Jucheng Yang

1.7k total citations
82 papers, 1.1k citations indexed

About

Jucheng Yang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jucheng Yang has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 19 papers in Signal Processing and 19 papers in Artificial Intelligence. Recurrent topics in Jucheng Yang's work include Biometric Identification and Security (18 papers), Face and Expression Recognition (16 papers) and Machine Learning and ELM (9 papers). Jucheng Yang is often cited by papers focused on Biometric Identification and Security (18 papers), Face and Expression Recognition (16 papers) and Machine Learning and ELM (9 papers). Jucheng Yang collaborates with scholars based in China, South Korea and Australia. Jucheng Yang's co-authors include Dong Sun Park, Sook Yoon, Chuanlei Zhang, Shan Juan Xie, Rick S. Blum, Naixue Xiong, Song Wang, Chen Jia, Shanwen Zhang and Athanasios V. Vasilakos and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Jucheng Yang

80 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
Jucheng Yang China	18	408	366	185	185	180	82	1.1k
Kashif Shaheed China	15	348 0.9×	247 0.7×	93 0.5×	52 0.3×	178 1.0×	26	832
Chih‐Hsien Hsia Taiwan	20	895 2.2×	322 0.9×	128 0.7×	33 0.2×	125 0.7×	170	1.5k
Sudeep D. Thepade India	18	1.4k 3.3×	397 1.1×	162 0.9×	50 0.3×	254 1.4×	258	1.9k
Surbhi Gupta India	14	293 0.7×	109 0.3×	140 0.8×	54 0.3×	135 0.8×	39	750
Siwei Luo China	12	426 1.0×	146 0.4×	75 0.4×	18 0.1×	119 0.7×	105	759
Lamiaa A. Elrefaei Egypt	16	443 1.1×	209 0.6×	149 0.8×	25 0.1×	162 0.9×	54	828
Bin Zhao China	23	1.5k 3.6×	615 1.7×	53 0.3×	74 0.4×	365 2.0×	93	1.9k
Sheli Sinha Chaudhuri India	19	656 1.6×	115 0.3×	34 0.2×	128 0.7×	217 1.2×	99	1.3k
Jaya Sil India	16	270 0.7×	64 0.2×	95 0.5×	338 1.8×	327 1.8×	101	1.1k
Francesc J. Ferri Spain	18	539 1.3×	186 0.5×	75 0.4×	57 0.3×	537 3.0×	78	1.1k

Countries citing papers authored by Jucheng Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jucheng Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jucheng Yang

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

Yang, Jucheng, et al.. (2025). Prior knowledge-guided multi-information graph convolutional network for driver drowsiness detection. Expert Systems with Applications. 275. 127028–127028. 1 indexed citations

Zhang, Xiaodong, Jucheng Yang, Ming Fan, et al.. (2025). On-Demand Scenario Generation for Testing Automated Driving Systems. Proceedings of the ACM on software engineering.. 2(FSE). 86–105. 1 indexed citations

Tian, Jinfan, et al.. (2025). DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models. 10100–10107.

Yang, Jucheng, et al.. (2025). An Efficient Multi-Scale Attention two-stream inflated 3D ConvNet network for cattle behavior recognition. Computers and Electronics in Agriculture. 232. 110101–110101. 2 indexed citations

Fuentes, Alvaro, et al.. (2025). Utilizing farm knowledge for indoor precision livestock farming: Time-domain adaptation of cattle face recognition. Computers and Electronics in Agriculture. 234. 110301–110301. 5 indexed citations

Xu, Mingle, et al.. (2024). Plant disease recognition datasets in the age of deep learning: challenges and opportunities. Frontiers in Plant Science. 15. 1452551–1452551. 8 indexed citations

Lin, Liang, et al.. (2024). A multi-aware graph convolutional network for driver drowsiness detection. Knowledge-Based Systems. 305. 112643–112643. 2 indexed citations

Wang, Song, et al.. (2023). A Composite Network Model for Face Super-Resolution with Multi-Order Head Attention Facial Priors. Pattern Recognition. 139. 109503–109503. 7 indexed citations

Xu, Mingle, Hyongsuk Kim, Jucheng Yang, et al.. (2023). Embracing limited and imperfect training datasets: opportunities and challenges in plant disease recognition using deep learning. Frontiers in Plant Science. 14. 1225409–1225409. 24 indexed citations

10.

Wang, Yuan, et al.. (2022). A multi-scenario text generation method based on meta reinforcement learning. Pattern Recognition Letters. 165. 47–54. 4 indexed citations

11.

Xu, Mingle, Sook Yoon, Alvaro Fuentes, Jucheng Yang, & Dong Sun Park. (2022). Style-Consistent Image Translation: A Novel Data Augmentation Paradigm to Improve Plant Disease Recognition. Frontiers in Plant Science. 12. 773142–773142. 40 indexed citations

12.

Zhang, Chuanlei, et al.. (2020). Efficient Plant Diseases Recognition based on Modified Residual Neural Network and Transfer Learning. 80–85.

13.

Yang, Jucheng, et al.. (2020). User Perceptions of Virtual Hospital Apps in China: Systematic Search. JMIR mhealth and uhealth. 8(8). e19487–e19487. 9 indexed citations

14.

Zhang, Chuanlei, et al.. (2017). Apple leaf disease identification using genetic algorithm and correlation based feature selection method. International journal of agricultural and biological engineering. 10(2). 74–83. 123 indexed citations

15.

Yang, Jucheng, et al.. (2017). Synchronized Blasting Demolition of Workshop and Chimney Under Complicated Conditions. The Open Civil Engineering Journal. 11(1). 726–736. 1 indexed citations

16.

Zhao, Tingting, et al.. (2015). Regularized Policy Gradients -- Direct Variance Reduction in Policy Gradient Estimation. Asian Conference on Machine Learning. 115(323). 115–122. 2 indexed citations

17.

Zhang, Chuanlei, Yingke Lei, Shanwen Zhang, Jucheng Yang, & Yihua Hu. (2014). Orthogonal discriminant neighborhood analysis for tumor classification. Soft Computing. 20(1). 263–271. 2 indexed citations

18.

Yang, Yong, Dong Sun Park, Shuying Huang, & Jucheng Yang. (2010). Fusion of CT and MR images using an improved wavelet based method. Journal of X-Ray Science and Technology. 18(2). 157–170. 3 indexed citations

19.

Yang, Jucheng, et al.. (2008). Fingerprint Matching Using Global Minutiae and Invariant Moments. 599–602. 12 indexed citations

20.

Yang, Jucheng & Dongsun Park. (2005). Detecting region-of-interest (ROI) in digital mammogram by using morphological bandpass filter. 38. 1279–1282. 5 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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