Yong Cheng

1.8k total citations
55 papers, 864 citations indexed

About

Yong Cheng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yong Cheng has authored 55 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Yong Cheng's work include Face and Expression Recognition (11 papers), Advanced Image Fusion Techniques (8 papers) and Video Surveillance and Tracking Methods (8 papers). Yong Cheng is often cited by papers focused on Face and Expression Recognition (11 papers), Advanced Image Fusion Techniques (8 papers) and Video Surveillance and Tracking Methods (8 papers). Yong Cheng collaborates with scholars based in China, Hong Kong and United States. Yong Cheng's co-authors include Qiang Yang, Yang Liu, Tianjian Chen, Zuoyong Li, Yan Kang, Han Yu, Guanghai Liu, Yong Xu, Chuancai Liu and Cairong Zhao and has published in prestigious journals such as Scientific Reports, Communications of the ACM and The Journal of the Acoustical Society of America.

In The Last Decade

Yong Cheng

47 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Cheng China 15 434 364 111 85 75 55 864
Zhifei Zhang United States 10 882 2.0× 498 1.4× 142 1.3× 87 1.0× 84 1.1× 20 1.4k
Alexis Battle United States 5 688 1.6× 481 1.3× 94 0.8× 71 0.8× 59 0.8× 7 1.1k
Yanming Zhu Australia 12 390 0.9× 178 0.5× 42 0.4× 135 1.6× 96 1.3× 23 734
Andreas Veit United States 14 613 1.4× 646 1.8× 73 0.7× 60 0.7× 29 0.4× 21 1.3k
Yuan Dong China 13 363 0.8× 403 1.1× 35 0.3× 42 0.5× 51 0.7× 100 833
Med Salim Bouhlel Tunisia 16 262 0.6× 577 1.6× 85 0.8× 50 0.6× 58 0.8× 178 1.0k
Adrian Popescu France 17 512 1.2× 504 1.4× 27 0.2× 138 1.6× 147 2.0× 114 1.2k
Gabriel Bender United States 8 408 0.9× 415 1.1× 28 0.3× 42 0.5× 75 1.0× 18 703

Countries citing papers authored by Yong Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Yong Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Cheng. A scholar is included among the top collaborators of Yong Cheng 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 Yong Cheng. Yong Cheng 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.
Pi, Dawei, et al.. (2025). Drivable Area Detection Method in Dark Unstructured-Roads Based on CNN Data Fusion With Surface Normal Estimation. IEEE Transactions on Intelligent Transportation Systems. 26(6). 8694–8706. 1 indexed citations
2.
Wang, Xuelian, et al.. (2025). Machine learning predicts lipid emulsion stability in parenteral nutrition using multi-laboratory literature data. Frontiers in Nutrition. 12. 1668464–1668464.
3.
Lin, Shibin, et al.. (2024). Automatic elimination of invalid impact-echo signals for detecting delamination in concrete bridge decks based on deep learning. Developments in the Built Environment. 19. 100521–100521. 1 indexed citations
4.
Huang, Zimo, Bo Li, Yong Cheng, & Jinman Kim. (2024). Odontogenic cystic lesion segmentation on cone-beam CT using an auto-adapting multi-scaled UNet. Frontiers in Oncology. 14. 1379624–1379624. 3 indexed citations
5.
Cheng, Yong, et al.. (2024). Medical image segmentation with UNet-based multi-scale context fusion. Scientific Reports. 14(1). 17 indexed citations
6.
Cheng, Yong, et al.. (2023). A Single Image Derain Method Based on Residue Channel Decomposition in Edge Computing. Intelligent Automation & Soft Computing. 37(2). 1469–1482.
7.
Fu, Fangcheng, et al.. (2022). BlindFL: Vertical Federated Machine Learning without Peeking into Your Data. Proceedings of the 2022 International Conference on Management of Data. 1316–1330. 39 indexed citations
8.
Wang, Jun, et al.. (2021). Survey on the Loss Function of Deep Learning in Face Recognition. 3(1). 29–45. 3 indexed citations
9.
Cheng, Yong, et al.. (2020). FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 23(2). 1543–1553. 19 indexed citations
10.
Cheng, Yong, et al.. (2020). Chinese Grammatical Error Detection Based on BERT Model. 108–113. 2 indexed citations
11.
Liu, Yang, Yan Kang, Liping Li, et al.. (2019). A Communication Efficient Vertical Federated Learning Framework.. arXiv (Cornell University). 31 indexed citations
12.
Cheng, Yong, et al.. (2019). Automatically Grading Text Difficulty with Multiple Features. Shuju fenxi yu zhishi faxian. 3(7). 103–112. 2 indexed citations
13.
Cheng, Yong. (2019). Joint Training for Neural Machine Translation. Springer theses. 14 indexed citations
14.
Cheng, Yong, et al.. (2017). Directional Illumination Estimation Sets and Multilevel Matching Metric for Illumination-Robust Face Recognition. IEEE Access. 5. 25835–25845. 16 indexed citations
15.
Li, Zuoyong, et al.. (2015). Modified Adaptive Gaussian Filter for Removal of Salt and Pepper Noise. KSII Transactions on Internet and Information Systems. 9(8). 2928–2947. 3 indexed citations
16.
Cheng, Yong, et al.. (2014). Facial expression recognition algorithm using LGC based on horizontal and diagonal prior principle. Optik. 125(16). 4186–4189. 39 indexed citations
17.
Zhao, Qi, Chengjie Sun, Bingquan Liu, & Yong Cheng. (2010). Learning to Detect Hedges and their Scope Using CRF. 100–105. 5 indexed citations
18.
Li, Zuoyong, Yong Cheng, Chuancai Liu, & Cairong Zhao. (2010). Minimum Standard Deviation Difference-Based Thresholding. 664–667. 5 indexed citations
19.
Li, Zuoyong, Chuancai Liu, & Yong Cheng. (2008). A new image thresholding method based on isoperimetric ratios. 13. 724–727. 1 indexed citations
20.
Cheng, Yong. (2006). Similarity-Based Dynamic Multi-Dimension Concept Mapping Algorithm. Journal of Chinese Computer Systems. 3 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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