Guancheng Wang

709 total citations · 1 hit paper
44 papers, 514 citations indexed

About

Guancheng Wang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Guancheng Wang has authored 44 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Control and Systems Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Guancheng Wang's work include Neural Networks and Applications (7 papers), Advanced Nanomaterials in Catalysis (5 papers) and Control Systems and Identification (5 papers). Guancheng Wang is often cited by papers focused on Neural Networks and Applications (7 papers), Advanced Nanomaterials in Catalysis (5 papers) and Control Systems and Identification (5 papers). Guancheng Wang collaborates with scholars based in China, Macao and Malaysia. Guancheng Wang's co-authors include Xiuchun Xiao, Long Jin, Dongyang Fu, Kaizheng Feng, Yu Zhang, Zhihao Hao, Haoen Huang, Haoan Wu, Shan Liao and Bob Zhang and has published in prestigious journals such as Advanced Materials, Nature Communications and Journal of Power Sources.

In The Last Decade

Guancheng Wang

39 papers receiving 507 citations

Hit Papers

Breaking the pH Limitation of Nanozymes: Mechanisms, Meth... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guancheng Wang China 14 151 145 143 116 78 44 514
Bin Qin China 11 265 1.8× 46 0.3× 116 0.8× 89 0.8× 50 0.6× 26 578
Ismaël Castillo France 14 190 1.3× 32 0.2× 218 1.5× 28 0.2× 132 1.7× 38 648
Song Qing China 9 140 0.9× 37 0.3× 56 0.4× 41 0.4× 179 2.3× 33 453
Anh Tran United States 13 98 0.6× 73 0.5× 392 2.7× 57 0.5× 40 0.5× 36 715
Jiqiang Feng China 10 144 1.0× 37 0.3× 26 0.2× 64 0.6× 20 0.3× 28 338

Countries citing papers authored by Guancheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guancheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guancheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guancheng Wang. A scholar is included among the top collaborators of Guancheng Wang 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 Guancheng Wang. Guancheng Wang 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.
Xu, Guangjun, Z Lin, Yucheng Shi, et al.. (2025). Recognition of chlorophyll rings using YOLOv8. Scientific Reports. 15(1). 13934–13934.
2.
Wang, Guancheng, et al.. (2025). MGRNN for dynamic constrained quadratic programming with verification and applications. Expert Systems with Applications. 299. 130034–130034. 1 indexed citations
3.
Ma, Jingyuan, Xiao Wang, Yuhan Cai, et al.. (2025). Anionic Liposomes as Optimal Membrane Fusion Carriers Enabling in Situ Multiplexed Detection of Extracellular Vesicle MicroRNAs. Advanced Science. 13(10). e19758–e19758.
4.
Wang, Guancheng, et al.. (2024). PTE: Prompt tuning with ensemble verbalizers. Expert Systems with Applications. 262. 125600–125600.
5.
Wang, Guancheng, Jingyuan Ma, Haijiao Dong, et al.. (2024). A Trinity Strategy to Boost the Catalytic Efficiency of Prussian Blue Nanozyme for Paper-Based Glucose Sensing Devices. ACS Applied Nano Materials. 7(18). 21241–21249. 2 indexed citations
6.
Wang, Guancheng, Pedro Maireles‐Torres, Joon Ching Juan, et al.. (2024). Catalytic esterification of pyruvic acid with ethanol via amphiphile-templated SAPO-5 hierarchical molecular sieves. Materials Chemistry and Physics. 333. 130335–130335.
7.
Du, Wei, Mingxuan Zhou, Guancheng Wang, et al.. (2024). A HPRR-based diatomic catalyst electrochemical biosensor for detecting cancer-related extracellular vesicles. Analytical Methods. 16(43). 7381–7389. 2 indexed citations
8.
Xing, Yanfeng, et al.. (2024). Distributed opinion competition scheme with gradient-based neural network in social networks. Scientific Reports. 14(1). 30883–30883. 1 indexed citations
9.
Feng, Kaizheng, Zhenzhen Wang, Shi Wang, et al.. (2024). Elucidating the catalytic mechanism of Prussian blue nanozymes with self-increasing catalytic activity. Nature Communications. 15(1). 5908–5908. 39 indexed citations
10.
Xiao, Xiuchun, et al.. (2023). Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection. Expert Systems with Applications. 229. 120490–120490. 17 indexed citations
11.
Xiao, Xiuchun, et al.. (2023). A dynamic matrix equation solution method based on NCBC-ZNN and its application on hyperspectral image multi-target detection. Applied Intelligence. 53(19). 22267–22281. 7 indexed citations
12.
Wang, Guancheng, Zhihao Hao, Haisheng Li, & Bob Zhang. (2023). An activated variable parameter gradient‐based neural network for time‐variant constrained quadratic programming and its applications. CAAI Transactions on Intelligence Technology. 8(3). 670–679. 19 indexed citations
13.
Zhou, Jianhang, Guancheng Wang, Shaoning Zeng, & Bob Zhang. (2023). Learning with Euler Collaborative Representation for Robust Pattern Analysis. ACM Transactions on Intelligent Systems and Technology. 14(6). 1–25. 1 indexed citations
14.
Dong, Haijiao, Guancheng Wang, Kaizheng Feng, et al.. (2022). Reference material of Prussian blue nanozymes for their peroxidase-like activity. The Analyst. 147(24). 5633–5642. 16 indexed citations
15.
Xiao, Hua, Yan Li, Binghui Li, & Guancheng Wang. (2022). An Investigation on CCT and Ra Optimization for Trichromatic White LEDs Using a Dual-Weight-Coefficient-Based Algorithm. Micromachines. 13(2). 276–276. 3 indexed citations
16.
Wang, Guancheng, Zhihao Hao, Haoen Huang, & Bob Zhang. (2022). A proportional-integral iterative algorithm for time-variant equality-constrained quadratic programming problem with applications. Artificial Intelligence Review. 56(5). 4535–4556. 7 indexed citations
17.
Chen, Xiangyi, et al.. (2022). A Hybrid ARIMA-GABP Model for Predicting Sea Surface Temperature. Electronics. 11(15). 2359–2359. 4 indexed citations
18.
Huang, Haoen, Dongyang Fu, Jiazheng Zhang, et al.. (2020). Modified Newton integration neural algorithm for solving the multi-linear M -tensor equation. Applied Soft Computing. 96. 106674–106674. 13 indexed citations
19.
Wang, Guancheng, et al.. (2018). Gain Error Calibrations for Two-Step ADCs: Optimizations Either in Accuracy or Chip Area. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(11). 2279–2289. 2 indexed citations
20.
Wang, Guancheng, et al.. (2018). Missing-Code-Occurrence Probability Calibration Technique for DAC Nonlinearity With Supply and Reference Circuit Analysis in a SAR ADC. IEEE Transactions on Circuits and Systems I Regular Papers. 65(11). 3707–3719. 5 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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