Junsu Jin

2.1k citations
98 papers · 1.8k indexed · h-index 25

Impact in

Papers in

Junsu Jin

94 papers receiving 1.8k citations

Peers

Junsu Jin
Comparison fields: 5 of 81
  • Catalysis 287
  • Inorganic Chemistry 388
  • Process Chemistry and Technology 71
  • Spectroscopy 338
  • Biomedical Engineering 782
Replace Satoshi Yoda with:
Satoshi Yoda Japan
Long Qi China
Anne‐Agathe Quoineaud France
Karel Jeřábek Czechia
José A. Dias Brazil
César Jiménez‐Sanchidrián Spain
Liang Zhao China
Weizhen Sun China
Feng Zhang China
Rosenira Serpa da Cruz Brazil
Junsu Jin relative to Satoshi Yoda Japan Satoshi Yoda's profile →
Citations per field
00.5×
Satoshi Yoda · 1×
Citations per year

Countries citing papers authored by Junsu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Junsu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junsu Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junsu Jin Line = papers co-authored together Junsu Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 201583
3 201468
4 201866
5 201950
6 202149
7 202347
8 200446
9 202142
10 199941
11 202038
12 200636
13 200935
14 201234
15 201134
16 201132
17 202231
18 202131
19 200730
20 202329

About Junsu Jin

Junsu Jin is a scholar working on Biomedical Engineering, Mechanical Engineering, Organic Chemistry, Inorganic Chemistry and Materials Chemistry, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (47 papers), Chemical Thermodynamics and Molecular Structure (23 papers), Carbon Dioxide Capture Technologies (22 papers), Metal-Organic Frameworks: Synthesis and Applications (17 papers), Membrane Separation and Gas Transport (16 papers), Ionic liquids properties and applications (13 papers), Analytical Chemistry and Chromatography (12 papers) and Advanced Photocatalysis Techniques (9 papers). The work is most often cited by research in Catalysis (287 citations), Inorganic Chemistry (388 citations), Process Chemistry and Technology (71 citations), Spectroscopy (338 citations) and Biomedical Engineering (782 citations). Junsu Jin has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Zeting Zhang, Jianguo Mi, Hong Meng, Hongtao Liu, Jian Chen, Guohua Tian, Haifei Zhang, Xuesheng Liu, Hao Wu and Sisi He. Their work appears in journals such as Journal of Chemical & Engineering Data, Fluid Phase Equilibria, Industrial & Engineering Chemistry Research, Chemical Engineering Journal and RSC Advances.

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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