Linglong Shan

826 citations
31 papers · 679 · h-index 16

Impact in

Papers in

Linglong Shan

29 papers receiving 677 citations

Peers

Linglong Shan
Comparison fields: 5 of 51
  • Water Science and Technology 466
  • Mechanical Engineering 347
  • Biomedical Engineering 339
  • Surfaces, Coatings and Films 50
  • Biomaterials 68
Replace Majid Esmaeili with:
Majid Esmaeili Iran
Agnieszka K. Hołda Belgium
You Chang Xiao Singapore
Guo-Liang Zhuang Taiwan
A. A. Yushkin Russia
Mahdieh Asadollahi Iran
A.K. Zulhairun Malaysia
Oishi Sanyal United States
Bingbing Yuan China
Linglong Shan relative to Majid Esmaeili Iran Majid Esmaeili's profile →
Citations per field
00.5×2.7×
Majid Esmaeili · 1×
Citations per year

Countries citing papers authored by Linglong Shan

Since Specialization
Citations

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

Fields of papers citing papers by Linglong Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 202258
3 201654
4 201346
5 202143
6 202140
7 202138
8 202338
9 201538
10 201835
11 201430
12 201629
13 201428
14 202128
15 202225
16 202316
17 201712
18 20228
19 20238
20 20237

About Linglong Shan

Linglong Shan is a scholar working on Water Science and Technology, Mechanical Engineering, Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 31 papers that have together received 679 indexed citations. Recurring topics across this work include Membrane Separation Technologies (25 papers), Membrane Separation and Gas Transport (18 papers), Membrane-based Ion Separation Techniques (11 papers), Covalent Organic Framework Applications (6 papers), Fuel Cells and Related Materials (5 papers), Extraction and Separation Processes (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Water Science and Technology (466 citations), Mechanical Engineering (347 citations), Biomedical Engineering (339 citations), Surfaces, Coatings and Films (50 citations) and Biomaterials (68 citations). Linglong Shan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shulan Ji, Guojun Zhang, Hongwei Fan, Shuangjiang Luo, Lili Gong, Hongxia Guo, Ju Bai, Wei Lai, Luqi Xiao and Jiahui Gu. Their work appears in journals such as Journal of Membrane Science, Industrial & Engineering Chemistry Research, ACS Applied Materials & Interfaces, Chemical Engineering Journal and Separation and Purification Technology.

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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