Guocheng Li

413 total citations
17 papers, 305 citations indexed

About

Guocheng Li is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guocheng Li has authored 17 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 3 papers in Control and Systems Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guocheng Li's work include Machine Learning and ELM (8 papers), Neural Networks and Applications (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Guocheng Li is often cited by papers focused on Machine Learning and ELM (8 papers), Neural Networks and Applications (6 papers) and Metaheuristic Optimization Algorithms Research (5 papers). Guocheng Li collaborates with scholars based in China, Hong Kong and United States. Guocheng Li's co-authors include Jun Wang, Zheng Yan, Zheng Yan, Fei Shuang, Qingye Hou, Zhongfang Yang, Tao Yu, Xueqi Xia, Sitian Qin and Shiji Song and has published in prestigious journals such as Chemosphere, IEEE Access and Neurocomputing.

In The Last Decade

Guocheng Li

15 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guocheng Li China 7 196 57 46 45 40 17 305
Shoubao Su China 9 148 0.8× 61 1.1× 31 0.7× 51 1.1× 55 1.4× 42 319
Doaa El-Shahat Egypt 4 190 1.0× 81 1.4× 40 0.9× 47 1.0× 54 1.4× 10 347
Raffaele Mascella Italy 8 206 1.1× 100 1.8× 44 1.0× 36 0.8× 32 0.8× 18 303
Farhad Soleimanian Gharehchopogh Iran 5 151 0.8× 54 0.9× 44 1.0× 32 0.7× 27 0.7× 19 311
Fang Dai China 8 191 1.0× 55 1.0× 29 0.6× 159 3.5× 20 0.5× 31 376
Yaning Xiao China 8 182 0.9× 88 1.5× 45 1.0× 56 1.2× 22 0.6× 11 303
Junbo Jacob Lian China 6 217 1.1× 97 1.7× 44 1.0× 65 1.4× 18 0.5× 15 421
Yintong Li China 11 330 1.7× 149 2.6× 34 0.7× 43 1.0× 29 0.7× 19 426
Mehmet Katı Türkiye 9 275 1.4× 162 2.8× 72 1.6× 30 0.7× 19 0.5× 9 488
Ashutosh Bhadoria India 9 226 1.2× 134 2.4× 79 1.7× 27 0.6× 27 0.7× 17 495

Countries citing papers authored by Guocheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Guocheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guocheng Li

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

All Works

17 of 17 papers shown
1.
Wang, Ying, et al.. (2022). Hybrid Enhanced Binary Honey Badger Algorithm with Quadratic Programming for Cardinality Constrained Portfolio Optimization. International Journal of Foundations of Computer Science. 33(06n07). 787–803. 1 indexed citations
2.
Li, Guocheng, et al.. (2022). A neurodynamic optimization approach to nonconvex resource allocation problem. Neurocomputing. 512. 178–189. 6 indexed citations
3.
4.
Liu, Lei, et al.. (2022). Construction of Predictive Model for Type 2 Diabetic Retinopathy Based on Extreme Learning Machine. Diabetes Metabolic Syndrome and Obesity. Volume 15. 2607–2617. 2 indexed citations
5.
6.
Li, Guocheng, et al.. (2019). Hybrid Binary Bat Algorithm with Cross-Entropy Method for Feature Selection. 165–169. 8 indexed citations
7.
Qin, Sitian, et al.. (2019). A Delayed Neural Network for Solving a Class of Constrained Pseudoconvex Optimizations. 29–35. 1 indexed citations
8.
Li, Guocheng, et al.. (2019). A Novel Hybrid Meta-Heuristic Algorithm Based on the Cross-Entropy Method and Firefly Algorithm for Global Optimization. Entropy. 21(5). 494–494. 21 indexed citations
9.
Li, Guocheng, et al.. (2019). An Improved Butterfly Optimization Algorithm for Engineering Design Problems Using the Cross-Entropy Method. Symmetry. 11(8). 1049–1049. 56 indexed citations
10.
11.
Xia, Xueqi, et al.. (2016). Practicability of monitoring soil Cd, Hg, and Pb pollution based on a geochemical survey in China. Chemosphere. 172. 217–224. 18 indexed citations
12.
Yan, Zheng, Jun Wang, & Guocheng Li. (2014). A collective neurodynamic optimization approach to bound-constrained nonconvex optimization. Neural Networks. 55. 20–29. 101 indexed citations
13.
Li, Guocheng, Zheng Yan, & Jun Wang. (2014). A one-layer recurrent neural network for constrained nonconvex optimization. Neural Networks. 61. 10–21. 80 indexed citations
14.
15.
Li, Guocheng, et al.. (2011). Estimation of Distribution Algorithm for Solving Clustering Problem. Jisuanji gongcheng. 37(22). 191–192.
16.
Li, Guocheng, et al.. (2008). Sub-gradient based projection neural networks for non-differentiable optimization problems. 835–839. 1 indexed citations
17.
Li, Guocheng, Shiji Song, & Cheng Wu. (2006). Subgradient-based feedback neural networks for non-differentiable convex optimization problems. Science in China Series F Information Sciences. 49(4). 421–435. 4 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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