Xuebin Yue

677 total citations
46 papers, 434 citations indexed

About

Xuebin Yue is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Xuebin Yue has authored 46 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Xuebin Yue's work include Advanced Neural Network Applications (13 papers), Currency Recognition and Detection (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Xuebin Yue is often cited by papers focused on Advanced Neural Network Applications (13 papers), Currency Recognition and Detection (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Xuebin Yue collaborates with scholars based in Japan, China and United States. Xuebin Yue's co-authors include Lin Meng, Hengyi Li, Wenwen Wang, Hiroyuki Tomiyama, Zhichen Wang, Masao Shimizu, Sadao Kawamura, Wang Xiangheng, Zhuo Li and Shuaishuai Zhang and has published in prestigious journals such as Sensors, Technological Forecasting and Social Change and Reliability Engineering & System Safety.

In The Last Decade

Xuebin Yue

38 papers receiving 422 citations

Peers

Xuebin Yue
Hengyi Li Japan
Muhammad Ilyas Pakistan
Qujiang Lei China
Wahyu Rahmaniar Taiwan
Vijay Kumar Banga India
Qingsheng Xie China
Zhiqiang Hao China
Huanbing Gao China
Ha Quang Thinh Ngo Vietnam
Hengyi Li Japan
Xuebin Yue
Citations per year, relative to Xuebin Yue Xuebin Yue (= 1×) peers Hengyi Li

Countries citing papers authored by Xuebin Yue

Since Specialization
Citations

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

Fields of papers citing papers by Xuebin Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuebin Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Xuebin Yue. A scholar is included among the top collaborators of Xuebin Yue 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 Xuebin Yue. Xuebin Yue 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.
Saldanha‐da‐Gama, Francisco, et al.. (2025). Advertising strategies for innovation capability sharing: A two-sided market analysis. Technological Forecasting and Social Change. 224. 124462–124462.
2.
Yue, Xuebin, et al.. (2025). Aircraft maintenance scheduling optimization with the impact of human errors. Reliability Engineering & System Safety. 270. 112164–112164.
3.
Li, Zhuo, et al.. (2025). Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3325–3340.
4.
Yue, Xuebin, et al.. (2024). An unsupervised automatic organization method for Professor Shirakawa’s hand-notated documents of oracle bone inscriptions. International Journal on Document Analysis and Recognition (IJDAR). 27(4). 583–601. 1 indexed citations
5.
Yue, Xuebin, et al.. (2024). Japanese literature organization and spatiotemporal database system creation for natural disaster analysis. Heritage Science. 12(1). 2 indexed citations
6.
Lu, Dadao, et al.. (2024). Space of flows theory and multiscale analysis. 地理科学进展. 43(12). 2327–2336. 1 indexed citations
7.
Li, Zhuo, et al.. (2023). IoT-based automatic deep learning model generation and the application on Empty-dish Recycling Robots. Internet of Things. 25. 101047–101047. 12 indexed citations
8.
Li, Hengyi, et al.. (2023). A Transformer-Based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robots Using Plantar Force. Sensors. 23(14). 6547–6547. 11 indexed citations
9.
Wang, Bin, et al.. (2023). Novel Active Damping Design Based on a Biquad Filter for an LLCL Grid-Tied Inverter. Energies. 16(3). 1093–1093. 2 indexed citations
10.
Yue, Xuebin & Lin Meng. (2023). YOLO-MSA: A Multiscale Stereoscopic Attention Network for Empty-Dish Recycling Robots. IEEE Transactions on Instrumentation and Measurement. 72. 1–14. 16 indexed citations
11.
Yue, Xuebin, et al.. (2022). YOLO-GG: a slight object detection model for empty-dish recycling robot. 6. 59–63. 5 indexed citations
12.
Yue, Xuebin, Hengyi Li, & Lin Meng. (2022). AI-based Prevention Embedded System Against COVID-19 in Daily Life. Procedia Computer Science. 202. 152–157. 4 indexed citations
13.
Li, Hengyi, Zhichen Wang, Xuebin Yue, et al.. (2022). An architecture-level analysis on deep learning models for low-impact computations. Artificial Intelligence Review. 56(3). 1971–2010. 33 indexed citations
14.
Yue, Xuebin, Hengyi Li, Masao Shimizu, Sadao Kawamura, & Lin Meng. (2022). Deep Learning-based Real-time Object Detection for Empty-Dish Recycling Robot. 2022 13th Asian Control Conference (ASCC). 2177–2182. 14 indexed citations
15.
Yue, Xuebin, et al.. (2022). Grasp Point Calculation and Food Waste Detection for Dish-recycling Robot. 41–46. 4 indexed citations
16.
17.
Li, Hengyi, Zhichen Wang, Xuebin Yue, et al.. (2021). A Comprehensive Analysis of Low-Impact Computations in Deep Learning Workloads. 385–390. 14 indexed citations
18.
Xiangheng, Wang, Xuebin Yue, Hengyi Li, & Lin Meng. (2021). A high-efficiency dirty-egg detection system based on YOLOv4 and TensorRT. 75–80. 13 indexed citations
19.
Matsuo, Tomoko, T. J. Fuller‐Rowell, R. A. Akmaev, et al.. (2014). Predictability and Ensemble Modeling of the Space-Atmosphere Interaction Region. 2014 AGU Fall Meeting. 2014.
20.
Yue, Xuebin, Edward A. Vessel, & Irving Biederman. (2010). The neural basis of preference for natural scenes. Journal of Vision. 6(6). 474–474. 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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