Jun Shi

102 papers receiving 2.3k citations

Peers

Jun Shi
Comparison fields: 5 of 99
  • Filtration and Separation 182
  • Catalysis 302
  • Fluid Flow and Transfer Processes 249
  • Renewable Energy, Sustainability and the Environment 447
  • Water Science and Technology 382
Replace Yasuhiro Awakura with:
Yasuhiro Awakura Japan
Eli Korin Israel
Małgorzata M. Łencka United States
Jianguo Mi China
Youwei Cheng China
Junfeng Wang China
M. P. Antony India
Yongsheng Guo China
Gui Young Han South Korea
A.M. Shams El Din Egypt
Jun Shi relative to Yasuhiro Awakura Japan Yasuhiro Awakura's profile →
Citations per field
00.5×3.0×
Yasuhiro Awakura · 1×
Citations per year

Countries citing papers authored by Jun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Shi, 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 Jun Shi Line = papers co-authored together Jun Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999317
2 2002181
3 1998136
4 2000115
5 200298
6 199985
7 199271
8 200258
9 200057
10 199357
11 199954
12 200251
13 200047
14 200144
15 199940
16 201338
17 200038
18 200235
19 200035
20 200031

About Jun Shi

Jun Shi is a scholar working on Biomedical Engineering, Materials Chemistry, Fluid Flow and Transfer Processes, Organic Chemistry and Mechanical Engineering, having authored 108 papers that have together received 2.3k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (21 papers), Thermodynamic properties of mixtures (18 papers), Catalytic Processes in Materials Science (17 papers), Chemical Thermodynamics and Molecular Structure (16 papers), Chemical and Physical Properties in Aqueous Solutions (15 papers), Catalysis and Oxidation Reactions (12 papers), Advancements in Solid Oxide Fuel Cells (9 papers) and Membrane Separation Technologies (8 papers). The work is most often cited by research in Filtration and Separation (182 citations), Catalysis (302 citations), Fluid Flow and Transfer Processes (249 citations), Renewable Energy, Sustainability and the Environment (447 citations) and Water Science and Technology (382 citations). Jun Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Nanping Xu, Yanru Wang, Xiaohua Lü, Zhou Jian, Wanqin Jin, Junhang Dong, Michael Z. Hu, Y. S. Lin, Shiguang Li and Yiqun Fan. Their work appears in journals such as Fluid Phase Equilibria, Industrial & Engineering Chemistry Research, Journal of Membrane Science, AIChE Journal and The Journal of Chemical Thermodynamics.

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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