Zhiguo Yu

661 total citations
9 papers, 412 citations indexed

About

Zhiguo Yu is a scholar working on Artificial Intelligence, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, Zhiguo Yu has authored 9 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Aerospace Engineering and 2 papers in Molecular Biology. Recurrent topics in Zhiguo Yu's work include Radar Systems and Signal Processing (4 papers), Wireless Signal Modulation Classification (4 papers) and Air Quality and Health Impacts (2 papers). Zhiguo Yu is often cited by papers focused on Radar Systems and Signal Processing (4 papers), Wireless Signal Modulation Classification (4 papers) and Air Quality and Health Impacts (2 papers). Zhiguo Yu collaborates with scholars based in China, Italy and France. Zhiguo Yu's co-authors include Xinyu Tian, Abdussalam Elhanashi, Sergio Saponara, Qinghe Zheng, Hongjun Wang, Rui Yu, Qinghe Zheng, Yao Ding, Kidiyo Kpalma and Ruoyu Wang and has published in prestigious journals such as Expert Systems with Applications, Sustainable Cities and Society and Engineering Applications of Artificial Intelligence.

In The Last Decade

Zhiguo Yu

9 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhiguo Yu China	8	128	125	63	41	39	9	412
Guilu Wu China	8	104 0.8×	120 1.0×	97 1.5×	19 0.5×	36 0.9×	34	500
Jie Zeng China	11	94 0.7×	83 0.7×	59 0.9×	46 1.1×	24 0.6×	32	467
Nouf Abdullah Almujally Saudi Arabia	14	237 1.9×	166 1.3×	52 0.8×	38 0.9×	25 0.6×	65	599
Junhao Huang China	10	105 0.8×	101 0.8×	34 0.5×	28 0.7×	22 0.6×	27	341
Yu Jiang China	15	151 1.2×	118 0.9×	56 0.9×	29 0.7×	30 0.8×	80	571
Penghui Zhao China	8	168 1.3×	187 1.5×	119 1.9×	55 1.3×	17 0.4×	14	542
Yunbo Rao China	10	246 1.9×	226 1.8×	39 0.6×	30 0.7×	21 0.5×	50	622
Dulari Bhatt India	3	179 1.4×	150 1.2×	55 0.9×	14 0.3×	31 0.8×	4	562
Pooja Asopa India	4	101 0.8×	113 0.9×	40 0.6×	17 0.4×	14 0.4×	5	458

Countries citing papers authored by Zhiguo Yu

Since Specialization

Citations

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

Fields of papers citing papers by Zhiguo Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiguo Yu

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

All Works

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9 of 9 papers shown

Zheng, Qinghe, et al.. (2024). Robust automatic modulation classification using asymmetric trilinear attention net with noisy activation function. Engineering Applications of Artificial Intelligence. 141. 109861–109861. 26 indexed citations

Zheng, Qinghe, Xinyu Tian, Zhiguo Yu, et al.. (2023). Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction. Expert Systems with Applications. 245. 123008–123008. 37 indexed citations

Zheng, Qinghe, Xinyu Tian, Zhiguo Yu, et al.. (2023). Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China. Sustainable Cities and Society. 92. 104486–104486. 58 indexed citations

Zheng, Qinghe, Xinyu Tian, Zhiguo Yu, et al.. (2023). DL-PR: Generalized automatic modulation classification method based on deep learning with priori regularization. Engineering Applications of Artificial Intelligence. 122. 106082–106082. 72 indexed citations

Zheng, Qinghe, Ruoyu Wang, Xinyu Tian, et al.. (2023). A real-time transformer discharge pattern recognition method based on CNN-LSTM driven by few-shot learning. Electric Power Systems Research. 219. 109241–109241. 58 indexed citations

Zheng, Qinghe, Sergio Saponara, Xinyu Tian, et al.. (2023). A real-time constellation image classification method of wireless communication signals based on the lightweight network MobileViT. Cognitive Neurodynamics. 18(2). 659–671. 71 indexed citations

Tian, Xinyu, Qinghe Zheng, Zhiguo Yu, et al.. (2023). A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data. Big Data and Cognitive Computing. 7(3). 131–131. 7 indexed citations

Zheng, Qinghe, Xinyu Tian, Zhiguo Yu, et al.. (2023). MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems. Drones. 7(10). 596–596. 70 indexed citations

Wu, Chuanyan, Kai Shi, Qingju Zhang, et al.. (2021). PEPRF: Identification of Essential Proteins by Integrating Topological Features of PPI Network and Sequence-based Features via Random Forest. Current Bioinformatics. 16(9). 1161–1168. 13 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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