Dequan Li

2.3k total citations
146 papers, 1.8k citations indexed

About

Dequan Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Dequan Li has authored 146 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 26 papers in Electrical and Electronic Engineering and 25 papers in Materials Chemistry. Recurrent topics in Dequan Li's work include Distributed Control Multi-Agent Systems (24 papers), Neural Networks Stability and Synchronization (15 papers) and Electrocatalysts for Energy Conversion (10 papers). Dequan Li is often cited by papers focused on Distributed Control Multi-Agent Systems (24 papers), Neural Networks Stability and Synchronization (15 papers) and Electrocatalysts for Energy Conversion (10 papers). Dequan Li collaborates with scholars based in China, United States and Germany. Dequan Li's co-authors include Basil I. Swanson, Min Ma, Jeanne M. Robinson, Mark A. Hoffbauer, D. McBranch, Xiaofan Wang, M. R. Fitzsimmons, C. Thomas Buscher, Lin Pan and Qingju Liu and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and The Journal of Chemical Physics.

In The Last Decade

Dequan Li

129 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dequan Li China 25 601 592 325 294 291 146 1.8k
Zhengping Zhang China 22 899 1.5× 719 1.2× 98 0.3× 276 0.9× 240 0.8× 164 2.2k
Yuzhen Liu China 30 874 1.5× 1.6k 2.7× 167 0.5× 341 1.2× 448 1.5× 165 3.0k
Yafang Zhang China 25 649 1.1× 525 0.9× 34 0.1× 394 1.3× 292 1.0× 86 1.7k
An Chen China 22 1.4k 2.3× 758 1.3× 73 0.2× 265 0.9× 317 1.1× 80 2.4k
Liping Zhang China 21 952 1.6× 664 1.1× 68 0.2× 182 0.6× 199 0.7× 101 1.5k
Masahito Sano Japan 29 537 0.9× 1.6k 2.7× 200 0.6× 77 0.3× 647 2.2× 148 3.7k
Narendra Singh India 25 403 0.7× 909 1.5× 29 0.1× 542 1.8× 371 1.3× 64 2.2k
Xia Sheng China 25 1.6k 2.6× 1.2k 2.1× 82 0.3× 918 3.1× 227 0.8× 90 2.7k
Shibing Wang China 19 185 0.3× 548 0.9× 97 0.3× 58 0.2× 63 0.2× 54 1.1k

Countries citing papers authored by Dequan Li

Since Specialization
Citations

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

Fields of papers citing papers by Dequan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dequan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dequan Li. A scholar is included among the top collaborators of Dequan 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 Dequan Li. Dequan 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.
Li, Dequan, et al.. (2025). Significance extraction based on data augmentation for reinforcement learning. Frontiers of Information Technology & Electronic Engineering. 26(3). 385–399.
2.
Li, Dequan, et al.. (2024). Enhancing brain MRI data visualization accuracy with UNET and FPN networks. Biomedical Signal Processing and Control. 96. 106418–106418. 2 indexed citations
3.
Chen, Mingpeng, Huachuan Sun, Qingjie Lu, et al.. (2024). Shining light on atomic vacancies in electrocatalysts for boosted water splitting. Chemical Engineering Journal. 497. 154235–154235. 10 indexed citations
4.
Chen, Mingpeng, Huachuan Sun, Tong Zhou, et al.. (2024). Modulating the synergy of Pt single atoms and quantum dots on NiFe LDH for efficient and robust hydrogen evolution. Journal of Material Science and Technology. 215. 111–120. 43 indexed citations
5.
Li, Bo, Hongshun Zheng, Tong Zhou, et al.. (2024). Revealing the synergistic effect of bulk and surface co-doped boron on TiO2 for enhanced photocatalytic H2 evolution. Chemical Engineering Journal. 497. 154726–154726. 13 indexed citations
6.
Fan, Xing, et al.. (2024). Catalytic removal of chemical oxygen demand during ozonation of the simulated wastewater from coal chemical industry. Journal of Water Process Engineering. 64. 105542–105542. 7 indexed citations
7.
Fan, Ding, et al.. (2024). Numerical analysis of arc-droplet-pool coupling behavior in magnetically controlled high current MIG welding. Journal of Manufacturing Processes. 126. 402–412. 7 indexed citations
8.
Chen, Mingpeng, Huachuan Sun, Dequan Li, et al.. (2024). Manipulating anion intercalation into layered double hydroxide for alkaline seawater oxidation at high current density. Catalysis Science & Technology. 14(18). 5206–5210. 5 indexed citations
9.
Li, Dequan, et al.. (2024). Numerical analysis on heat transfer performance of spiral elastic copper tube heat exchanger with helical defectors. Applied Thermal Engineering. 248. 123298–123298. 4 indexed citations
10.
Li, Dequan, et al.. (2024). Numerical study of structural parameters of perforated baffle on heat transfer enhancement in coiled elastic copper tube heat exchanger. Applied Thermal Engineering. 260. 124993–124993. 5 indexed citations
11.
Wu, Peng & Dequan Li. (2023). A new non-convex sparse optimization method for image restoration. Signal Image and Video Processing. 17(7). 3829–3836. 2 indexed citations
12.
Li, Dequan, et al.. (2022). A fast adaptive algorithm for training deep neural networks. Applied Intelligence. 53(4). 4099–4108. 11 indexed citations
13.
Li, Dequan, et al.. (2022). A Fast Adaptive Online Gradient Descent Algorithm in Over-Parameterized Neural Networks. Neural Processing Letters. 55(4). 4641–4659. 2 indexed citations
14.
Li, Dequan, et al.. (2022). Distributed online adaptive subgradient optimization with dynamic bound of learning rate over time‐varying networks. IET Control Theory and Applications. 16(18). 1834–1846. 1 indexed citations
15.
Li, Dequan, et al.. (2021). An accelerated distributed online gradient push‐sum algorithm on time‐varying directed networks. Asian Journal of Control. 24(6). 3278–3288. 2 indexed citations
16.
Li, Dequan, et al.. (2020). Distributed adaptive online learning for convex optimization with weight decay. Asian Journal of Control. 24(2). 562–575. 4 indexed citations
17.
Yan, Shilin, Fei Yan, Dequan Li, & Yongjing Li. (2015). Unsaturated flow characteristics in dual-scale fibre fabrics at one-dimensional constant flow rate. Science and Engineering of Composite Materials. 23(6). 617–624. 1 indexed citations
18.
Liu, Jun, Dequan Li, & Zhixiang Yin. (2013). Distributed subgradient method for multi-agent optimization with communication delays. Chinese Control Conference. 6762–6767. 1 indexed citations
19.
Li, Dequan. (2009). Some conceptions of optimization for ideological and political education of undergraduates. The Journal of Higher Education.
20.
Li, Dequan. (2008). The Deviation Methods of FLP. Mohu xitong yu shuxue. 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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