Yu Gu

3.5k total citations · 1 hit paper
85 papers, 2.8k citations indexed

About

Yu Gu is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yu Gu has authored 85 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Artificial Intelligence. Recurrent topics in Yu Gu's work include Advanced Chemical Sensor Technologies (24 papers), Spectroscopy and Chemometric Analyses (10 papers) and Insect Pheromone Research and Control (7 papers). Yu Gu is often cited by papers focused on Advanced Chemical Sensor Technologies (24 papers), Spectroscopy and Chemometric Analyses (10 papers) and Insect Pheromone Research and Control (7 papers). Yu Gu collaborates with scholars based in China, Germany and Australia. Yu Gu's co-authors include Bin Cao, Jianwei Zhao, Zhihan Lv, Shuang Liang, Huixiang Liu, Peng Yang, Jintong Zhang, Zhiheng Sun, Xiaoliang Ma and Yingbiao Ling and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Geochimica et Cosmochimica Acta.

In The Last Decade

Yu Gu

79 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing

2021 194 citations Yu Gu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Gu China	27	687	672	616	364	327	85	2.8k
Jie Liu China	37	886 1.3×	588 0.9×	713 1.2×	388 1.1×	920 2.8×	294	4.5k
Humaira Arshad Pakistan	14	788 1.1×	270 0.4×	541 0.9×	392 1.1×	235 0.7×	23	3.0k
Muhammad Sulaiman Pakistan	27	560 0.8×	714 1.1×	267 0.4×	232 0.6×	207 0.6×	158	2.6k
Muhammad Hisyam Lee Malaysia	28	557 0.8×	554 0.8×	806 1.3×	74 0.2×	421 1.3×	153	3.5k
Vijander Singh India	23	760 1.1×	408 0.6×	496 0.8×	159 0.4×	565 1.7×	83	2.6k
Fang Zhao China	42	508 0.7×	441 0.7×	1.8k 2.8×	801 2.2×	400 1.2×	275	5.8k
Sumit Singh Chauhan India	3	596 0.9×	187 0.3×	508 0.8×	182 0.5×	402 1.2×	6	2.8k
Nachaat Mohamed India	14	654 1.0×	221 0.3×	444 0.7×	307 0.8×	236 0.7×	49	2.4k
Ioan-Cristian Trelea France	27	961 1.4×	337 0.5×	342 0.6×	187 0.5×	562 1.7×	80	3.5k
Jesús González Spain	30	817 1.2×	252 0.4×	321 0.5×	389 1.1×	289 0.9×	169	3.1k

Countries citing papers authored by Yu Gu

Since Specialization

Citations

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

Fields of papers citing papers by Yu Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Gu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liang, Shuang & Yu Gu. (2025). A Coarse-to-Fine Feature Aggregation Neural Network with a Boundary-Aware Module for Accurate Food Recognition. Foods. 14(3). 383–383. 2 indexed citations

Wang, Pu, et al.. (2025). A synergy of DUT-67(Zr)@AFP with hierarchical pores and amines to remove trace SO2 from flue gas. Journal of Hazardous Materials. 495. 139170–139170.

Liu, Yang, Yan Li, Xue Bai, & Yu Gu. (2025). Enhancing Osteogenesis in Osteoporosis via Electromagnetized Gold Nanoparticles. Biomaterials Research. 29. 260–260.

Liang, Shuang, et al.. (2025). A Language-Guided Progressive Fusion Network with semantic density alignment for Medical Visual Question Answering. Journal of Biomedical Informatics. 165. 104811–104811.

Li, Dongguo, et al.. (2024). Prior knowledge-guided multilevel graph neural network for tumor risk prediction and interpretation via multi-omics data integration. Briefings in Bioinformatics. 25(3). 13 indexed citations

Liang, Shuang, et al.. (2024). STSN-Net: Simultaneous Tooth Segmentation and Numbering Method in Crowded Environments with Deep Learning. Diagnostics. 14(5). 497–497. 9 indexed citations

Liang, Shuang & Yu Gu. (2024). Multi-Modal Dysarthria Severity Assessment Using Dual-Branch Feature Decoupling Network and Mixed Expert Framework. 126–130.

Wei, Hao, Qinghua Zhang, & Yu Gu. (2023). Remaining useful life prediction of bearings based on self-attention mechanism, multi-scale dilated causal convolution, and temporal convolution network. Measurement Science and Technology. 34(4). 45107–45107. 28 indexed citations

Gu, Yu, et al.. (2023). A Machine Learning Method for the Quality Detection of Base Liquor and Commercial Liquor Using Multidimensional Signals from an Electronic Nose. Foods. 12(7). 1508–1508. 4 indexed citations

10.

Wei, Hao, et al.. (2023). Fault Diagnosis of Rotating Machinery: A Highly Efficient and Lightweight Framework Based on a Temporal Convolutional Network and Broad Learning System. Sensors. 23(12). 5642–5642. 2 indexed citations

11.

Chen, Wenbai, et al.. (2022). A CNN-LSTM-based domain adaptation model for remaining useful life prediction. Measurement Science and Technology. 33(11). 115118–115118. 12 indexed citations

12.

Wang, Xuqian & Yu Gu. (2022). Classification of macular abnormalities using a lightweight CNN-SVM framework. Measurement Science and Technology. 33(6). 65702–65702. 8 indexed citations

13.

Wu, Zhiyuan, Li Li, Ronghua Jin, et al.. (2021). Texture feature-based machine learning classifier could assist in the diagnosis of COVID-19. European Journal of Radiology. 137. 109602–109602. 19 indexed citations

14.

Liang, Shuang & Yu Gu. (2021). A deep convolutional neural network to simultaneously localize and recognize waste types in images. Waste Management. 126. 247–257. 67 indexed citations

15.

Zheng, Hua & Yu Gu. (2021). EnCNN-UPMWS: Waste Classification by a CNN Ensemble Using the UPM Weighting Strategy. Electronics. 10(4). 427–427. 20 indexed citations

16.

Gu, Yu, et al.. (2020). Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques. Sensors. 20(15). 4238–4238. 54 indexed citations

17.

Luo, Wei, Yongdong Li, Hongguang Wang, et al.. (2019). Magnetic insulation in a curved vacuum transmission line. Journal of Applied Physics. 125(16). 5 indexed citations

18.

Gu, Yu, Ying Xu, & Baofeng Guo. (2018). Hyperspectral Image Classification by Combination of Spatial-spectral Features and Ensemble Extreme Learning Machines. SHILAP Revista de lepidopterología. 2 indexed citations

19.

Gu, Yu, et al.. (2018). Convenient and accurate method for the identification of Chinese teas by an electronic nose. Quality Assurance and Safety of Crops & Foods. 11(1). 79–88. 9 indexed citations

20.

Wei, Qingyang, Tianyu Ma, Ming Zeng, et al.. (2017). Crystal identification for a dual-layer-offset LYSO based PET system via Lu-176 background radiation and mean shift algorithm. Physics in Medicine and Biology. 63(2). 02NT01–02NT01. 6 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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