Dequn Li

3.2k total citations · 1 hit paper
91 papers, 2.5k citations indexed

About

Dequn Li is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Dequn Li has authored 91 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Mechanical Engineering, 22 papers in Industrial and Manufacturing Engineering and 20 papers in Automotive Engineering. Recurrent topics in Dequn Li's work include Injection Molding Process and Properties (39 papers), Advanced machining processes and optimization (23 papers) and Manufacturing Process and Optimization (22 papers). Dequn Li is often cited by papers focused on Injection Molding Process and Properties (39 papers), Advanced machining processes and optimization (23 papers) and Manufacturing Process and Optimization (22 papers). Dequn Li collaborates with scholars based in China, Maldives and Australia. Dequn Li's co-authors include Huamin Zhou, Yun Zhang, Huamin Zhou, Yisheng Zhang, Zhigao Huang, Yang Fu, Haiyu Qiao, Yunming Wang, Huang Gao and Ting Mao and has published in prestigious journals such as Advanced Materials, Journal of Power Sources and ACS Applied Materials & Interfaces.

In The Last Decade

Dequn Li

90 papers receiving 2.4k citations

Hit Papers

Advances on Thermally Conductive Epoxy‐Based Composites a... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dequn Li China 27 1.2k 621 538 422 411 91 2.5k
Zhenhua Xiong China 32 1.6k 1.4× 622 1.0× 581 1.1× 327 0.8× 543 1.3× 250 3.8k
Jian Gao China 25 929 0.8× 779 1.3× 127 0.2× 580 1.4× 769 1.9× 190 3.0k
Qinghui Wang China 25 889 0.8× 520 0.8× 62 0.1× 492 1.2× 299 0.7× 105 2.0k
Hongyi Xu United States 25 456 0.4× 223 0.4× 125 0.2× 121 0.3× 511 1.2× 101 2.1k
S. Hinduja United Kingdom 26 1.4k 1.2× 737 1.2× 85 0.2× 523 1.2× 689 1.7× 101 2.1k
Chengying Xu United States 26 743 0.6× 479 0.8× 202 0.4× 198 0.5× 723 1.8× 109 2.4k
Bin He China 26 452 0.4× 824 1.3× 84 0.2× 149 0.4× 358 0.9× 213 2.5k
Jianyong Li China 26 1.0k 0.9× 649 1.0× 206 0.4× 66 0.2× 465 1.1× 171 2.6k
Jürgen Fleischer Germany 30 1.8k 1.6× 807 1.3× 80 0.1× 1.0k 2.4× 875 2.1× 421 3.7k
Annika Raatz Germany 24 636 0.5× 748 1.2× 61 0.1× 315 0.7× 166 0.4× 161 1.9k

