Chenjie Cao

1.2k total citations
22 papers, 467 citations indexed

About

Chenjie Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chenjie Cao has authored 22 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chenjie Cao's work include Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Vision and Imaging (5 papers) and Imbalanced Data Classification Techniques (5 papers). Chenjie Cao is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Vision and Imaging (5 papers) and Imbalanced Data Classification Techniques (5 papers). Chenjie Cao collaborates with scholars based in China, Cayman Islands and United States. Chenjie Cao's co-authors include Yanwei Fu, Zhe Wang, Yujin Zhu, Dongdong Li, Xiangyang Xue, Chao Wen, Yinda Zhang, Zhuwen Li, Xinlei Xu and Yu–Gang Jiang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.

In The Last Decade

Chenjie Cao

19 papers receiving 456 citations

Peers

Chenjie Cao
Thomas M. Strat United States
Chih‐Wei Hsu Taiwan
B.H. Rudall United Kingdom
Daniel Berjón Spain
Francisco Morán Spain
Yoonsik Choe South Korea
Yujing Sun China
Yepeng Liu China
Thomas M. Strat United States
Chenjie Cao
Citations per year, relative to Chenjie Cao Chenjie Cao (= 1×) peers Thomas M. Strat

Countries citing papers authored by Chenjie Cao

Since Specialization
Citations

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

Fields of papers citing papers by Chenjie Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenjie Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Chenjie Cao. A scholar is included among the top collaborators of Chenjie 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 Chenjie Cao. Chenjie 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.
Wang, Yikai, Chenjie Cao, Jinhui Yu, et al.. (2025). Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency. 23237–23248.
2.
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4.
Cao, Chenjie, Jin Gao, Weiming Hu, et al.. (2024). Animate3D: Animating Any 3D Model with Multi-view Video Diffusion. 125879–125906. 1 indexed citations
5.
Fang, Xianyong, et al.. (2023). Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning. 5235–5243. 2 indexed citations
6.
Cao, Chenjie, et al.. (2023). Rethinking Optical Flow from Geometric Matching Consistent Perspective. 1337–1347. 22 indexed citations
7.
Cao, Chenjie, et al.. (2023). ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 12667–12684. 24 indexed citations
8.
Cao, Chenjie & Yanwei Fu. (2023). Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints. 12095–12105. 5 indexed citations
9.
Cao, Chenjie, et al.. (2022). Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 11348–11358. 116 indexed citations
10.
Wen, Chao, Yinda Zhang, Chenjie Cao, et al.. (2022). Pixel2Mesh++: 3D Mesh Generation and Refinement From Multi-View Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2166–2180. 18 indexed citations
11.
Li, Dongdong, et al.. (2021). Boundary‐based Fuzzy‐SVDD for one‐class classification. International Journal of Intelligent Systems. 37(3). 2266–2292. 8 indexed citations
12.
Cao, Chenjie & Yanwei Fu. (2021). Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14489–14498. 38 indexed citations
13.
Chen, Jiahao, et al.. (2020). SiBert: Enhanced Chinese Pre-trained Language Model with Sentence Insertion. Language Resources and Evaluation. 2405–2412. 2 indexed citations
14.
Wang, Zhe, Chenjie Cao, & Yujin Zhu. (2020). Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems. IEEE Transactions on Neural Networks and Learning Systems. 31(12). 5178–5191. 86 indexed citations
15.
Wang, Zhe & Chenjie Cao. (2019). Cascade interpolation learning with double subspaces and confidence disturbance for imbalanced problems. Neural Networks. 118. 17–31. 26 indexed citations
16.
Wang, Wenxuan, Yanwei Fu, Tao Chen, et al.. (2019). Comp-GAN. 211–219. 13 indexed citations
17.
Cao, Chenjie & Zhe Wang. (2018). IMCStacking: Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems. Knowledge-Based Systems. 150. 27–37. 38 indexed citations
18.
Li, Dongdong, et al.. (2018). Information entropy based sample reduction for support vector data description. Applied Soft Computing. 71. 1153–1160. 26 indexed citations
19.
Wang, Zhe, Guowei Zhang, Dongdong Li, Yujin Zhu, & Chenjie Cao. (2016). Locality sensitive discriminant matrixized learning machine. Knowledge-Based Systems. 116. 13–25. 3 indexed citations
20.
Cao, Chenjie. (2012). Sports Data Mining Technology Used in Basketball Outcome Prediction. Arrow@dit (Dublin Institute of Technology). 36(8). 1030–8. 32 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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