. S. Ng 653 1.0× 473 0.8× 659 1.1× 125 0.3× 384 0.9× 221 5.3k
Otto Rentz 976 1.5× 416 0.7× 271 0.5× 225 0.5× 222 0.5× 147 2.5k
Lidija Čuček 488 0.8× 147 0.2× 833 1.4× 215 0.5× 440 1.1× 102 3.4k
Gökhan Eğilmez 525 0.8× 313 0.5× 1.0k 1.7× 549 1.2× 368 0.9× 64 2.5k

Countries citing papers authored by Conghu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Conghu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conghu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Conghu Liu. A scholar is included among the top collaborators of Conghu Liu 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 Conghu Liu. Conghu Liu 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.
Liu, Mingzhou, et al.. (2025). EFJSP-IBDR: Energy-efficient flexible job shop scheduling under incentive-based demand response via graph reinforcement learning with dual attention mechanism. Expert Systems with Applications. 280. 127340–127340. 1 indexed citations
2.
Wu, Xue, et al.. (2024). Carbon emissions in the logistics industry: driving factors and decoupling effects. Environmental Science and Pollution Research. 31(17). 25721–25735. 2 indexed citations
3.
Liu, Mingzhou, et al.. (2024). DSN-BR-Based Online Inspection Method and Application for Surface Defects of Pharmaceutical Products in Aluminum-Plastic Blister Packages. Chinese Journal of Mechanical Engineering. 37(1). 1 indexed citations
4.
Li, Yanting, et al.. (2024). Measurement and Evaluation of Carbon EmissionEfficiency in Logistics Industry– Taking Anhui Province as an Example. Polish Journal of Environmental Studies. 1 indexed citations
5.
Zhang, Cuixia, Conghu Liu, Guangdong Tian, et al.. (2024). Integration of lean production and low-carbon optimization in remanufacturing assembly. Advanced Engineering Informatics. 62. 102789–102789. 2 indexed citations
6.
Peng, Shitong, Tao Li, Fengtao Wang, et al.. (2024). Integration of improved meta-heuristic and machine learning for optimizing energy efficiency in additive manufacturing process. Energy. 306. 132518–132518. 6 indexed citations
7.
Liu, Conghu, et al.. (2024). Carbon tax vs. carbon trading in China: which is better for promoting sustainable development of remanufacturing companies?. Environmental Science and Pollution Research. 31(11). 16710–16724. 1 indexed citations
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10.
Liu, Conghu, Wei Cai, Cuixia Zhang, & Fangfang Wei. (2023). Data-driven intelligent control system in remanufacturing assembly for production and resource efficiency. The International Journal of Advanced Manufacturing Technology. 128(7-8). 3531–3544. 11 indexed citations
11.
Wang, Xiaoqiao, et al.. (2023). Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing. Expert Systems with Applications. 234. 121136–121136. 68 indexed citations
12.
Gao, Mengdi, et al.. (2023). Emergy-based method for the sustainability assessment and improvement of additive manufacturing systems. Energy. 290. 130115–130115. 5 indexed citations
13.
Wu, Xue, et al.. (2023). Data-Driven Evaluation of Regional Innovation Capability. Journal of Global Information Management. 31(4). 1–22. 5 indexed citations
14.
Wang, Wenbin, et al.. (2023). Effects of the carbon emission quota policy on the quality and sales of manufactured and remanufactured products. International Journal of Production Economics. 266. 109058–109058. 24 indexed citations
15.
Chen, Shuai, et al.. (2023). The Effect of Laser Surface Remelting on the Surface Properties of Copper. Coatings. 14(1). 60–60. 2 indexed citations
16.
Liu, Conghu, et al.. (2022). Impact of Carbon Tax and Subsidy Policies on Original Equipment Manufacturers and Remanufacturing Companies from the Perspective of Carbon Emissions. International Journal of Environmental Research and Public Health. 19(10). 6252–6252. 7 indexed citations
17.
Cai, Wei, Conghu Liu, Kee‐hung Lai, et al.. (2019). Energy performance certification in mechanical manufacturing industry: A review and analysis. Energy Conversion and Management. 186. 415–432. 88 indexed citations
18.
He, Kang, et al.. (2018). Dynamic Bayesian Network-Based Approach by Integrating Sensor Deployment for Machining Process Monitoring. IEEE Access. 6. 33362–33375. 8 indexed citations
19.
He, Kang, Minping Jia, & Conghu Liu. (2018). A Review of Optimal Sensor Deployment to Diagnose Manufacturing Systems. IEEE Access. 6. 27418–27432. 5 indexed citations
20.
Zhang, Cuixia, et al.. (2015). Carbon footprint monitoring and early-warning method for machine shop and its key technologies. 21(10). 2677–2686. 2 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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