Yongbin Gao

1.8k total citations
88 papers, 1.3k citations indexed

About

Yongbin Gao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yongbin Gao has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 15 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Yongbin Gao's work include Advanced Vision and Imaging (17 papers), Advanced Neural Network Applications (14 papers) and Robotics and Sensor-Based Localization (12 papers). Yongbin Gao is often cited by papers focused on Advanced Vision and Imaging (17 papers), Advanced Neural Network Applications (14 papers) and Robotics and Sensor-Based Localization (12 papers). Yongbin Gao collaborates with scholars based in China, South Korea and United States. Yongbin Gao's co-authors include Zhijun Fang, Hyo Jong Lee, Xiaoyan Jiang, Bo Huang, Shaoling Zhang, Juyou Wu, Weiguo Wan, Naixue Xiong, Jenq–Neng Hwang and Raja Majid Mehmood and has published in prestigious journals such as Journal of Cell Science, IEEE Transactions on Image Processing and IEEE Communications Surveys & Tutorials.

In The Last Decade

Yongbin Gao

78 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongbin Gao China	20	631	204	201	171	155	88	1.3k
Xiaolin Wei China	18	1.1k 1.8×	60 0.3×	41 0.2×	380 2.2×	124 0.8×	53	1.7k
Ningning Ma China	6	993 1.6×	28 0.1×	124 0.6×	309 1.8×	216 1.4×	9	1.7k
Nadia Kanwal United Kingdom	14	693 1.1×	35 0.2×	82 0.4×	183 1.1×	87 0.6×	56	1.3k
Payman Moallem Iran	20	455 0.7×	42 0.2×	158 0.8×	218 1.3×	258 1.7×	112	1.6k
Heliang Zheng China	8	1.6k 2.6×	44 0.2×	87 0.4×	975 5.7×	240 1.5×	13	2.1k
Zhen Jia China	9	820 1.3×	19 0.1×	152 0.8×	200 1.2×	140 0.9×	22	1.4k
Andrew Owens United States	14	1.4k 2.2×	62 0.3×	77 0.4×	294 1.7×	93 0.6×	29	2.0k
Aruni RoyChowdhury United States	6	1.2k 1.9×	27 0.1×	63 0.3×	640 3.7×	208 1.3×	6	1.6k
Hossein Pourghassem Iran	17	382 0.6×	45 0.2×	123 0.6×	153 0.9×	81 0.5×	106	1.1k

Countries citing papers authored by Yongbin Gao

Since Specialization

Citations

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

Fields of papers citing papers by Yongbin Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongbin Gao

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

Liu, Erwu, Wei Ni, Zhijun Fang, et al.. (2025). Through-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey. IEEE Communications Surveys & Tutorials. 28. 2263–2305.

Fang, Zhijun, et al.. (2024). Enhanced side information fusion framework for sequential recommendation. International Journal of Machine Learning and Cybernetics. 16(2). 1157–1173. 1 indexed citations

Liu, Erwu, et al.. (2024). Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network. IEEE Transactions on Wireless Communications. 23(10). 15096–15111.

Gao, Yongbin, et al.. (2024). Monocular Depth and Ego-motion Estimation with Scale Based on Superpixel and Normal Constraints. ACM Transactions on Multimedia Computing Communications and Applications. 20(10). 1–26. 1 indexed citations

Gao, Yongbin, et al.. (2024). Global Research Trends and Future Directions for Buckwheat as a Smart Crop: A Bibliometric and Content Analysis. Foods. 13(24). 4068–4068. 2 indexed citations

Jiang, Xiaoyan, et al.. (2024). TV-Net: A Structure-Level Feature Fusion Network Based on Tensor Voting for Road Crack Segmentation. IEEE Transactions on Intelligent Transportation Systems. 25(6). 5743–5754. 11 indexed citations

Gao, Yongbin, et al.. (2023). An angular shrinkage BERT model for few-shot relation extraction with none-of-the-above detection. Pattern Recognition Letters. 166. 151–158. 3 indexed citations

Jiang, Xiaoyan, et al.. (2023). F-SCP: An automatic prompt generation method for specific classes based on visual language pre-training models. Pattern Recognition. 147. 110096–110096. 10 indexed citations

Jiang, Xiaoyan, et al.. (2022). Unsupervised Monocular Visual Odometry for Fast-Moving Scenes Based on Optical Flow Network with Feature Point Matching Constraint. Sensors. 22(24). 9647–9647. 3 indexed citations

10.

Gao, Yongbin, Xuebing Liu, Jun Li, et al.. (2022). LFT-Net: Local Feature Transformer Network for Point Clouds Analysis. IEEE Transactions on Intelligent Transportation Systems. 1–11. 53 indexed citations

11.

Huang, Bo, Yimin Zhu, Yongbin Gao, et al.. (2021). The analysis of isolation measures for epidemic control of COVID-19. Applied Intelligence. 51(5). 3074–3085. 13 indexed citations

12.

Xiong, Yu-Jie, Yongbin Gao, Hong Wu, & Yao Yao. (2021). Attention U-Net with Feature Fusion Module for Robust Defect Detection. Journal of Circuits Systems and Computers. 30(15). 9 indexed citations

13.

Tang, Xianhua, Bo Huang, Ziran Wei, et al.. (2021). Celiac trunk segmentation incorporating with additional contour constraint. Applied Intelligence. 51(10). 7196–7207. 1 indexed citations

14.

Gao, Yongbin, Zhijun Fang, Yuming Fang, et al.. (2021). Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 1751–1766. 44 indexed citations

15.

Huang, Bo, Ziran Wei, Xianhua Tang, et al.. (2021). Deep learning network for medical volume data segmentation based on multi axial plane fusion. Computer Methods and Programs in Biomedicine. 212. 106480–106480. 4 indexed citations

16.

Wu, Yi, Xiaoyan Jiang, Zhijun Fang, Yongbin Gao, & Hamido Fujita. (2021). Multi-modal 3D object detection by 2D-guided precision anchor proposal and multi-layer fusion. Applied Soft Computing. 108. 107405–107405. 31 indexed citations

17.

Jiang, Xiaoyan, et al.. (2020). Photometric transfer for direct visual odometry. Knowledge-Based Systems. 213. 106671–106671. 12 indexed citations

18.

Zhang, Juan, Zhijun Fang, Bo Huang, et al.. (2019). Single Image Snow Removal via Composition Generative Adversarial Networks. IEEE Access. 7. 25016–25025. 40 indexed citations

19.

Jiang, Xiaoyan, Zhijun Fang, Naixue Xiong, et al.. (2018). Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks. IEEE Access. 6. 13716–13728. 18 indexed citations

20.

Gao, Yongbin, Naixue Xiong, Bo Huang, et al.. (2018). Human Action Monitoring for Healthcare Based on Deep Learning. IEEE Access. 6. 52277–52285. 81 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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