Hujun Yin

4.9k total citations · 1 hit paper
164 papers, 2.5k citations indexed

About

Hujun Yin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hujun Yin has authored 164 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 63 papers in Artificial Intelligence and 26 papers in Signal Processing. Recurrent topics in Hujun Yin's work include Neural Networks and Applications (44 papers), Face and Expression Recognition (32 papers) and Spectroscopy and Chemometric Analyses (21 papers). Hujun Yin is often cited by papers focused on Neural Networks and Applications (44 papers), Face and Expression Recognition (32 papers) and Spectroscopy and Chemometric Analyses (21 papers). Hujun Yin collaborates with scholars based in United Kingdom, China and Spain. Hujun Yin's co-authors include N.M. Allinson, Bruce Grieve, Ni He, Farshad Arvin, Weilin Huang, Hanlin Niu, Joaquín Carrasco, Barry Lennox, Boyan Xu and Yang Gao and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Hujun Yin

156 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment

2022 190 citations Hujun Yin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hujun Yin United Kingdom	27	1.0k	948	273	246	233	164	2.5k
George A. Papakostas Greece	31	1.2k 1.1×	874 0.9×	146 0.5×	229 0.9×	186 0.8×	206	3.1k
Brijesh Verma Australia	29	1.4k 1.3×	1.3k 1.4×	136 0.5×	359 1.5×	112 0.5×	204	2.8k
Weijun Li China	27	1.1k 1.0×	641 0.7×	229 0.8×	185 0.8×	92 0.4×	113	2.2k
Qiaolin Ye China	30	1.5k 1.4×	974 1.0×	199 0.7×	629 2.6×	401 1.7×	153	3.2k
Ji‐Xiang Du China	27	1.3k 1.3×	1.1k 1.1×	389 1.4×	247 1.0×	134 0.6×	126	3.1k
Ruby C. Weng Taiwan	11	1.1k 1.0×	1.3k 1.4×	317 1.2×	387 1.6×	176 0.8×	24	3.2k
Jamil Ahmad Pakistan	29	2.1k 2.1×	919 1.0×	467 1.7×	111 0.5×	171 0.7×	109	4.1k
Dennis DeCoste United States	16	924 0.9×	1.0k 1.1×	157 0.6×	126 0.5×	127 0.5×	39	2.1k
Yujian Li China	18	505 0.5×	688 0.7×	237 0.9×	116 0.5×	90 0.4×	105	2.5k
Zhiwei Ye China	20	492 0.5×	704 0.7×	102 0.4×	234 1.0×	98 0.4×	211	1.8k

Countries citing papers authored by Hujun Yin

Since Specialization

Citations

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

Fields of papers citing papers by Hujun Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hujun Yin

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

Smith, William P., et al.. (2025). Simulating neutronics heating using physics-informed neural networks to resolve the temperature field. Fusion Engineering and Design. 218. 115182–115182.

Grieve, Bruce, et al.. (2025). A Survey of Methods for Addressing Imbalance Data Problems in Agriculture Applications. Remote Sensing. 17(3). 454–454. 8 indexed citations

Wang, Zihan, et al.. (2025). Application of an electronic tongue and hyperspectral imaging with a CNN-transformer fusion model for rapid detection of botanical origins of honey. Analytical Methods. 17(30). 6231–6244.

Grieve, Bruce, Siobain Duffy, José Trinidad Ascencio‐Ibáñez, et al.. (2024). Early Detection of Plant Virus Infection Using Multispectral Imaging and Machine Learning. 1 indexed citations

Keshmiri, Amir, et al.. (2024). Non-unique machine learning mapping in data-driven Reynolds-averaged turbulence models. Physics of Fluids. 36(9). 1 indexed citations

Grieve, Bruce, et al.. (2023). Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net. Computers and Electronics in Agriculture. 211. 107956–107956. 47 indexed citations

Huo, Jing, et al.. (2022). CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. IEEE Transactions on Image Processing. 31. 3347–3358. 8 indexed citations

Chen, Ziqi, Jorge R. Salas Avila, Ruochen Huang, et al.. (2021). Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 34 indexed citations

Rusu, Andrei A., et al.. (2020). Meta-Learning with Warped Gradient Descent. Research Explorer (The University of Manchester). 20 indexed citations

10.

Huo, Jing, Wenbin Li, Yinghuan Shi, Yang Gao, & Hujun Yin. (2017). WebCaricature: a benchmark for caricature face recognition. arXiv (Cornell University). 223. 15 indexed citations

11.

Yin, Hujun, et al.. (2016). Intelligent Data Engineering and Automated Learning – IDEAL 2016. Lecture notes in computer science. 7 indexed citations

12.

Yin, Hujun. (2013). Intelligent Data Engineering and Automated Learning – IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 6 indexed citations

13.

Yin, Hujun, Yi Chai, Simon X. Yang, & G.S. Mittal. (2011). Ripe Tomato Detection for Robotic Vision Harvesting Systems in Greenhouses. Transactions of the ASABE. 5 indexed citations

14.

Yin, Hujun, Wenjia Wang, & V. J. Rayward‐Smith. (2011). Intelligent Data Engineering and Automated Learning - IDEAL 2011 : 12th International Conference, Norwich, UK, September 7-9, 2011 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations

15.

Yin, Hujun. (2007). Intelligent data engineering and automated learning - IDEAL 2007 : 8th International Conference Birmingham, UK, December 16-19, 2007 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations

16.

Wang, Jun, Yi Zhang, Bao‐Liang Lu, & Hujun Yin. (2007). International Journal of Neural Systems: Introduction. International Journal of Neural Systems. 17(6). 1 indexed citations

17.

Yin, Hujun. (2007). Intelligent Data Engineering and Automated Learning - IDEAL 2007: 8th International Conference Proceedings. Research Explorer (The University of Manchester). 1 indexed citations

18.

Corchado, Emilio, et al.. (2006). Intelligent data engineering and automated learning - IDEAL 2006 : 7th International Conference Burgos, Spain, September 20-23, 2006, proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations

19.

Yang, Zhen, Richard G. Everson, & Hujun Yin. (2004). Intelligent Data Engineering and Automated Learning - IDEAL 2004: 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations

20.

Liu, Jiming, Yiu‐ming Cheung, & Hujun Yin. (2003). Intelligent data engineering and automated learning : 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003 : revised papers. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 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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