Haihong Gu

20 total papers · 408 total citations
13 papers, 344 citations indexed

About

Haihong Gu is a scholar working on Biomaterials, Surfaces, Coatings and Films and Biomedical Engineering. According to data from OpenAlex, Haihong Gu has authored 13 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomaterials, 8 papers in Surfaces, Coatings and Films and 8 papers in Biomedical Engineering. Recurrent topics in Haihong Gu's work include Electrospun Nanofibers in Biomedical Applications (9 papers), Surface Modification and Superhydrophobicity (8 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Haihong Gu is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (9 papers), Surface Modification and Superhydrophobicity (8 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Haihong Gu collaborates with scholars based in China and Canada. Haihong Gu's co-authors include Ni Li, Jie Xiong, Jiatai Gu, Qiong Zhang, Pingping Li, Guoqing Li, Xia Xin, Shaojie Chen, Jinwei Cao and Jingjing Luo and has published in prestigious journals such as Journal of Colloid and Interface Science, Applied Surface Science and Journal of Applied Polymer Science.

In The Last Decade

Haihong Gu

13 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Haihong Gu 227 200 160 82 45 13 344
Yishen Lu 124 0.5× 206 1.0× 73 0.5× 54 0.7× 25 0.6× 16 327
Xinhui Mao 104 0.5× 151 0.8× 107 0.7× 32 0.4× 71 1.6× 13 294
Vinitkumar Singh 103 0.5× 148 0.7× 169 1.1× 77 0.9× 38 0.8× 12 323
Balraj Krishnan Tudu 114 0.5× 87 0.4× 245 1.5× 41 0.5× 91 2.0× 11 374
Baturalp Yalçınkaya 178 0.8× 215 1.1× 39 0.2× 72 0.9× 25 0.6× 22 340
Azam Jamsaz 125 0.6× 84 0.4× 242 1.5× 51 0.6× 128 2.8× 12 392
Luli Shen 139 0.6× 66 0.3× 203 1.3× 37 0.5× 101 2.2× 14 387
Nadir Ali 175 0.8× 166 0.8× 75 0.5× 48 0.6× 70 1.6× 9 375
Yangling Li 115 0.5× 70 0.3× 82 0.5× 82 1.0× 46 1.0× 12 333
Zhe Jiang 172 0.8× 168 0.8× 79 0.5× 64 0.8× 63 1.4× 25 404

Countries citing papers authored by Haihong Gu

Since Specialization
Citations

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

Fields of papers citing papers by Haihong Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihong Gu

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