Deguang Li

1.1k total citations · 1 hit paper
61 papers, 679 citations indexed

About

Deguang Li is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Deguang Li has authored 61 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Networks and Communications and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Deguang Li's work include Green IT and Sustainability (7 papers), Advanced Neural Network Applications (7 papers) and Cloud Computing and Resource Management (5 papers). Deguang Li is often cited by papers focused on Green IT and Sustainability (7 papers), Advanced Neural Network Applications (7 papers) and Cloud Computing and Resource Management (5 papers). Deguang Li collaborates with scholars based in China, Bangladesh and Czechia. Deguang Li's co-authors include Yongsong Cao, Yongxin Zhang, Pingliang Li, Jiaquan Shen, Ningzhong Liu, Han Sun, Shun He, Jianqiang Li, Wenbing Zhang and Guanglong Ding and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

Deguang Li

56 papers receiving 663 citations

Hit Papers

An algorithm based on lig... 2025 2026 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deguang Li China 14 148 144 121 80 73 61 679
Shan Zhou China 15 104 0.7× 58 0.4× 115 1.0× 43 0.5× 56 0.8× 43 782
Vishal Verma India 14 84 0.6× 121 0.8× 213 1.8× 41 0.5× 25 0.3× 49 761
Lingzhi Liu China 17 59 0.4× 213 1.5× 172 1.4× 99 1.2× 148 2.0× 56 780
Shaobo Deng China 13 333 2.3× 40 0.3× 147 1.2× 58 0.7× 44 0.6× 45 1.1k
Jiahui Li China 19 72 0.5× 136 0.9× 290 2.4× 70 0.9× 20 0.3× 97 1.2k
Ayush Sharma India 12 123 0.8× 50 0.3× 60 0.5× 21 0.3× 26 0.4× 49 585
Binqiang Wang China 18 84 0.6× 315 2.2× 97 0.8× 200 2.5× 108 1.5× 105 1.1k
Yuanqiang Liu China 14 59 0.4× 91 0.6× 63 0.5× 44 0.6× 24 0.3× 26 597
Xiaqing Li China 16 113 0.8× 60 0.4× 119 1.0× 30 0.4× 22 0.3× 68 914
Xiangjun Zhao China 17 307 2.1× 137 1.0× 220 1.8× 21 0.3× 48 0.7× 60 1.4k

Countries citing papers authored by Deguang Li

Since Specialization
Citations

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

Fields of papers citing papers by Deguang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deguang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Deguang Li. A scholar is included among the top collaborators of Deguang 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 Deguang Li. Deguang 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.
Naeem, Hamad, et al.. (2025). Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization. International Journal of Critical Infrastructure Protection. 49. 100745–100745. 1 indexed citations
2.
Shen, Jiaquan, Ningzhong Liu, Han Sun, et al.. (2025). An algorithm based on lightweight semantic features for ancient mural element object detection. npj Heritage Science. 13(1). 27 indexed citations breakdown →
3.
Shen, Jiaquan, Ningzhong Liu, Han Sun, Deguang Li, & Yongxin Zhang. (2024). An Instrument Indication Acquisition Algorithm Based on Lightweight Deep Convolutional Neural Network and Hybrid Attention Fine-Grained Features. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 19 indexed citations
4.
Zhang, Yongxin, et al.. (2023). A Hybrid Model Based on Deep Convolutional Network for Medical Named Entity Recognition. Journal of Electrical and Computer Engineering. 2023. 1–11. 2 indexed citations
5.
Li, Deguang, et al.. (2022). Exploring Spatiotemporal Dynamics of PM2.5 Emission Based on Nighttime Light in China from 2012 to 2018. Sustainability. 14(21). 14011–14011.
6.
Liu, Ningzhong, et al.. (2022). Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments. Behavioural Neurology. 2022. 1–11. 1 indexed citations
7.
Shen, Jiaquan, Ningzhong Liu, Han Sun, Deguang Li, & Yongxin Zhang. (2022). Lightweight Deep Network With Context Information and Attention Mechanism for Vehicle Detection in Aerial Image. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 11 indexed citations
8.
Li, Deguang, et al.. (2022). An End-to-End Lane Detection Model with Attention and Residual Block. Computational Intelligence and Neuroscience. 2022. 1–13. 5 indexed citations
9.
Shen, Jiaquan, et al.. (2022). An Anchor-Free Lightweight Deep Convolutional Network for Vehicle Detection in Aerial Images. IEEE Transactions on Intelligent Transportation Systems. 23(12). 24330–24342. 46 indexed citations
10.
Li, Deguang, et al.. (2022). Learning State Assessment in Online Education Based on Multiple Facial Features Detection. Computational Intelligence and Neuroscience. 2022. 1–16. 2 indexed citations
11.
Li, Deguang, et al.. (2021). A Tool for Energy Consumption Monitoring and Analysis of the Android Terminal. Journal of Electrical and Computer Engineering. 2021. 1–11. 4 indexed citations
12.
Li, Deguang, et al.. (2021). A Parallel Attribute Reduction Method Based on Classification. Complexity. 2021(1). 1 indexed citations
13.
Luo, Yan, et al.. (2021). An Improved Gesture Segmentation Method for Gesture Recognition Based on CNN and YCbCr. Journal of Electrical and Computer Engineering. 2021. 1–9. 7 indexed citations
14.
Shen, Jiaquan, et al.. (2021). Finger Vein Recognition Algorithm Based on Lightweight Deep Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 67 indexed citations
15.
Liu, Kai, et al.. (2020). Combined Prediction Energy Model at Software Architecture Level. IEEE Access. 8. 214565–214576. 1 indexed citations
16.
Li, Deguang, et al.. (2020). A Wireless Multisensor Node for Long-Term Environmental Parameters Monitoring. Journal of Electrical and Computer Engineering. 2020. 1–12. 1 indexed citations
17.
Zhang, Yongxin, Peng Zhao, Deguang Li, & Konstantin Igorevich Kostromitin. (2020). Spatial Attention Based Real-Time Object Detection Network for Internet of Things Devices. IEEE Access. 8. 165863–165871. 3 indexed citations
18.
Kong, Zhengyi, et al.. (2020). Experimental study on the stress-strain relation of PVC-CFRP confined reinforced concrete column subjected to eccentric compression. Advances in concrete construction. 10(2). 151–159. 3 indexed citations
19.
Wang, Tao, Wei Dong, Jun Zhang, et al.. (2019). Acupoint injection for nonspecific chronic low back pain. Medicine. 98(29). e16478–e16478. 4 indexed citations
20.
Li, Deguang, et al.. (2017). The evolution of open-source mobile applications: An empirical study. Journal of Software Evolution and Process. 29(7). e1855–e1855. 11 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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