Changhua Dai

504 total citations
4 papers, 147 citations indexed

About

Changhua Dai is a scholar working on Pollution, Plant Science and Molecular Biology. According to data from OpenAlex, Changhua Dai has authored 4 papers receiving a total of 147 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pollution, 2 papers in Plant Science and 1 paper in Molecular Biology. Recurrent topics in Changhua Dai's work include Heavy metals in environment (2 papers), Heavy Metals in Plants (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Changhua Dai is often cited by papers focused on Heavy metals in environment (2 papers), Heavy Metals in Plants (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Changhua Dai collaborates with scholars based in China and Hong Kong. Changhua Dai's co-authors include Zhenyan He, Huili Yan, Wenxiu Xu, Mi Ma, Lulu Wu, Tian Zhang, Yiwei Gao, Yong‐Guan Zhu, Luyao Wang and Feng Lu and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Changhua Dai

4 papers receiving 146 citations

Peers

Countries citing papers authored by Changhua Dai

Since Specialization

Citations

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

Fields of papers citing papers by Changhua Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changhua Dai

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

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	Cross language transformation of free text into structured lobectomy surgical records from a multi center study 2025 ·Scientific Reports ·(unknown), Yi Xiao, (unknown), Huiyin Deng, Jian Huang, Yubin Zhou, Changhua Dai, Jun Wu, Dan Liu, (unknown), Chuan Xu	3
2	GWAS-assisted genomic prediction of cadmium accumulation in maize kernel with machine learning and linear statistical methods 2022 ·Journal of Hazardous Materials ·Huili Yan, (unknown), Wenxiu Xu, Changhua Dai, (unknown), Jianyin Xie, (unknown), Ting Li, Feng Wang, Yijun Yu, (unknown), (unknown), Zhenyan He	15
3	The systematic exploration of cadmium-accumulation characteristics of maize kernel in acidic soil with different pollution levels in China 2020 ·The Science of The Total Environment ·Feng Lu, Huili Yan, Changhua Dai, Wenxiu Xu, (unknown), Fan Zhang, Ting Li, (unknown), (unknown), Yijun Yu, Mi Ma, Feng Wang, Zhenyan He	45
4	Potential use of the Pteris vittata arsenic hyperaccumulation-regulation network for phytoremediation 2019 ·Journal of Hazardous Materials ·Huili Yan, Yiwei Gao, Lulu Wu, Luyao Wang, Tian Zhang, Changhua Dai, Wenxiu Xu, Feng Lu, Mi Ma, Yong‐Guan Zhu, Zhenyan He	84

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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