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

Zheng Cao
Comparison fields: 5 of 70
  • Oral Surgery 161
  • Radiology, Nuclear Medicine and Imaging 99
  • Biomedical Engineering 88
  • Artificial Intelligence 78
  • Periodontics 53
Yuting Guo China
Ross D. Uthoff United States
Wasit Limprasert Thailand
Andreas Maier Germany
P.L. Lin Taiwan
Patcharapon Jantana Thailand
Kritsasith Warin Thailand
Tarry Singh India
Lanzhuju Mei China
Jiameng Liu China
Yuting Guo China View profile →
Citations per field, relative to Zheng Cao
Zheng Cao · 1×
Citations per year, relative to Zheng Cao
Zheng Cao · 1×

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
# Title Journal Authors Indexed citations
1 Dental Hygienists' Influence on Oral Health Knowledge, Attitudes and Behavioural of Patients and Effectiveness on Improving Patients' Periodontal Status—Evaluations of a Hospital Based Oral Hygiene Training Program in China International Journal of Dental Hygiene Wenlin Yuan, Lili Yang et al. 0
2 A deep-learning system for diagnosing ectopic eruption Journal of Dentistry Haojie Yu, Zheng Cao et al. 0
3 AttABseq: an attention-based deep learning prediction method for antigen–antibody binding affinity changes based on protein sequences Briefings in Bioinformatics Qing Ye, Jike Wang et al. 8
4 DPML: Prior-guided multitask learning for dental object recognition on limited panoramic radiograph dataset Expert Systems with Applications Zheng Cao, Guanchen Ye et al. 8
5 STFN: Spatio-Temporal Fusion Network to Detect Ethereum Phishing Scams Peng Qian, Yanbin Wang et al. 0
6 SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning SHILAP Revista de lepidopterología Zheng Cao, Yuansheng Huang et al. 2
7 A Robust Shape-Aware Rib Fracture Detection and Segmentation Framework With Contrastive Learning IEEE Transactions on Multimedia Zheng Cao, Liming Xu et al. 31
8 A hybrid muti-dimension normalization layers improved ResNet based fault diagnosis method of rolling bearing Changbo He, Yongbin Liu et al. 1
9 CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image Neural Computing and Applications Haihua Zhu, Zheng Cao et al. 85
10 Automatic segmentation and detection of ectopic eruption of first permanent molars on panoramic radiographs based on nnU‐Net International Journal of Paediatric Dentistry Haihua Zhu, Haojie Yu et al. 13
11 A two-stage deep learning architecture for radiographic staging of periodontal bone loss BMC Oral Health Linhong Jiang, Zheng Cao et al. 76
12 A Deep Learning Approach for Detecting Colorectal Cancer via Raman Spectra SHILAP Revista de lepidopterología Zheng Cao, Xiang Pan et al. 37
13 Cascaded SE-ResUnet for segmentation of thoracic organs at risk Neurocomputing Zheng Cao, Biwen Lei et al. 33
14 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) Zheng Cao, Haochao Ying et al. 2
15 Multi-modality fusion learning for the automatic diagnosis of optic neuropathy Pattern Recognition Letters Zheng Cao, Chuan‐bin Sun et al. 15

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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