Hailong Yang

28 total papers · 2.0k total citations
17 papers, 1.8k citations indexed

About

Hailong Yang is a scholar working on Biomedical Engineering, Materials Chemistry and Catalysis. According to data from OpenAlex, Hailong Yang has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 10 papers in Materials Chemistry and 4 papers in Catalysis. Recurrent topics in Hailong Yang's work include Nanoplatforms for cancer theranostics (9 papers), Advanced Nanomaterials in Catalysis (7 papers) and Chemical Looping and Thermochemical Processes (5 papers). Hailong Yang is often cited by papers focused on Nanoplatforms for cancer theranostics (9 papers), Advanced Nanomaterials in Catalysis (7 papers) and Chemical Looping and Thermochemical Processes (5 papers). Hailong Yang collaborates with scholars based in China, Taiwan and United Kingdom. Hailong Yang's co-authors include Huiyu Liu, Bolong Xu, Shanshan Li, Xueting Pan, Weiwei Wang, Xinghua Shi, Lirong Zheng, Yun Sun, Shen‐Ming Chen and Kelong Fan and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Bioinformatics.

In The Last Decade

Hailong Yang

15 papers receiving 1.8k citations

Hit Papers

A Single‐Atom Nanozyme fo... 2019 2026 2021 2023 2019 2019 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Hailong Yang 1.5k 939 556 256 210 17 1.8k
Yuan Cheng 1.5k 1.0× 909 1.0× 557 1.0× 284 1.1× 74 0.4× 25 2.1k
Yanjuan Sang 1.4k 0.9× 1.1k 1.2× 624 1.1× 190 0.7× 155 0.7× 23 1.9k
Chuan‐Wan Wei 861 0.6× 741 0.8× 416 0.7× 183 0.7× 129 0.6× 39 1.6k
Yuanyi Zheng 1.2k 0.8× 1.3k 1.3× 464 0.8× 184 0.7× 226 1.1× 28 2.2k
Xunan Jing 1.0k 0.7× 796 0.8× 522 0.9× 278 1.1× 96 0.5× 43 1.6k
Miaomiao Luo 847 0.6× 917 1.0× 403 0.7× 160 0.6× 169 0.8× 37 1.7k
Bianca Dumontel 657 0.4× 711 0.8× 276 0.5× 120 0.5× 363 1.7× 21 1.5k
Linqiang Mei 1.5k 1.0× 1.3k 1.4× 504 0.9× 346 1.4× 258 1.2× 35 2.3k
Bei Ran 826 0.6× 677 0.7× 274 0.5× 156 0.6× 485 2.3× 22 1.6k
Xinghua Yu 985 0.7× 1.1k 1.2× 534 1.0× 213 0.8× 161 0.8× 25 1.8k

Countries citing papers authored by Hailong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Yang

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