Countries citing papers authored by Dequn Li

Since Specialization
Citations

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

Fields of papers citing papers by Dequn Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dequn Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dequn Li. A scholar is included among the top collaborators of Dequn Li 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 Dequn Li. Dequn Li 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.
Xiong, Ruoyu, Mengyuan Zhou, Longhui Li, et al.. (2022). Decoupled measurement and modeling of interface reaction kinetics of ion-intercalation battery electrodes. Energy storage materials. 54. 836–844. 25 indexed citations
2.
Chen, Dan, Yunming Wang, Wei Wang, et al.. (2022). Limbal Bio‐Engineered Tissue Employing 3D Nanofiber‐Aerogel Scaffold to Facilitate LSCs Growth and Migration. Macromolecular Bioscience. 22(5). 3 indexed citations
3.
Qiao, Haiyu, Longhui Li, Xiaowei Zhou, et al.. (2022). Efficient preparation of all cellulose composite films using a plasticizing-rolling method. Composites Part A Applied Science and Manufacturing. 158. 106968–106968. 7 indexed citations
4.
Yu, Zhaohan, Ming Chen, Yunming Wang, et al.. (2021). Nanoporous PVDF Hollow Fiber Employed Piezo–Tribo Nanogenerator for Effective Acoustic Harvesting. ACS Applied Materials & Interfaces. 13(23). 26981–26988. 71 indexed citations
5.
Li, Mei, Yunming Wang, Zhaohan Yu, et al.. (2020). Self-Powered Infrared-Responsive Electronic Skin Employing Piezoelectric Nanofiber Nanocomposites Driven by Microphase Transition. ACS Applied Materials & Interfaces. 12(11). 13165–13173. 14 indexed citations
6.
Qiao, Haiyu, Longhui Li, Jun Wu, et al.. (2020). High-strength cellulose films obtained by the combined action of shear force and surface selective dissolution. Carbohydrate Polymers. 233. 115883–115883. 16 indexed citations
7.
Liu, Xiangyang, Fei Guo, Yun Zhang, et al.. (2019). An efficient coupled pressure–velocity solver for three-dimensional injection molding simulation using Schur complement preconditioned FGMRES. Engineering Computations. 36(4). 1101–1120. 3 indexed citations
8.
Hu, Sanyuan, Tao Chen, Huamin Zhou, et al.. (2018). Solution electrowriting of highly stable TiN nanofiber pattern for transparent electrode under extreme environment. Journal of the American Ceramic Society. 102(7). 3972–3979. 6 indexed citations
9.
Mao, Ting, et al.. (2018). Feature learning and process monitoring of injection molding using convolution-deconvolution auto encoders. Computers & Chemical Engineering. 118. 77–90. 21 indexed citations
10.
11.
Fu, Yang, Yun Zhang, Yuan Gao, et al.. (2017). Machining vibration states monitoring based on image representation using convolutional neural networks. Engineering Applications of Artificial Intelligence. 65. 240–251. 61 indexed citations
12.
Fu, Yang, Yun Zhang, Huamin Zhou, et al.. (2016). Timely online chatter detection in end milling process. Mechanical Systems and Signal Processing. 75. 668–688. 154 indexed citations
13.
Zhang, Yun, Huamin Zhou, Jianhui Li, Wei Feng, & Dequn Li. (2011). A 3‐node flat triangular shell element with corner drilling freedoms and transverse shear correction. International Journal for Numerical Methods in Engineering. 86(12). 1413–1434. 9 indexed citations
14.
Yan, Bo, Yang Li, Xiao Kong, Peng Zhao, & Dequn Li. (2011). THREE DIMENSIONAL NUMERICAL SIMULATION OF POLYMER CRYSTALLIZATION DURING PLASTIC INJECTION MOLDING. Acta Polymerica Sinica. 11(2). 173–179. 3 indexed citations
15.
Zhao, Peng, Huamin Zhou, Yang Li, & Dequn Li. (2009). Process parameters optimization of injection molding using a fast strip analysis as a surrogate model. The International Journal of Advanced Manufacturing Technology. 49(9-12). 949–959. 50 indexed citations
16.
Zhou, Huamin, et al.. (2007). Modeling and simulation of residual stresses during glass bulb pressing process. Science in China. Series E, Technological sciences. 50(1). 103–117. 6 indexed citations
17.
Li, Jiquan, et al.. (2007). Single gate optimization for plastic injection mold. Journal of Zhejiang University. Science A. 8(7). 1077–1083. 14 indexed citations
18.
Zhou, Huamin, et al.. (2006). Modeling and Simulation of Shrinkage During the Picture Tube Panel Forming Process. Journal of Manufacturing Science and Engineering. 129(2). 380–387. 5 indexed citations
19.
Zhou, Huamin & Dequn Li. (2005). Numerical Molding Simulation for Rapid-Prototyped Injection Molds. Polymer-Plastics Technology and Engineering. 44(4). 755–770. 1 indexed citations
20.
Zhou, Huamin, Tie Geng, & Dequn Li. (2005). Deformation simulation of the panel mold in the pressing process. Engineering Analysis with Boundary Elements. 29(9). 894–902. 8 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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