Cheng Chen

3.7k total citations
156 papers, 1.8k citations indexed

About

Cheng Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Cheng Chen has authored 156 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 33 papers in Artificial Intelligence and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Cheng Chen's work include Medical Image Segmentation Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced Data Storage Technologies (10 papers). Cheng Chen is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced Data Storage Technologies (10 papers). Cheng Chen collaborates with scholars based in China, United States and Singapore. Cheng Chen's co-authors include Ruoxiu Xiao, Kangneng Zhou, Zhiliang Wang, Qingsong Wei, Chundong Wang, Jun Yang, Bingsheng He, Khai Leong Yong, Jean‐Marc Odobez and Xiaoyu Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Scientific Reports.

In The Last Decade

Cheng Chen

143 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cheng Chen 455 335 321 257 225 156 1.8k
Filippo Attivissimo 405 0.9× 149 0.4× 258 0.8× 251 1.0× 584 2.6× 160 2.5k
Linga Reddy Cenkeramaddi 395 0.9× 207 0.6× 316 1.0× 393 1.5× 279 1.2× 201 2.1k
Domenico Grimaldi 195 0.4× 71 0.2× 687 2.1× 313 1.2× 647 2.9× 176 2.4k
Xin Zhang 135 0.3× 100 0.3× 93 0.3× 194 0.8× 288 1.3× 204 2.5k
Serafeim Moustakidis 142 0.3× 170 0.5× 35 0.1× 263 1.0× 227 1.0× 94 1.4k
Hongjun Wang 358 0.8× 217 0.6× 87 0.3× 316 1.2× 174 0.8× 92 1.5k
Haibin Lin 502 1.1× 82 0.2× 179 0.6× 455 1.8× 81 0.4× 18 1.2k
Xiangyang Xu 344 0.8× 55 0.2× 122 0.4× 190 0.7× 267 1.2× 182 3.3k
Yang Zhang 695 1.5× 100 0.3× 345 1.1× 534 2.1× 64 0.3× 126 2.0k
Chun‐Liang Lin 290 0.6× 56 0.2× 303 0.9× 209 0.8× 510 2.3× 218 2.7k

Countries citing papers authored by Cheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Chen. A scholar is included among the top collaborators of Cheng Chen 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 Cheng Chen. Cheng Chen 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.
Wang, Xuehua, Yan Zhong, Na Zhang, et al.. (2025). Gut microbiota: a new perspective for bioavailability of selenium and human health. npj Science of Food. 9(1). 228–228.
2.
Wu, Jiayi, Qian‐Min Ge, Ping Ying, et al.. (2024). Ocular microvascular alteration in patients with myocardial infarction—a new OCTA study. Scientific Reports. 14(1). 4552–4552. 7 indexed citations
3.
Gao, Yuan, et al.. (2024). Bus Network Adjustment Pre-Evaluation Based on Biometric Recognition and Travel Spatio-Temporal Deduction. Algorithms. 17(11). 513–513. 1 indexed citations
4.
Chen, Cheng, et al.. (2024). A Transform module to enhance lightweight attention by expanding receptive field. Expert Systems with Applications. 248. 123359–123359. 5 indexed citations
5.
Chen, Cheng, et al.. (2024). Linear semantic transformation for semi-supervised medical image segmentation. Computers in Biology and Medicine. 173. 108331–108331. 5 indexed citations
6.
Chen, Cheng, et al.. (2024). Bridging spatiotemporal feature gap for video salient object detection. Knowledge-Based Systems. 304. 112505–112505. 1 indexed citations
7.
Chen, Cheng, et al.. (2024). Design and application of pneumatic rehabilitation glove system based on brain–computer interface. Review of Scientific Instruments. 95(9). 1 indexed citations
8.
Yu, Ming-An, et al.. (2023). FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation. Computers in Biology and Medicine. 153. 106514–106514. 14 indexed citations
9.
Chen, Cheng, et al.. (2023). Cerebrovascular Segmentation in TOF-MRA with Topology Regularization Adversarial Model. 4250–4259. 2 indexed citations
10.
Chen, Cheng, et al.. (2022). LPAdaIN: Light Progressive Attention Adaptive Instance Normalization Model for Style Transfer. Electronics. 11(18). 2929–2929. 4 indexed citations
11.
12.
Guo, Yulan, Yun Wang, Longguang Wang, Zi Wang, & Cheng Chen. (2022). CVCNet: Learning Cost Volume Compression for Efficient Stereo Matching. IEEE Transactions on Multimedia. 25. 7786–7799. 4 indexed citations
13.
Chen, Cheng, Kangneng Zhou, Zhiliang Wang, & Ruoxiu Xiao. (2022). Generative Consistency for Semi-Supervised Cerebrovascular Segmentation From TOF-MRA. IEEE Transactions on Medical Imaging. 42(2). 346–353. 58 indexed citations
14.
Chen, Cheng, Kangneng Zhou, Xiaoyu Guo, et al.. (2021). An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images. IEEE Transactions on Industrial Informatics. 17(9). 6528–6538. 65 indexed citations
15.
Guo, Xiaoyu, Cheng Chen, Ke Meng, et al.. (2020). Retinal Vessel Segmentation Combined With Generative Adversarial Networks and Dense U-Net. IEEE Access. 8. 194551–194560. 38 indexed citations
16.
Xiao, Ruoxiu, Xiaoyu Guo, Cheng Chen, et al.. (2020). Open Curvature Scale Space Matching for Coronary Artery Identification in X-Ray Angiographic Images. IEEE Access. 8. 16989–17001. 2 indexed citations
17.
Tan, Tien‐En, Daniel SW Ting, Yong Liu, et al.. (2019). Artificial intelligence using a deep learning system with transfer learning to predict refractive error and myopic macular degeneration from color fundus photographs. Investigative Ophthalmology & Visual Science. 60(9). 1478–1478. 10 indexed citations
18.
Yang, Jun, Qingsong Wei, Cheng Chen, et al.. (2015). NV-Tree: reducing consistency cost for NVM-based single level systems. File and Storage Technologies. 167–181. 191 indexed citations
19.
Cheng, Wei, et al.. (2015). Accuracy evaluating method for object-based segmentation of high resolution remote sensing image. High Power Laser and Particle Beams. 27(6). 61007. 4 indexed citations
20.
Wu, Chao‐Chin & Cheng Chen. (1998). A new relaxed memory consistency model for shared-memory multiprocessors with parallel-multithreaded processing elements. Journal of information science and engineering. 14(4). 785–808. 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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