Lianfa Song

5.3k total citations · 1 hit paper
109 papers, 4.3k citations indexed

About

Lianfa Song is a scholar working on Water Science and Technology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Lianfa Song has authored 109 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Water Science and Technology, 72 papers in Biomedical Engineering and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Lianfa Song's work include Membrane Separation Technologies (84 papers), Membrane-based Ion Separation Techniques (63 papers) and Nanopore and Nanochannel Transport Studies (21 papers). Lianfa Song is often cited by papers focused on Membrane Separation Technologies (84 papers), Membrane-based Ion Separation Techniques (63 papers) and Nanopore and Nanochannel Transport Studies (21 papers). Lianfa Song collaborates with scholars based in United States, Singapore and China. Lianfa Song's co-authors include Menachem Elimelech, Say Leong Ong, Cui Liu, Shuang Liang, Haifeng Zhang, Gurdev Singh, Lanhe Zhang, Wun Jern Ng, Philip R. Johnson and Wen-Wen Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Advanced Functional Materials.

In The Last Decade

Lianfa Song

107 papers receiving 4.2k citations

Hit Papers

Water transport in revers... 2023 2026 2024 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianfa Song United States 35 3.3k 2.4k 1.0k 619 526 109 4.3k
Greg Leslie Australia 38 3.2k 1.0× 2.1k 0.9× 862 0.8× 502 0.8× 543 1.0× 136 4.5k
Vitaly Gitis Israel 29 2.1k 0.6× 1.4k 0.6× 511 0.5× 460 0.7× 240 0.5× 88 3.1k
S.G.J. Heijman Netherlands 40 3.3k 1.0× 1.8k 0.8× 593 0.6× 578 0.9× 903 1.7× 140 4.7k
Arne Verliefde Belgium 44 4.2k 1.3× 3.2k 1.4× 1.1k 1.0× 894 1.4× 707 1.3× 150 5.4k
Walter van der Meer Netherlands 35 2.5k 0.7× 1.7k 0.7× 644 0.6× 326 0.5× 475 0.9× 118 3.7k
Sangyoup Lee South Korea 29 3.8k 1.1× 3.3k 1.4× 1.3k 1.3× 630 1.0× 201 0.4× 93 4.5k
Samer Adham Qatar 39 3.6k 1.1× 2.1k 0.9× 787 0.8× 516 0.8× 933 1.8× 137 5.2k
Sangho Lee South Korea 40 4.3k 1.3× 3.0k 1.3× 1.1k 1.1× 584 0.9× 363 0.7× 202 5.2k
Seyed Nezameddin Ashrafizadeh Iran 39 1.1k 0.3× 2.3k 1.0× 1.1k 1.0× 950 1.5× 141 0.3× 149 4.2k
R.J. Wakeman United Kingdom 34 1.6k 0.5× 1.0k 0.4× 980 0.9× 605 1.0× 260 0.5× 131 3.8k

Countries citing papers authored by Lianfa Song

Since Specialization
Citations

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

Fields of papers citing papers by Lianfa Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianfa Song

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

All Works

20 of 20 papers shown
1.
Liu, Wenhui, et al.. (2025). Investigation of the alkali-resistant mechanism of the Fe2(SO4)3/TiO2 catalyst in NH3-SCR of NO: Self-protection of SO42- species. Journal of environmental chemical engineering. 13(5). 119061–119061.
3.
Li, Yuqi, Lianfa Song, Qi Wei, et al.. (2025). Radical‐Mediated Pyrolysis Engineering Multi‐Precursor Hard Carbons with Hierarchical Sodium Storage Architectures. Advanced Functional Materials. 36(19). 2 indexed citations
4.
Song, Lianfa. (2024). Optimization of seawater desalination processes with the ideal reverse osmosis equation. Desalination. 576. 117376–117376. 6 indexed citations
5.
Song, Lianfa. (2023). Why is the film model fundamentally wrong but still able to correlate the experimental data in membrane processes?. Journal of Membrane Science. 686. 121987–121987. 2 indexed citations
6.
Song, Lianfa. (2023). A concise analytical model for the ideal reverse osmosis desalination processes. Water Environment Research. 95(10). e10939–e10939. 3 indexed citations
7.
Rainwater, Ken, et al.. (2021). Economic Analyses of the Seadrift Wind-Aided Wastewater Treatment Plant Operations. SHILAP Revista de lepidopterología. 12(1). 42–57. 1 indexed citations
8.
Wang, Shengli, et al.. (2019). Characterization of activated sludge flocs in membrane bioreactor: stable and unstable flocs. Environmental Science and Pollution Research. 26(31). 31786–31792. 4 indexed citations
10.
Sun, Fengkai, Na Zhang, Fazhan Li, et al.. (2018). Dynamic analysis of self-forming dynamic membrane (SFDM) filtration in submerged anaerobic bioreactor: Performance, characteristic, and mechanism. Bioresource Technology. 270. 383–390. 28 indexed citations
11.
Zhang, Haifeng, et al.. (2017). Insight into influence of iron addition in membrane bioreactoron gel layer fouling. Membrane Water Treatment. 8(6). 543. 1 indexed citations
12.
Rainwater, Ken, et al.. (2014). Closed-Concentrate Circulation for High Recovery and Energy Efficiency in Small-Scale Brackish Reverse Osmosis. Journal of Environmental Engineering. 140(6). 5 indexed citations
13.
Liu, Cui, Ken Rainwater, & Lianfa Song. (2012). Calculation of energy consumption for crossflow RO desalination processes. Desalination and Water Treatment. 42(1-3). 295–303. 4 indexed citations
14.
Liang, Shuang & Lianfa Song. (2007). Characteristics and Fouling Behaviors of Dissolved Organic Matter in Submerged Membrane Bioreactor Systems. Environmental Engineering Science. 24(5). 652–662. 25 indexed citations
15.
Singh, Gurdev & Lianfa Song. (2007). Experimental correlations of pH and ionic strength effects on the colloidal fouling potential of silica nanoparticles in crossflow ultrafiltration. Journal of Membrane Science. 303(1-2). 112–118. 43 indexed citations
16.
Liang, Shuang, Cui Liu, & Lianfa Song. (2006). Soluble microbial products in membrane bioreactor operation: Behaviors, characteristics, and fouling potential. Water Research. 41(1). 95–101. 293 indexed citations
17.
Song, Lianfa, et al.. (2005). Adsorption Removal of Phenol in Water and Simultaneous Regeneration by Catalytic Oxidation. Environmental Engineering Science. 22(5). 608–614. 5 indexed citations
18.
Hu, Jiangyong, Say Leong Ong, Lianfa Song, et al.. (2003). Removal of MS2 bacteriophage using membrane technologies. Water Science & Technology. 47(12). 163–168. 30 indexed citations
19.
Ong, Say Leong, Wen-Wen Zhou, Lianfa Song, & Wenfa Ng. (2002). Evaluation of Feed Concentration Effects on Salt/Ion Transport through RO/NF Membranes with the Nernst-Planck-Donnan Model. Environmental Engineering Science. 19(6). 429–439. 28 indexed citations
20.
Song, Lianfa & Menachem Elimelech. (1993). Dynamics of colloid deposition in porous media: Modeling the role of retained particles. Colloids and Surfaces A Physicochemical and Engineering Aspects. 73. 49–63. 116 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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