Xiaozhong Cao

680 total citations
24 papers, 453 citations indexed

About

Xiaozhong Cao is a scholar working on Media Technology, Ecology and Artificial Intelligence. According to data from OpenAlex, Xiaozhong Cao has authored 24 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Media Technology, 11 papers in Ecology and 8 papers in Artificial Intelligence. Recurrent topics in Xiaozhong Cao's work include Remote-Sensing Image Classification (12 papers), Remote Sensing in Agriculture (11 papers) and Advanced Image Fusion Techniques (6 papers). Xiaozhong Cao is often cited by papers focused on Remote-Sensing Image Classification (12 papers), Remote Sensing in Agriculture (11 papers) and Advanced Image Fusion Techniques (6 papers). Xiaozhong Cao collaborates with scholars based in China and United Kingdom. Xiaozhong Cao's co-authors include Shuang Liu, Zhong Zhang, Zhenyu Li, Yun Feng, Shasha Ren, Baihua Xiao, T.S. Durrani, Yanwu Zhang, Leilei Li and Zhenghua Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaozhong Cao

24 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaozhong Cao China 13 152 144 133 96 87 24 453
Yuanqing Ma China 12 216 1.4× 58 0.4× 45 0.3× 55 0.6× 72 0.8× 49 539
Qinjun Wang China 12 78 0.5× 55 0.4× 65 0.5× 95 1.0× 44 0.5× 57 460
Zhifang Yang China 10 48 0.3× 34 0.2× 114 0.9× 30 0.3× 66 0.8× 17 386
Xin Dou China 13 125 0.8× 51 0.4× 86 0.6× 50 0.5× 23 0.3× 27 483
Bitao Jiang China 9 39 0.3× 23 0.2× 185 1.4× 54 0.6× 56 0.6× 30 378
Zhixiang Wu China 10 116 0.8× 39 0.3× 78 0.6× 44 0.5× 22 0.3× 35 325
Xiaoqing Wan China 9 102 0.7× 24 0.2× 128 1.0× 24 0.3× 41 0.5× 36 355
Yi Gao China 12 27 0.2× 60 0.4× 46 0.3× 100 1.0× 21 0.2× 42 451
Yiping Xu China 11 73 0.5× 44 0.3× 163 1.2× 43 0.4× 17 0.2× 34 447
Xiaocheng Yang China 11 107 0.7× 50 0.3× 30 0.2× 35 0.4× 12 0.1× 52 368

Countries citing papers authored by Xiaozhong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhong Cao. A scholar is included among the top collaborators of Xiaozhong 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 Xiaozhong Cao. Xiaozhong 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.
Li, Zhenyu, Zhen Zhang, Xiaozhong Cao, Yun Feng, & Shasha Ren. (2023). Efficacy and Safety of PD-1/PD-L1 Inhibitors in Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer: A Systematic Review and Meta-Analysis. SHILAP Revista de lepidopterología. 50(9). 1 indexed citations
2.
Liu, Shuang, et al.. (2023). Integration Transformer for Ground-Based Cloud Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 5 indexed citations
3.
Liu, Shuang, et al.. (2022). TransCloudSeg: Ground-Based Cloud Image Segmentation With Transformer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 6121–6132. 12 indexed citations
4.
Zhang, Chong, et al.. (2022). Effectiveness of Honey on Radiation-Induced Oral Mucositis Among Patients with Head and Neck Malignancies: A Systematic Review and Meta-Analysis. Current Topics in Nutraceutical Research. 21(1). 53–59. 1 indexed citations
5.
Zhang, Zhong, et al.. (2021). Ground-Based Cloud Detection Using Multiscale Attention Convolutional Neural Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 17 indexed citations
6.
Liu, Shuang, et al.. (2021). Ground-Based Remote Sensing Cloud Classification via Context Graph Attention Network. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 21 indexed citations
7.
Li, Zhenyu, Zhen Zhang, Xiaozhong Cao, Yun Feng, & Shasha Ren. (2020). Platinum-based neoadjuvant chemotherapy for triple-negative breast cancer: a systematic review and meta-analysis. Journal of International Medical Research. 48(10). 1220763892–1220763892. 25 indexed citations
8.
Liu, Shuang, Mei Li, Zhong Zhang, Xiaozhong Cao, & T.S. Durrani. (2020). Ground‐Based Cloud Classification Using Task‐Based Graph Convolutional Network. Geophysical Research Letters. 47(5). 29 indexed citations
9.
Li, Zhenyu, Yun Feng, Zhen Zhang, Xiaozhong Cao, & Xiubo Lu. (2020). TMPO-AS1 promotes cell proliferation of thyroid cancer via sponging miR-498 to modulate TMPO. Cancer Cell International. 20(1). 294–294. 10 indexed citations
10.
Ren, Shasha, Yun Feng, Zhenyu Li, et al.. (2019). Knockdown of circDENND4C inhibits glycolysis, migration and invasion by up-regulating miR-200b/c in breast cancer under hypoxia. Journal of Experimental & Clinical Cancer Research. 38(1). 388–388. 137 indexed citations
11.
Liu, Shuang, et al.. (2019). Hierarchical Multimodal Fusion for Ground-Based Cloud Classification in Weather Station Networks. IEEE Access. 7. 85688–85695. 21 indexed citations
12.
Wang, Zhe, et al.. (2018). Cloud-Base Height Derived from a Ground-Based Infrared Sensor and a Comparison with a Collocated Cloud Radar. Journal of Atmospheric and Oceanic Technology. 35(4). 689–704. 7 indexed citations
13.
Liu, Shuang, Mei Li, Zhong Zhang, Baihua Xiao, & Xiaozhong Cao. (2018). Multimodal Ground-Based Cloud Classification Using Joint Fusion Convolutional Neural Network. Remote Sensing. 10(6). 822–822. 35 indexed citations
14.
Zhang, Zhong, et al.. (2018). Multi-View Ground-Based Cloud Recognition by Transferring Deep Visual Information. Applied Sciences. 8(5). 748–748. 10 indexed citations
15.
16.
Zhang, Zhong, et al.. (2017). Cross-Domain Ground-Based Cloud Classification Based on Transfer of Local Features and Discriminative Metric Learning. Remote Sensing. 10(1). 8–8. 7 indexed citations
17.
Li, Zhenyu, et al.. (2016). Polymorphisms in the telomerase reverse transcriptase promoter are associated with risk of breast cancer: A meta-analysis. Journal of Cancer Research and Therapeutics. 12(2). 1040–1044. 9 indexed citations
18.
Liu, Shuang, Zhong Zhang, & Xiaozhong Cao. (2015). Information integration for ground-based cloud classification using joint consistent sparse coding in heterogeneous sensor network. Signal Processing. 126. 165–172. 2 indexed citations
19.
Liu, Shuang, Zhong Zhang, Baihua Xiao, & Xiaozhong Cao. (2015). Ground-Based Cloud Detection Using Automatic Graph Cut. IEEE Geoscience and Remote Sensing Letters. 12(6). 1342–1346. 22 indexed citations
20.
Liu, Shuang, Zhong Zhang, Baihua Xiao, & Xiaozhong Cao. (2015). Learning Discriminative Features for Ground-Based Cloud Classification via Mutual Information Maximization. IEICE Transactions on Information and Systems. E98.D(7). 1422–1425. 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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