Yu Jin

1.6k total citations
40 papers, 1.0k citations indexed

About

Yu Jin is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yu Jin has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yu Jin's work include Energy Load and Power Forecasting (7 papers), Metallurgical Processes and Thermodynamics (5 papers) and Solar Radiation and Photovoltaics (4 papers). Yu Jin is often cited by papers focused on Energy Load and Power Forecasting (7 papers), Metallurgical Processes and Thermodynamics (5 papers) and Solar Radiation and Photovoltaics (4 papers). Yu Jin collaborates with scholars based in China, United Kingdom and United States. Yu Jin's co-authors include Ranran Li, Qingli Dong, Xuejiao Ma, Jianzhou Wang, Mark L. Rivers, G. Philip Robertson, Ehsan R. Toosi, Nathaniel E. Ostrom, Alexandra Kravchenko and Andrey Guber and has published in prestigious journals such as Science, PLoS ONE and Journal of Virology.

In The Last Decade

Yu Jin

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Jin China	18	411	222	128	119	96	40	1.0k
Xuan Yang China	22	249 0.6×	230 1.0×	87 0.7×	111 0.9×	515 5.4×	53	1.6k
Oğuz Kaynar Türkiye	14	229 0.6×	198 0.9×	92 0.7×	35 0.3×	144 1.5×	50	1.2k
Tingting Zhu China	17	306 0.7×	316 1.4×	49 0.4×	28 0.2×	26 0.3×	51	1.3k
Matteo De Felice Italy	23	828 2.0×	469 2.1×	143 1.1×	16 0.1×	64 0.7×	52	1.4k
Huifang Wang China	18	355 0.9×	90 0.4×	26 0.2×	27 0.2×	76 0.8×	100	1.0k
Arnaud De Myttenaere France	2	189 0.5×	153 0.7×	92 0.7×	11 0.1×	108 1.1×	2	936
Boris Golden France	3	189 0.5×	153 0.7×	96 0.8×	11 0.1×	108 1.1×	5	945
Nan Liu China	21	295 0.7×	136 0.6×	20 0.2×	150 1.3×	47 0.5×	125	1.3k
Junqi Yu China	20	429 1.0×	131 0.6×	56 0.4×	21 0.2×	153 1.6×	88	1.1k
Kaiyu Li China	20	104 0.3×	220 1.0×	22 0.2×	86 0.7×	86 0.9×	80	2.1k

Countries citing papers authored by Yu Jin

Since Specialization

Citations

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

Fields of papers citing papers by Yu Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Jin. A scholar is included among the top collaborators of Yu Jin 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 Jin. Yu Jin 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

Jin, Yu, Lujie Jin, Yujin Ji, & Youyong Li. (2025). Data-driven composition-only machine learning for high-performance solid-state electrolytes. Materials Chemistry Frontiers. 9(19). 2871–2878.

Mao, Xiao, Zhen Liu, Na Jiang, et al.. (2025). CETN3 deficiency induces microcephaly by disrupting neural stem/progenitor cell fate through impaired centrosome assembly and RNA splicing. EMBO Molecular Medicine. 17(10). 2735–2761.

Jin, Yu, et al.. (2025). Role of the microbiota–gut–lung axis in the pathogenesis of pulmonary disease in children and novel therapeutic strategies. Frontiers in Immunology. 16. 1636876–1636876. 1 indexed citations

Jin, Yu, et al.. (2025). UAV target tracking method based on global feature interaction and anchor-frame-free perceptual feature modulation. PLoS ONE. 20(1). e0314485–e0314485. 1 indexed citations

Yú, Liang, Ning Liu, Hao Zhang, et al.. (2024). Mutating a flexible region of the RSV F protein can stabilize the prefusion conformation. Science. 385(6716). 1484–1491. 11 indexed citations

Shao, Shuai, Xuefeng Zhang, Jun Hou, et al.. (2024). Design of hepadnavirus core protein-based chimeric virus-like particles carrying epitopes from respiratory syncytial virus. npj Vaccines. 9(1). 62–62. 3 indexed citations

Li, Ruomei, Bolin Zhang, Yu Jin, et al.. (2023). Manganese Enhances the Osteogenic Effect of Silicon‐Hydroxyapatite Nanowires by Targeting T Lymphocyte Polarization. Advanced Science. 11(4). e2305890–e2305890. 21 indexed citations

Jin, Yu, Xuefeng Zhang, Fang Tang, et al.. (2023). Chimeric virus-like particles of human norovirus constructed by structure-guided epitope grafting elicit cross-reactive immunity against both GI.1 and GII.4 genotypes. Journal of Virology. 97(10). e0093823–e0093823. 2 indexed citations

Zuo, Duo, et al.. (2023). Machine learning-based models for the prediction of breast cancer recurrence risk. BMC Medical Informatics and Decision Making. 23(1). 276–276. 56 indexed citations

10.

Jin, Yu, et al.. (2022). Rock mass quality classification based on deep learning: A feasibility study for stacked autoencoders. Journal of Rock Mechanics and Geotechnical Engineering. 15(7). 1749–1758. 19 indexed citations

11.

Liang, Yu, et al.. (2021). E484K mutation in SARS-CoV-2 RBD enhances binding affinity with hACE2 but reduces interactions with neutralizing antibodies and nanobodies: Binding free energy calculation studies. Journal of Molecular Graphics and Modelling. 109. 108035–108035. 53 indexed citations

12.

Zhang, Jiangshan, et al.. (2021). Mathematical modelling and plant trial on slagging regime in a ladle furnace for high-efficiency desulphurization. Ironmaking & Steelmaking Processes Products and Applications. 48(9). 1123–1132. 7 indexed citations

13.

Tan, Fei, Yu Jin, Yu‐Yong Jiao, et al.. (2021). Rapid assessment of landslide risk level based on deep learning. Arabian Journal of Geosciences. 14(3). 7 indexed citations

14.

Zheng, Lin, et al.. (2020). Memory Reorganization: A Symmetric Memory Network for Reorganizing Neighbors and Topics to Complete Rating Prediction. IEEE Access. 8. 81876–81886. 7 indexed citations

15.

Liu, Bin, Rui Li, Yanan Li, et al.. (2019). Discovery of Pimprinine Alkaloids as Novel Agents against a Plant Virus. Journal of Agricultural and Food Chemistry. 67(7). 1795–1806. 73 indexed citations

16.

Li, Ranran & Yu Jin. (2018). A wind speed interval prediction system based on multi-objective optimization for machine learning method. Applied Energy. 228. 2207–2220. 140 indexed citations

17.

Song, Sheng, et al.. (2018). Learning a Deep Motion Planning Model for Autonomous Driving. 1137–1142. 12 indexed citations

18.

Jin, Yu, et al.. (2009). Compression of massive models by efficiently exploiting repeated patterns. 229–230. 2 indexed citations

19.

Jin, Yu. (2002). Optimal choice of fuzzy rules in neuro-fuzzy systems. Kongzhi yu juece. 1 indexed citations

20.

Jin, Yu, et al.. (2000). A FUZZY INFERENCE SYSTEM BASED ON OPTIMAL FUZZY CLUSTER AND ITS APPLICATION IN PRODUCT QUALITY ESTIMATION. Information and Computation. 2 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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