Hai-Yan Kong

33 total papers · 444 total citations
26 papers, 381 citations indexed

About

Hai-Yan Kong is a scholar working on Biomaterials, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Hai-Yan Kong has authored 26 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 8 papers in Biomedical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Hai-Yan Kong's work include Electrospun Nanofibers in Biomedical Applications (8 papers), Electrohydrodynamics and Fluid Dynamics (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Hai-Yan Kong is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (8 papers), Electrohydrodynamics and Fluid Dynamics (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Hai-Yan Kong collaborates with scholars based in China. Hai-Yan Kong's co-authors include Ji‐Huan He, Hao Dou, Chao Feng, Naeem Faraz, Liang Wang, Ruirui Yang, Rouxi Chen, Qiaoling Chen, Mingsheng Hu and Ji‐Huan He and has published in prestigious journals such as Journal of Controlled Release, Carbohydrate Polymers and Dyes and Pigments.

In The Last Decade

Hai-Yan Kong

24 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Hai-Yan Kong 169 163 70 62 61 26 381
P. Singh 105 0.6× 27 0.2× 16 0.2× 79 1.3× 26 0.4× 18 431
Qiwen Huang 70 0.4× 20 0.1× 19 0.3× 37 0.6× 36 0.6× 24 369
Meng Li 87 0.5× 14 0.1× 100 1.4× 33 0.5× 145 2.4× 42 419
Xin Wei 101 0.6× 65 0.4× 13 0.2× 7 0.1× 5 0.1× 30 403
Lin Xu 73 0.4× 55 0.3× 2 0.0× 49 0.8× 87 1.4× 43 391
Siu-Siu Guo 103 0.6× 11 0.1× 15 0.2× 47 0.8× 30 0.5× 27 420
Ling Peng 114 0.7× 80 0.5× 1 0.0× 20 0.3× 145 2.4× 29 369
Suzan J. Obaiys 82 0.5× 58 0.4× 16 0.2× 102 1.6× 27 0.4× 32 360
Michael Gevelber 104 0.6× 116 0.7× 33 0.5× 89 1.5× 39 407
Laurent Mahéo 46 0.3× 23 0.1× 7 0.1× 76 1.2× 19 0.3× 21 338

Countries citing papers authored by Hai-Yan Kong

Since Specialization
Citations

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

Fields of papers citing papers by Hai-Yan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai-Yan Kong

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