Yan Cao

1.3k total citations
33 papers, 907 citations indexed

About

Yan Cao is a scholar working on Analytical Chemistry, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yan Cao has authored 33 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Analytical Chemistry, 12 papers in Biomedical Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yan Cao's work include Spectroscopy and Chemometric Analyses (14 papers), Advanced Chemical Sensor Technologies (8 papers) and Smart Agriculture and AI (5 papers). Yan Cao is often cited by papers focused on Spectroscopy and Chemometric Analyses (14 papers), Advanced Chemical Sensor Technologies (8 papers) and Smart Agriculture and AI (5 papers). Yan Cao collaborates with scholars based in China, United States and United Kingdom. Yan Cao's co-authors include Kunshan Yao, Min Xu, Jun Sun, Xin Zhou, Raimond L. Winslow, Laurent Younès, Michael I. Miller, Jiehong Cheng, Jun Sun and Yan Tian and has published in prestigious journals such as Food Chemistry, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Yan Cao

29 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Cao China 18 321 178 174 135 131 33 907
Knut Kvaal Norway 22 268 0.8× 340 1.9× 148 0.9× 60 0.4× 101 0.8× 50 1.3k
Raimund Leitner Austria 14 211 0.7× 180 1.0× 119 0.7× 68 0.5× 41 0.3× 50 669
J.M. Prats-Montalbán Spain 19 531 1.7× 183 1.0× 281 1.6× 94 0.7× 42 0.3× 55 1.1k
David Nilsson Sweden 16 203 0.6× 125 0.7× 41 0.2× 152 1.1× 161 1.2× 35 942
Madhusudan G. Lanjewar India 15 201 0.6× 100 0.6× 187 1.1× 59 0.4× 94 0.7× 33 577
Atul Bansal India 18 400 1.2× 141 0.8× 519 3.0× 186 1.4× 152 1.2× 59 1.2k
Jinglu Tan United States 19 138 0.4× 103 0.6× 390 2.2× 231 1.7× 53 0.4× 68 1.3k

Countries citing papers authored by Yan Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yan Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Cao. A scholar is included among the top collaborators of Yan Cao 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 Yan Cao. Yan Cao 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.
Huang, Yuhao, Allan Chang, Haoran Dou, et al.. (2025). Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound. Medical Image Analysis. 102. 103552–103552. 1 indexed citations
2.
Cao, Yan, Yi Zhang, Yingjie Lin, & Kaijun Wu. (2025). Dunhuang Art Style Transfer via Hierarchical Vision Transformer and Color Consistency Constraints. IEEE Transactions on Consumer Electronics. 71(2). 3240–3251.
3.
Xing, Tao, Yan Cao, Yanhui Jiang, et al.. (2025). Enhancing lesion detection in automated breast ultrasound using unsupervised multi-view contrastive learning with 3D DETR. Medical Image Analysis. 101. 103466–103466.
4.
5.
Zhou, Xin, Chunjiang Zhao, Jun Sun, et al.. (2022). A deep learning method for predicting lead content in oilseed rape leaves using fluorescence hyperspectral imaging. Food Chemistry. 409. 135251–135251. 70 indexed citations
6.
Yao, Kunshan, Jun Sun, Chen Chen, et al.. (2022). Visualization research of egg freshness based on hyperspectral imaging and binary competitive adaptive reweighted sampling. Infrared Physics & Technology. 127. 104414–104414. 25 indexed citations
7.
Wang, Simin, et al.. (2022). Identification of red jujube varieties based on hyperspectral imaging technology combined with CARS‐IRIV and SSA‐SVM. Journal of Food Process Engineering. 45(10). 29 indexed citations
8.
Yao, Kunshan, Jun Sun, Min Xu, et al.. (2022). Non-destructive detection of egg qualities based on hyperspectral imaging. Journal of Food Engineering. 325. 111024–111024. 79 indexed citations
9.
Cheng, Jiehong, Jun Sun, Kunshan Yao, Min Xu, & Yan Cao. (2021). A variable selection method based on mutual information and variance inflation factor. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 268. 120652–120652. 162 indexed citations
10.
Zhou, Xin, et al.. (2021). Classification of heavy metal Cd stress in lettuce leaves based on WPCA algorithm and fluorescence hyperspectral technology. Infrared Physics & Technology. 119. 103936–103936. 19 indexed citations
11.
Yao, Kunshan, Jun Sun, Min Xu, et al.. (2021). Nondestructive detection for Panax notoginseng powder grades based on hyperspectral imaging technology combined with CARS‐PCA and MPA‐LSSVM. Journal of Food Process Engineering. 44(7). 29 indexed citations
12.
Cao, Yan, et al.. (2021). Nondestructive detection of lead content in oilseed rape leaves based on MRF‐HHO‐SVR and hyperspectral technology. Journal of Food Process Engineering. 44(9). 17 indexed citations
13.
Sun, Jun, Yan Cao, Xin Zhou, et al.. (2020). Detection for lead pollution level of lettuce leaves based on deep belief network combined with hyperspectral image technology. Journal of Food Safety. 41(1). 27 indexed citations
14.
Li, Dawei, et al.. (2019). An Integrated Image Filter for Enhancing Change Detection Results. IEEE Access. 7. 91034–91051. 3 indexed citations
15.
Li, Dawei, et al.. (2018). Leaf Segmentation on Dense Plant Point Clouds with Facet Region Growing. Sensors. 18(11). 3625–3625. 34 indexed citations
16.
Liu, Cheng‐Lin, et al.. (2011). Motion States Recognition System Based on Ultrasound for Automatic Door Management. 30. 11–15. 1 indexed citations
17.
Yousefi, Siamak, et al.. (2010). Facial expression recognition based on diffeomorphic matching. 56. 4549–4552. 9 indexed citations
18.
Cao, Yan, et al.. (2010). Probabilistic interactive segmentation using multiphase level sets. 23. 141–144. 1 indexed citations
19.
Cao, Yan, Michael I. Miller, Susumu Mori, Raimond L. Winslow, & Laurent Younès. (2006). Diffeomorphic Matching of Diffusion Tensor Images. PubMed. 2006. 67–67. 55 indexed citations
20.
Cao, Yan, Michael I. Miller, Raimond L. Winslow, & Laurent Younès. (2005). Large deformation diffeomorphic metric mapping of vector fields. IEEE Transactions on Medical Imaging. 24(9). 1216–1230. 119 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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