Hao Jin

37 total papers · 565 total citations
24 papers, 444 citations indexed

About

Hao Jin is a scholar working on Organic Chemistry, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Hao Jin has authored 24 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Hao Jin's work include Polysaccharides Composition and Applications (4 papers), Rheology and Fluid Dynamics Studies (4 papers) and Surfactants and Colloidal Systems (4 papers). Hao Jin is often cited by papers focused on Polysaccharides Composition and Applications (4 papers), Rheology and Fluid Dynamics Studies (4 papers) and Surfactants and Colloidal Systems (4 papers). Hao Jin collaborates with scholars based in China, United States and Japan. Hao Jin's co-authors include Shigenori Kuga, Yoshiharu Nishiyama, Masahisa Wada, Bo Fang, Kejing Li, Xiaohui Qiu, Hong Zhi, Lina Wang, Yongjun Lü and Meng Tian and has published in prestigious journals such as Green Chemistry, Colloids and Surfaces A Physicochemical and Engineering Aspects and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Hao Jin

23 papers receiving 431 citations

Author Peers

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

Author Last Decade Papers Cites
Hao Jin 215 183 102 61 56 24 444
Anett Kondor 135 0.6× 139 0.8× 101 1.0× 11 0.2× 70 1.3× 19 393
Shujuan Yu 86 0.4× 48 0.3× 59 0.6× 35 0.6× 142 2.5× 28 473
Jeong-Wook Lee 89 0.4× 46 0.3× 123 1.2× 55 0.9× 65 1.2× 39 415
Jing Quan 188 0.9× 35 0.2× 128 1.3× 23 0.4× 46 0.8× 38 415
E. H. Immergut 135 0.6× 26 0.1× 114 1.1× 14 0.2× 45 0.8× 14 401
Jake McClements 69 0.3× 36 0.2× 147 1.4× 29 0.5× 69 1.2× 26 481
Yukari Numata 311 1.4× 54 0.3× 145 1.4× 5 0.1× 37 0.7× 18 408
Vikram Karde 39 0.2× 72 0.4× 59 0.6× 29 0.5× 140 2.5× 23 483
Eva Ålander 266 1.2× 25 0.1× 107 1.0× 12 0.2× 139 2.5× 12 479
Е. С. Вайнерман 102 0.5× 64 0.3× 171 1.7× 32 0.5× 45 0.8× 24 466

Countries citing papers authored by Hao Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Jin

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