Jun Fu Wei

733 citations
50 papers · 599 · h-index 13

Impact in

Papers in

Jun Fu Wei

47 papers receiving 579 citations

Peers

Jun Fu Wei
Comparison fields: 5 of 61
  • Molecular Medicine 34
  • Water Science and Technology 85
  • Organic Chemistry 103
  • Inorganic Chemistry 46
  • Physical and Theoretical Chemistry 30
Replace László Trif with:
László Trif Hungary
María del Mar Ramos-Tejada Spain
Xinyi Wang China
Hui Yuan China
Alina V. Korobeinyk Ukraine
Marcus J. Caulfield Australia
Yuxiu An China
María A. Villa‐García Spain
Jean‐Philippe Boisvert Canada
Ming Han Saudi Arabia
Jun Fu Wei relative to László Trif Hungary László Trif's profile →
Citations per field
00.5×2×3×4.3×
László Trif · 1×
Citations per year

Countries citing papers authored by Jun Fu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 200859
3 201558
4 202042
5 201440
6 200537
7 202337
8 202031
9 201522
10 202117
11 201214
12 202514
13 202013
14 202213
15 201212
16 202511
17 202110
18 20199
19 20208
20 20087

About Jun Fu Wei

Jun Fu Wei is a scholar working on Water Science and Technology, Polymers and Plastics, Molecular Medicine, Mechanical Engineering and Organic Chemistry, having authored 50 papers that have together received 599 indexed citations. Recurring topics across this work include Membrane Separation Technologies (7 papers), Polymer Synthesis and Characterization (6 papers), Hydrogels: synthesis, properties, applications (4 papers), Analytical chemistry methods development (3 papers), Epoxy Resin Curing Processes (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Concrete Properties and Behavior (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Molecular Medicine (34 citations), Water Science and Technology (85 citations), Organic Chemistry (103 citations), Inorganic Chemistry (46 citations) and Physical and Theoretical Chemistry (30 citations). Jun Fu Wei has collaborated with scholars based in China, Belarus and United States. Frequent co-authors include Tianwei Tan, Hui Cao, Xuefeng Song, Jian Zhang, Bin Tan, Shao‐Hua Xiang, Haiyuan Yang, Wei‐Yi Ding, Shaoyu Li and Fang Liu. Their work appears in journals such as Journal of Polymer Research, Desalination, Journal of Membrane Science, Nature Chemistry and Journal of Materials Engineering and Performance.

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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