Caisheng He

773 total citations
11 papers, 197 citations indexed

About

Caisheng He is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Caisheng He has authored 11 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Caisheng He's work include Genomics and Chromatin Dynamics (8 papers), RNA and protein synthesis mechanisms (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Caisheng He is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), RNA and protein synthesis mechanisms (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Caisheng He collaborates with scholars based in China. Caisheng He's co-authors include Yangyang Deng, Zhiming Dai, Qian Xiang, Xianhua Dai, Jiang Wang, Liang‐Ru Ke, Bingzhong Jing, Kui‐Yuan Liu, Xing Lv and Meng‐Yun Qiang and has published in prestigious journals such as BMC Bioinformatics, Environmental Science and Pollution Research and BMC Genomics.

In The Last Decade

Caisheng He

11 papers receiving 190 citations

Peers

Caisheng He

MB

RNMI

AI

OTORH

CR

Sami Tabbarah Canada

Milad Mostavi United States

Shang Xue China

Yuanning Zheng United States

Guido Zuidhof United States

Piotr Kędzierawski Poland

Yujia Bao United States

Xinwei Yao United States

Yun Pang China

Thierry Chekouo United States

Sami Tabbarah Canada

Caisheng He

19 ×0.2

MB

142 ×2.2

RNMI

100 ×1.8

AI

12 ×0.3

OTORH

44 ×2.2

CR

Citations per year, relative to Caisheng He Caisheng He (= 1×) peers Sami Tabbarah

Countries citing papers authored by Caisheng He

Since Specialization

Citations

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

Fields of papers citing papers by Caisheng He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caisheng He

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

All Works

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11 of 11 papers shown

1.

Xu, Huijuan, et al.. (2022). Seasonal and vegetational variations of culturable bacteria concentrations in air from urban forest parks: a case study in Hunan, China. Environmental Science and Pollution Research. 29(19). 28933–28945. 5 indexed citations

2.

Ke, Liang‐Ru, Yishu Deng, Wei‐Xiong Xia, et al.. (2020). Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images. Oral Oncology. 110. 104862–104862. 57 indexed citations

3.

Jing, Bingzhong, Tao Zhang, Zixian Wang, et al.. (2019). A deep survival analysis method based on ranking. Artificial Intelligence in Medicine. 98. 1–9. 54 indexed citations

4.

Dai, Xianhua, Zhiming Dai, Qian Xiang, et al.. (2010). A simulation model for nucleosome distribution in the yeast genome based on integrated cross-platform positioning datasets. Mathematical and Computer Modelling. 52(11-12). 1932–1939. 1 indexed citations

5.

Dai, Xianhua, Qian Xiang, Zhiming Dai, et al.. (2010). New insights into two distinct nucleosome distributions: comparison of cross-platform positioning datasets in the yeast genome. BMC Genomics. 11(1). 33–33. 10 indexed citations

6.

Deng, Yangyang, Xianhua Dai, Qian Xiang, et al.. (2010). Genome-wide analysis of the effect of histone modifications on the coexpression of neighboring genes in Saccharomyces cerevisiae. BMC Genomics. 11(1). 550–550. 9 indexed citations

7.

Wang, Jiang, Xianhua Dai, Qian Xiang, et al.. (2010). Identifying the Combinatorial Effects of Histone Modifications by Association Rule Mining in Yeast. Evolutionary Bioinformatics. 6. 113–31. 2 indexed citations

8.

Dai, Zhiming, Xianhua Dai, Qian Xiang, et al.. (2009). Transcriptional interaction-assisted identification of dynamic nucleosome positioning. BMC Bioinformatics. 10(S1). S31–S31. 2 indexed citations

9.

Dai, Zhiming, Xianhua Dai, Qian Xiang, et al.. (2009). Two distinct modes of nucleosome modulation associated with different degrees of dependence of nucleosome positioning on the underlying DNA sequence. BMC Genomics. 10(1). 15–15. 16 indexed citations

10.

Dai, Zhiming, Xianhua Dai, Qian Xiang, et al.. (2009). Genome-wide analysis of interactions between ATP-dependent chromatin remodeling and histone modifications. BMC Genomics. 10(1). 304–304. 5 indexed citations

11.

Xiang, Qian, Xianhua Dai, Yangyang Deng, et al.. (2008). Missing value imputation for microarray gene expression data using histone acetylation information. BMC Bioinformatics. 9(1). 252–252. 36 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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