Tony Fane

2.5k total citations · 1 hit paper
8 papers, 2.0k citations indexed

About

Tony Fane is a scholar working on Water Science and Technology, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Tony Fane has authored 8 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 6 papers in Biomedical Engineering and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Tony Fane's work include Membrane Separation Technologies (7 papers), Membrane-based Ion Separation Techniques (6 papers) and Membrane Separation and Gas Transport (2 papers). Tony Fane is often cited by papers focused on Membrane Separation Technologies (7 papers), Membrane-based Ion Separation Techniques (6 papers) and Membrane Separation and Gas Transport (2 papers). Tony Fane collaborates with scholars based in Australia, Singapore and South Korea. Tony Fane's co-authors include Pierre Le‐Clech, Vicki Chen, Xiao Jin Yang, Rong Wang, Yang Zhao, Jaume Torres, Xuesong Li, Chuyang Y. Tang, Ardcharaporn Vararattanavech and Peter Sanciolo and has published in prestigious journals such as Environmental Science & Technology, Journal of Membrane Science and Desalination.

In The Last Decade

Tony Fane

8 papers receiving 2.0k citations

Hit Papers

Fouling in membrane biore... 2006 2026 2012 2019 2006 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tony Fane Australia 5 1.8k 1.3k 539 477 320 8 2.0k
In-Soung Chang South Korea 20 2.0k 1.1× 1.3k 1.0× 940 1.7× 469 1.0× 259 0.8× 47 2.4k
Sajjad Khudhur Abbas Al‐Amshawee Malaysia 13 696 0.4× 656 0.5× 212 0.4× 353 0.7× 205 0.6× 32 1.3k
Amine Charfi South Korea 15 896 0.5× 588 0.5× 216 0.4× 220 0.5× 240 0.8× 35 1.1k
Mohd Yusri Bin Mohd Yunus Malaysia 12 664 0.4× 625 0.5× 181 0.3× 353 0.7× 199 0.6× 35 1.2k
Jeonghwan Kim South Korea 11 879 0.5× 509 0.4× 287 0.5× 176 0.4× 198 0.6× 15 1.1k
Arie Zwijnenburg Netherlands 13 873 0.5× 526 0.4× 228 0.4× 196 0.4× 127 0.4× 15 1.0k
Tze Chiang Albert Ng Singapore 20 785 0.4× 436 0.3× 186 0.3× 196 0.4× 179 0.6× 39 1.1k
Sadegh Aghapour Aktij Canada 17 1.2k 0.7× 971 0.7× 112 0.2× 353 0.7× 139 0.4× 29 1.7k
Haleema Saleem Qatar 21 1.1k 0.6× 859 0.7× 95 0.2× 317 0.7× 462 1.4× 32 1.9k
W. Doyen Belgium 13 778 0.4× 644 0.5× 92 0.2× 213 0.4× 83 0.3× 28 1.2k

Countries citing papers authored by Tony Fane

Since Specialization
Citations

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

Fields of papers citing papers by Tony Fane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Fane

This figure shows the co-authorship network connecting the top 25 collaborators of Tony Fane. A scholar is included among the top collaborators of Tony Fane 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 Tony Fane. Tony Fane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Lee, Jangho, et al.. (2018). Forward Osmosis Membranes under Null-Pressure Condition: Do Hydraulic and Osmotic Pressures Have Identical Nature?. Environmental Science & Technology. 52(6). 3556–3566. 26 indexed citations
2.
Sanciolo, Peter, Eddy Ostarcevic, P. D. Atherton, et al.. (2012). Enhancement of reverse osmosis water recovery using interstage calcium precipitation. Desalination. 295. 43–52. 37 indexed citations
3.
Li, Xuesong, Rong Wang, Chuyang Y. Tang, et al.. (2012). Preparation of supported lipid membranes for aquaporin Z incorporation. Colloids and Surfaces B Biointerfaces. 94. 333–340. 98 indexed citations
4.
Tang, C.Y., et al.. (2012). REMOVED: Advances in Forward Osmosis and Pressure Retarded Osmosis Membranes. Procedia Engineering. 44. 11–11. 1 indexed citations
5.
Sanciolo, Peter, Eddy Ostarcevic, P. D. Atherton, et al.. (2011). Effect of Reverse Osmosis Concentrate Composition on Effectiveness of Seeded Precipitation Removal of Scale Precursor Ions to Enhance Water Recovery. Data in Brief. 43. 108371–108371. 1 indexed citations
6.
Sanciolo, Peter, Eddy Ostarcevic, P. D. Atherton, et al.. (2010). Reverse Osmosis Waste Brine Volume Reduction by Accelerated Seeded Precipitation. Victoria University Research Repository (Victoria University). 1 indexed citations
7.
Le‐Clech, Pierre, Vicki Chen, & Tony Fane. (2006). Fouling in membrane bioreactors used in wastewater treatment. Journal of Membrane Science. 284(1-2). 17–53. 1847 indexed citations breakdown →
8.
Yang, Xiao Jin & Tony Fane. (1997). Effect of membrane preparation on the lifetime of supported liquid membranes. Journal of Membrane Science. 133(2). 269–273. 29 indexed citations

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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