Yuefang Gao

747 total citations
54 papers, 480 citations indexed

About

Yuefang Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Yuefang Gao has authored 54 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 8 papers in Plant Science. Recurrent topics in Yuefang Gao's work include Smart Agriculture and AI (7 papers), Computer Graphics and Visualization Techniques (6 papers) and Recommender Systems and Techniques (5 papers). Yuefang Gao is often cited by papers focused on Smart Agriculture and AI (7 papers), Computer Graphics and Visualization Techniques (6 papers) and Recommender Systems and Techniques (5 papers). Yuefang Gao collaborates with scholars based in China, Australia and United States. Yuefang Gao's co-authors include Liang Lin, Tianshui Chen, Caixing Liu, Xiaonan Luo, Le Dong, Hanxing Liu, Xu-hong Tian, Shihao Wu, Yuxin Liu and Guiqing Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Journal of Animal Science.

In The Last Decade

Yuefang Gao

46 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuefang Gao China	12	196	104	87	61	52	54	480
Wenqing Wang China	11	164 0.8×	29 0.3×	34 0.4×	30 0.5×	36 0.7×	46	439
Xi Liu China	15	271 1.4×	27 0.3×	73 0.8×	104 1.7×	22 0.4×	39	695
Yumin Tian China	12	292 1.5×	69 0.7×	82 0.9×	87 1.4×	8 0.2×	44	589
Jia Lv China	13	44 0.2×	100 1.0×	35 0.4×	81 1.3×	11 0.2×	55	502
Dan Tulpan Canada	19	52 0.3×	39 0.4×	241 2.8×	66 1.1×	124 2.4×	74	1.2k
Anand Mohan India	6	48 0.2×	35 0.3×	20 0.2×	77 1.3×	41 0.8×	15	278
Alexey Ruchay Russia	13	156 0.8×	19 0.2×	197 2.3×	45 0.7×	171 3.3×	63	509
M. R. Amin Bangladesh	11	51 0.3×	24 0.2×	78 0.9×	35 0.6×	26 0.5×	70	400
Pyke Tin Japan	14	235 1.2×	109 1.0×	92 1.1×	99 1.6×	122 2.3×	84	582
Mohammad Amin Sadeghi Iran	12	328 1.7×	163 1.6×	51 0.6×	10 0.2×	39 0.8×	26	595

Countries citing papers authored by Yuefang Gao

Since Specialization

Citations

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

Fields of papers citing papers by Yuefang Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuefang Gao

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

Li, Ximing, Jingye Li, Yue Zhang, et al.. (2024). SPCN: An Innovative Soybean Pod Counting Network Based on HDC Strategy and Attention Mechanism. Agriculture. 14(8). 1347–1347. 3 indexed citations

Huang, Ling, et al.. (2024). Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2843–2857. 5 indexed citations

Huang, Ling, et al.. (2024). Knowledge-reinforced explainable next basket recommendation. Neural Networks. 180. 106675–106675. 2 indexed citations

Huang, Ling, et al.. (2024). Higher-Order Smoothness Enhanced Graph Collaborative Filtering. IEEE Transactions on Big Data. 10(6). 731–741.

Gao, Yuefang, et al.. (2024). Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition. IEEE Transactions on Multimedia. 26. 6676–6688. 8 indexed citations

Li, Ximing, et al.. (2024). Deconvolution Enhancement Keypoint Network for Efficient Fish Fry Counting. Animals. 14(10). 1490–1490. 2 indexed citations

Gao, Yuefang, et al.. (2023). Multi-scale broad collaborative filtering for personalized recommendation. Knowledge-Based Systems. 278. 110853–110853. 9 indexed citations

Li, Zhiyuan, Man-Sheng Chen, Yuefang Gao, & Chang‐Dong Wang. (2023). Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation. Data Science and Engineering. 8(3). 318–328. 7 indexed citations

Li, Ximing, et al.. (2023). An Improved Method for Broiler Weight Estimation Integrating Multi-Feature with Gradient Boosting Decision Tree. Animals. 13(23). 3721–3721. 6 indexed citations

10.

Cai, Huiyi, et al.. (2022). Fine-Grained Butterfly Recognition via Peer Learning Network with Distribution-Aware Penalty Mechanism. Animals. 12(20). 2884–2884. 1 indexed citations

11.

Gao, Yuefang, et al.. (2022). Webly Supervised Fine-Grained Image Recognition with Graph Representation and Metric Learning. Electronics. 11(24). 4127–4127.

12.

Li, Ximing, et al.. (2022). Y-BGD: Broiler counting based on multi-object tracking. Computers and Electronics in Agriculture. 202. 107347–107347. 26 indexed citations

13.

Tan, Xinsheng, et al.. (2021). Spatial variation in major water quality types and its relationships with land cover in the middle and lower reaches of Aral Sea Basin. Zhongguo shengtai nongye xuebao. 29(2). 299–311. 1 indexed citations

14.

Huang, Ling, Ye Zhu, Yuefang Gao, et al.. (2021). Hybrid-Order Anomaly Detection on Attributed Networks. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12249–12263. 26 indexed citations

15.

Yu, Youben, et al.. (2017). 操纵茶树类黄酮3'-羟基化酶生物合成B环-3', 4'-二羟基黄酮类化合物. 57(3). 447–458. 2 indexed citations

16.

Nie, Lin, et al.. (2017). Fine-Grained Butterfly Recognition with Deep Residual Networks: A New Baseline and Benchmark. 1–7. 11 indexed citations

17.

Gao, Yuefang, et al.. (2012). Application of immune particle swarm algorithm in bio logical treatment process of wastewater. Computer Engineering and Applications Journal. 48(28). 234–239. 1 indexed citations

18.

Lu, Xin, et al.. (2010). System Design of Number Inquiry Software Basing on J2ME. 88–92. 1 indexed citations

19.

Han, Guoqiang, et al.. (2008). TV-Based Texture Image Inpainting. 1. 272–275. 2 indexed citations

20.

Gao, Yuefang. (2006). Research of Intelligent Navigation Mark Control System Based on GPRS/GPS/GIS. Jisuanji yingyong yanjiu.

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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