Chao He

64 total papers · 751 total citations
47 papers, 505 citations indexed

About

Chao He is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Chao He has authored 47 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Electrical and Electronic Engineering and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Chao He's work include Air Quality and Health Impacts (6 papers), Advanced Photonic Communication Systems (3 papers) and Land Use and Ecosystem Services (3 papers). Chao He is often cited by papers focused on Air Quality and Health Impacts (6 papers), Advanced Photonic Communication Systems (3 papers) and Land Use and Ecosystem Services (3 papers). Chao He collaborates with scholars based in China, Singapore and United States. Chao He's co-authors include Ronghui Guo, Shilong Pan, Yongjiu Zhao, Shasha Lu, Xingliang Guan, Minghai Pan, Fangzheng Zhang, Dan Zhu, Cihai Chen and Zhenyu Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Letters.

In The Last Decade

Chao He

42 papers receiving 489 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chao He	190	139	97	48	41	47	505
Yan Luo	203 1.1×	50 0.4×	75 0.8×	26 0.5×	27 0.7×	81	578
Bo Han	107 0.6×	62 0.4×	28 0.3×	27 0.6×	40 1.0×	52	490
Kevin Murphy	117 0.6×	148 1.1×	97 1.0×	10 0.2×	75 1.8×	46	605
Zhiqiang Li	47 0.2×	102 0.7×	44 0.5×	20 0.4×	46 1.1×	64	485
Wei Sun	196 1.0×	28 0.2×	114 1.2×	38 0.8×	20 0.5×	44	527
Ruijie Li	181 1.0×	42 0.3×	60 0.6×	60 1.3×	67 1.6×	63	525
M. Maignan	148 0.8×	47 0.3×	63 0.6×	29 0.6×	55 1.3×	39	480
Xing Huang	65 0.3×	41 0.3×	41 0.4×	26 0.5×	25 0.6×	43	486
Ding Ma	115 0.6×	39 0.3×	89 0.9×	63 1.3×	14 0.3×	67	510
Songlin Wang	152 0.8×	65 0.5×	22 0.2×	45 0.9×	16 0.4×	42	568

Countries citing papers authored by Chao He

Since Specialization

Citations

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

Fields of papers citing papers by Chao He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao He

This figure shows the co-authorship network connecting the top 25 collaborators of Chao He. A scholar is included among the top collaborators of Chao 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 Chao He. Chao 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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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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