Zheng Cao

471 total citations
15 papers, 311 citations indexed

About

Zheng Cao is a scholar working on Oral Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Zheng Cao has authored 15 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oral Surgery, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Zheng Cao's work include Dental Radiography and Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Dental Research and COVID-19 (2 papers). Zheng Cao is often cited by papers focused on Dental Radiography and Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Dental Research and COVID-19 (2 papers). Zheng Cao collaborates with scholars based in China, United States and South Korea. Zheng Cao's co-authors include Haihua Zhu, Jian Wu, Honghao Gao, Danny Z. Chen, Guanchen Ye, Fuli Wu, Linhong Jiang, Liming Xu, Xiang Pan and Shiyuan Hua and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Zheng Cao

12 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheng Cao China 9 161 99 88 78 53 15 311
Yuting Guo China 9 39 0.2× 144 1.5× 47 0.5× 107 1.4× 19 0.4× 25 297
Ross D. Uthoff United States 6 44 0.3× 112 1.1× 60 0.7× 143 1.8× 82 1.5× 9 299
Wasit Limprasert Thailand 7 125 0.8× 112 1.1× 56 0.6× 142 1.8× 71 1.3× 18 348
Andreas Maier Germany 2 38 0.2× 140 1.4× 25 0.3× 119 1.5× 44 0.8× 3 269
P.L. Lin Taiwan 8 228 1.4× 62 0.6× 96 1.1× 65 0.8× 33 0.6× 18 331
Patcharapon Jantana Thailand 5 125 0.8× 111 1.1× 53 0.6× 135 1.7× 71 1.3× 7 299
Kritsasith Warin Thailand 7 139 0.9× 128 1.3× 57 0.6× 157 2.0× 74 1.4× 19 351
Tarry Singh India 4 184 1.1× 49 0.5× 60 0.7× 40 0.5× 30 0.6× 8 294
Lanzhuju Mei China 4 153 1.0× 79 0.8× 81 0.9× 60 0.8× 14 0.3× 9 226
Jiameng Liu China 7 147 0.9× 78 0.8× 85 1.0× 32 0.4× 9 0.2× 14 279

Countries citing papers authored by Zheng Cao

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Cao. A scholar is included among the top collaborators of Zheng 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 Zheng Cao. Zheng Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
2.
Yu, Haojie, et al.. (2024). A deep-learning system for diagnosing ectopic eruption. Journal of Dentistry. 152. 105399–105399.
3.
Ye, Qing, Jike Wang, Zheng Cao, et al.. (2024). AttABseq: an attention-based deep learning prediction method for antigen–antibody binding affinity changes based on protein sequences. Briefings in Bioinformatics. 25(4). 8 indexed citations
4.
Cao, Zheng, Guanchen Ye, Hongxia Xu, et al.. (2024). DPML: Prior-guided multitask learning for dental object recognition on limited panoramic radiograph dataset. Expert Systems with Applications. 254. 124446–124446. 8 indexed citations
5.
6.
Cao, Zheng, Yuansheng Huang, Jian Wu, et al.. (2023). SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning. SHILAP Revista de lepidopterología. 3(12). 3446–3461. 2 indexed citations
7.
Cao, Zheng, Liming Xu, Danny Z. Chen, Honghao Gao, & Jian Wu. (2023). A Robust Shape-Aware Rib Fracture Detection and Segmentation Framework With Contrastive Learning. IEEE Transactions on Multimedia. 25. 1584–1591. 31 indexed citations
8.
9.
Zhu, Haihua, et al.. (2022). CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image. Neural Computing and Applications. 35(22). 16051–16059. 85 indexed citations
10.
Zhu, Haihua, et al.. (2022). Automatic segmentation and detection of ectopic eruption of first permanent molars on panoramic radiographs based on nnU‐Net. International Journal of Paediatric Dentistry. 32(6). 785–792. 13 indexed citations
11.
Jiang, Linhong, et al.. (2022). A two-stage deep learning architecture for radiographic staging of periodontal bone loss. BMC Oral Health. 22(1). 106–106. 76 indexed citations
12.
Cao, Zheng, Xiang Pan, Hongyun Yu, et al.. (2022). A Deep Learning Approach for Detecting Colorectal Cancer via Raman Spectra. SHILAP Revista de lepidopterología. 2022. 9872028–9872028. 37 indexed citations
13.
Cao, Zheng, Biwen Lei, Haochao Ying, et al.. (2021). Cascaded SE-ResUnet for segmentation of thoracic organs at risk. Neurocomputing. 453. 357–368. 33 indexed citations
14.
Cao, Zheng, et al.. (2021). Full Scale Attention for Automated COVID-19 Diagnosis from CT Images. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3213–3216. 2 indexed citations
15.
Cao, Zheng, Chuan‐bin Sun, Wenzhe Wang, et al.. (2020). Multi-modality fusion learning for the automatic diagnosis of optic neuropathy. Pattern Recognition Letters. 142. 58–64. 15 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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