Keyang Cheng

432 total citations
45 papers, 255 citations indexed

About

Keyang Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Keyang Cheng has authored 45 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Keyang Cheng's work include Video Surveillance and Tracking Methods (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Neural Network Applications (8 papers). Keyang Cheng is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Neural Network Applications (8 papers). Keyang Cheng collaborates with scholars based in China, United Kingdom and Japan. Keyang Cheng's co-authors include Maozhen Li, Yongzhao Zhan, Xiaoyang Tan, Lei Cui, Man Qi, Shi Qiu, Kenli Li, Fei Tao, Yi Ding and Shaohua Wan and has published in prestigious journals such as IEEE Access, Fuel and IEEE Transactions on Industrial Informatics.

In The Last Decade

Keyang Cheng

39 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keyang Cheng China 9 135 57 29 21 19 45 255
Hussam Qassim United States 3 139 1.0× 100 1.8× 41 1.4× 20 1.0× 15 0.8× 4 348
Валентина Кустикова Russia 4 130 1.0× 61 1.1× 29 1.0× 17 0.8× 10 0.5× 7 267
Matthieu Cord France 6 105 0.8× 73 1.3× 19 0.7× 22 1.0× 11 0.6× 9 234
Mohammed Ahmed Talab Malaysia 7 101 0.7× 49 0.9× 26 0.9× 18 0.9× 10 0.5× 10 260
Huiying Xu China 11 138 1.0× 67 1.2× 21 0.7× 35 1.7× 11 0.6× 40 298
Mighty Abra Ayidzoe Ghana 7 131 1.0× 141 2.5× 25 0.9× 25 1.2× 17 0.9× 17 422
Patrick Kwabena Mensah Ghana 7 117 0.9× 119 2.1× 23 0.8× 21 1.0× 14 0.7× 27 371
Suranjana Samanta India 6 117 0.9× 93 1.6× 38 1.3× 35 1.7× 16 0.8× 22 284
Mushtaq Ali Pakistan 11 202 1.5× 87 1.5× 43 1.5× 27 1.3× 14 0.7× 33 386
Yang Hong China 10 126 0.9× 39 0.7× 39 1.3× 14 0.7× 31 1.6× 34 316

Countries citing papers authored by Keyang Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Keyang Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyang Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Keyang Cheng. A scholar is included among the top collaborators of Keyang 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 Keyang Cheng. Keyang 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.
Memon, Bilal Ahmed, et al.. (2025). Forecasting Gold and Platinum prices with an enhanced GRU model using multi-headed attention and skip connection. Mineral Economics. 38(4). 891–910. 1 indexed citations
2.
3.
Cheng, Keyang, et al.. (2024). Cross-Block Sparse Class Token Contrast for Weakly Supervised Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13004–13015. 1 indexed citations
4.
Ye, Xiaofang, et al.. (2024). Light-Field Optimization of Deep-Ultraviolet LED Modules for Efficient Microbial Inactivation. Coatings. 14(5). 568–568. 1 indexed citations
5.
Tian, Qing, et al.. (2024). Enhancing Open-Set Domain Adaptation through Optimal Transport and Adversarial Learning. Neural Networks. 182. 106907–106907.
6.
Zou, W.Y., et al.. (2024). Person re‐identification via deep compound eye network and pose repair module. IET Computer Vision. 18(6). 826–841. 1 indexed citations
7.
Cheng, Keyang, et al.. (2023). Sonar image garbage detection via global despeckling and dynamic attention graph optimization. Neurocomputing. 529. 152–165. 21 indexed citations
8.
Wang, Liangmin, et al.. (2023). FlowMFD: Characterisation and classification of tor traffic using MFD chromatographic features and spatial–temporal modelling. IET Information Security. 17(4). 598–615. 2 indexed citations
9.
Cheng, Keyang, et al.. (2023). An Edge Computing Algorithm Based on Multi-Level Star Sensor Cloud. Computer Modeling in Engineering & Sciences. 136(2). 1643–1659. 1 indexed citations
10.
Cheng, Keyang, et al.. (2022). Tiny Object Detection via Regional Cross Self-Attention Network. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 8984–8996. 11 indexed citations
11.
Cheng, Keyang, et al.. (2021). Video Stabilization via Prediction with Time‐Series Network and Image Inpainting with Pyramid Fusion. Chinese Journal of Electronics. 30(6). 1103–1110. 2 indexed citations
12.
Qiu, Shi, et al.. (2020). A moving vehicle tracking algorithm based on deep learning. Journal of Ambient Intelligence and Humanized Computing. 7 indexed citations
13.
14.
Tao, Fei, Keyang Cheng, & Jianming Zhang. (2018). Pedestrian Re-identification Based on Hierarchical Attributes Learning via Parallel Stochastic Gradient Descent. 375–380. 1 indexed citations
15.
Cheng, Keyang, et al.. (2017). Sparse representations based distributed attribute learning for person re-identification. Multimedia Tools and Applications. 76(23). 25015–25037. 6 indexed citations
16.
Cheng, Keyang, Yongzhao Zhan, & Man Qi. (2016). AL‐DDCNN: a distributed crossing semantic gap learning for person re‐identification. Concurrency and Computation Practice and Experience. 29(3). 9 indexed citations
17.
Cheng, Keyang, et al.. (2016). A novel improved ViBe algorithm to accelerate the ghost suppression. 1692–1698. 2 indexed citations
18.
Cheng, Keyang, Qirong Mao, & Yongzhao Zhan. (2013). Pedestrian Detection Based on Sparse and Low-Rank Matrix Decomposition. TELKOMNIKA Indonesian Journal of Electrical Engineering. 12(2). 2 indexed citations
19.
Zhan, Yongzhao, et al.. (2010). A New Classifier for Facial Expression Recognition: Fuzzy Buried Markov Model. Journal of Computer Science and Technology. 25(3). 641–650. 6 indexed citations
20.
Cheng, Keyang, et al.. (1988). A simplified data form conversion method from contour line surface model to mesh surface model. Journal of information processing. 11(2). 105–111. 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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