Yating Hu

420 total citations
37 papers, 278 citations indexed

About

Yating Hu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yating Hu has authored 37 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yating Hu's work include Advanced Clustering Algorithms Research (10 papers), Spectroscopy and Chemometric Analyses (7 papers) and Smart Agriculture and AI (5 papers). Yating Hu is often cited by papers focused on Advanced Clustering Algorithms Research (10 papers), Spectroscopy and Chemometric Analyses (7 papers) and Smart Agriculture and AI (5 papers). Yating Hu collaborates with scholars based in China, United States and Pakistan. Yating Hu's co-authors include Yujie Li, Benxue Ma, Guowei Yu, Hongchen Zhang, Jian Li, Huiling Chen, Abeer D. Algarni, Hela Elmannai, Weijiang Zhang and Ali Asghar Heidari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Journal of Materials Chemistry A.

In The Last Decade

Yating Hu

33 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yating Hu China 8 77 69 63 35 32 37 278
Wele Gedara Chaminda Bandara United States 11 233 3.0× 55 0.8× 38 0.6× 48 1.4× 49 1.5× 20 495
Ludovic Macaire France 10 352 4.6× 36 0.5× 63 1.0× 31 0.9× 24 0.8× 42 476
María Díaz Spain 13 141 1.8× 41 0.6× 37 0.6× 52 1.5× 51 1.6× 26 384
Guangjun Zhang China 10 126 1.6× 90 1.3× 17 0.3× 30 0.9× 49 1.5× 31 403
Qi Feng China 8 40 0.5× 48 0.7× 30 0.5× 12 0.3× 18 0.6× 38 320
Yan Dong China 12 163 2.1× 16 0.2× 55 0.9× 20 0.6× 58 1.8× 35 372

Countries citing papers authored by Yating Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yating Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yating Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yating Hu. A scholar is included among the top collaborators of Yating Hu 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 Yating Hu. Yating Hu 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.
Zhang, Qifu, Jing Wei, Yating Hu, et al.. (2025). Advances and industrialization of LiFePO 4 cathodes in electric vehicles: challenges, innovations, and future directions. Journal of Materials Chemistry A. 13(23). 17271–17283. 5 indexed citations
2.
3.
Zhang, Chi, et al.. (2025). Intelligent Sensing and Application of Animal Behaviors Based on Wearable Sensors: A Review. Preprints.org. 1 indexed citations
4.
Hu, Yating, et al.. (2025). Estimation of Rice Leaf Nitrogen Content Using UAV-Based Spectral–Texture Fusion Indices (STFIs) and Two-Stage Feature Selection. Remote Sensing. 17(14). 2499–2499. 2 indexed citations
5.
Hua, Xia, Yating Hu, Wei Hu, & Yong Xu. (2025). Regiodivergent catalytic mechanism of cellular membrane-bound dehydrogenase for the high selective bio-oxidation of primary diols. Separation and Purification Technology. 364. 132436–132436.
6.
Hu, Yating, et al.. (2025). Classification of maize seed hyperspectral images based on variable-depth convolutional kernels. Frontiers in Plant Science. 16. 1599231–1599231. 1 indexed citations
7.
Hu, Yating, et al.. (2024). The evaluation of Small River water pollution caused by tailing spill in the Northeast of China using high-resolution images. Environmental Impact Assessment Review. 109. 107633–107633. 2 indexed citations
8.
9.
Hu, Yating, Ikram ul Haq, Yong Xu, & Xia Hua. (2024). A high-performance anion-exchange chromatographic method for the fast analysis and precise determination of varied glucose-derived acids during biomass biorefinery. Food Chemistry. 460(Pt 3). 140626–140626. 4 indexed citations
10.
Hu, Yating, Yu Wang, Ge Liu, et al.. (2023). Extraction of eutrophic and green ponds from segmentation of high-resolution imagery based on the EAF-Unet algorithm. Environmental Pollution. 343. 123207–123207. 4 indexed citations
11.
Li, Jian, Yating Hu, Hongchen Zhang, et al.. (2023). Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++. Computers in Biology and Medicine. 158. 106501–106501. 76 indexed citations
12.
13.
Li, Jian, et al.. (2023). RJA-Star Algorithm for UAV Path Planning Based on Improved R5DOS Model. Applied Sciences. 13(2). 1105–1105. 16 indexed citations
14.
Yu, Guowei, Huihui Li, Yujie Li, et al.. (2023). Multiscale Deepspectra Network: Detection of Pyrethroid Pesticide Residues on the Hami Melon. Foods. 12(9). 1742–1742. 13 indexed citations
15.
Hu, Yating, et al.. (2023). An improved DCGAN model: Data augmentation of hyperspectral image for identification pesticide residues of Hami melon. Food Control. 157. 110168–110168. 36 indexed citations
16.
Gao, Jianhua, et al.. (2022). A Novel Automated Machine-Learning Model for Lithofacies Recognition. 1 indexed citations
17.
Hu, Yating, Zhi Wang, Xiaofeng Li, et al.. (2022). Nondestructive Classification of Maize Moldy Seeds by Hyperspectral Imaging and Optimal Machine Learning Algorithms. Sensors. 22(16). 6064–6064. 17 indexed citations
18.
Hu, Yating, et al.. (2016). Bearing fault diagnosis based on multi-scale possibilistic clustering algorithm. 354–357. 3 indexed citations
19.
Hu, Yating, et al.. (2013). An unsupervised possibilistic c-means clustering algorithm with data reduction. 29–33. 3 indexed citations
20.
Hu, Yating, et al.. (2011). A cluster validity index for fuzzy c-means clustering. 263–266. 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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