Haixia Yan

123 total papers · 905 total citations
84 papers, 606 citations indexed

About

Haixia Yan is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Haixia Yan has authored 84 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Complementary and alternative medicine, 24 papers in Cardiology and Cardiovascular Medicine and 24 papers in Biomedical Engineering. Recurrent topics in Haixia Yan's work include Traditional Chinese Medicine Studies (25 papers), Non-Invasive Vital Sign Monitoring (19 papers) and Heart Rate Variability and Autonomic Control (16 papers). Haixia Yan is often cited by papers focused on Traditional Chinese Medicine Studies (25 papers), Non-Invasive Vital Sign Monitoring (19 papers) and Heart Rate Variability and Autonomic Control (16 papers). Haixia Yan collaborates with scholars based in China, United States and Japan. Haixia Yan's co-authors include Rui Guo, Jianjun Yan, Yiqin Wang, Yiqin Wang, Linxi Dong, Chunming Xia, Fufeng Li, Gaofeng Wang, Xichuan Yang and Rui Yin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Frontiers in Plant Science.

In The Last Decade

Haixia Yan

79 papers receiving 591 citations

Author Peers

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

Author						Papers	Cites
Haixia Yan	160	139	137	105	52	84	606
Henrique Silva	98 0.6×	61 0.4×	18 0.1×	82 0.8×	7 0.1×	51	671
Yiqin Wang	173 1.1×	108 0.8×	92 0.7×	63 0.6×	21 0.4×	45	511
Xitian Pi	227 1.4×	21 0.2×	92 0.7×	143 1.4×	126 2.4×	40	602
Chunming Xia	204 1.3×	102 0.7×	34 0.2×	63 0.6×	30 0.6×	98	655
Sheng‐Chieh Huang	121 0.8×	14 0.1×	43 0.3×	137 1.3×	29 0.6×	69	589
Chuang Zhang	45 0.3×	29 0.2×	34 0.2×	49 0.5×	34 0.7×	69	675
Shun‐Chi Wu	61 0.4×	39 0.3×	41 0.3×	111 1.1×	14 0.3×	51	612
Chuang-Chien Chiu	178 1.1×	186 1.3×	19 0.1×	184 1.8×	45 0.9×	31	670
Yan Yang	28 0.2×	62 0.4×	19 0.1×	113 1.1×	17 0.3×	33	694
Zhen	91 0.6×	18 0.1×	25 0.2×	12 0.1×	21 0.4×	143	655

Countries citing papers authored by Haixia Yan

Since Specialization

Citations

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

Fields of papers citing papers by Haixia Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixia Yan

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