Tsan‐Liang Su

640 total citations
22 papers, 519 citations indexed

About

Tsan‐Liang Su is a scholar working on Biomedical Engineering, Water Science and Technology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Tsan‐Liang Su has authored 22 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 5 papers in Water Science and Technology and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Tsan‐Liang Su's work include Environmental remediation with nanomaterials (4 papers), Plasma Applications and Diagnostics (3 papers) and Algal biology and biofuel production (3 papers). Tsan‐Liang Su is often cited by papers focused on Environmental remediation with nanomaterials (4 papers), Plasma Applications and Diagnostics (3 papers) and Algal biology and biofuel production (3 papers). Tsan‐Liang Su collaborates with scholars based in United States, China and Pakistan. Tsan‐Liang Su's co-authors include Junfeng Liang, Xiaoguang Meng, Tianchi Liu, Jumin Hao, Mei‐Juan Han, Agamemnon Koutsospyros, Christos Christodoulatos, Jinshan Wei, Lee Lippincott and Washington Braida and has published in prestigious journals such as The Science of The Total Environment, Langmuir and Chemical Engineering Journal.

In The Last Decade

Tsan‐Liang Su

20 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsan‐Liang Su United States 10 182 80 79 74 68 22 519
Ajoy Mandal India 14 190 1.0× 113 1.4× 30 0.4× 207 2.8× 51 0.8× 33 611
Yifan Gao China 12 215 1.2× 126 1.6× 228 2.9× 128 1.7× 43 0.6× 29 641
Marianne Vandenbossche Switzerland 14 218 1.2× 212 2.6× 99 1.3× 99 1.3× 72 1.1× 25 633
Wenxu Li China 13 149 0.8× 149 1.9× 89 1.1× 131 1.8× 72 1.1× 30 592
John Graves United Kingdom 15 264 1.5× 261 3.3× 91 1.2× 272 3.7× 59 0.9× 30 860
Deqi Liu China 13 137 0.8× 112 1.4× 145 1.8× 135 1.8× 53 0.8× 30 495
Sean E. Lehman United States 9 142 0.8× 202 2.5× 27 0.3× 46 0.6× 92 1.4× 14 471
Yukari Eguchi Japan 8 86 0.5× 393 4.9× 70 0.9× 74 1.0× 145 2.1× 14 799
Ximing Wang China 12 112 0.6× 147 1.8× 74 0.9× 108 1.5× 109 1.6× 47 508

Countries citing papers authored by Tsan‐Liang Su

Since Specialization
Citations

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

Fields of papers citing papers by Tsan‐Liang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsan‐Liang Su. 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 Tsan‐Liang Su. The network helps show where Tsan‐Liang Su may publish in the future.

Co-authorship network of co-authors of Tsan‐Liang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Tsan‐Liang Su. A scholar is included among the top collaborators of Tsan‐Liang Su 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 Tsan‐Liang Su. Tsan‐Liang Su 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.
Christodoulatos, Christos, et al.. (2024). Impact of operational parameters on degradation of nitroglycerin using biochar doped with nano zerovalent iron. Journal of environmental chemical engineering. 12(6). 114911–114911.
2.
Abraham, Juliana, Washington Braida, Tsan‐Liang Su, et al.. (2023). On-Site Pilot-Scale Microalgae Cultivation Using Industrial Wastewater for Bioenergy Production: A Case Study towards Circular Bioeconomy. Bioengineering. 10(12). 1339–1339. 9 indexed citations
3.
Parziale, Nick J., et al.. (2023). Analysis of the thermal decomposition of munitions wastewater. Propellants Explosives Pyrotechnics. 49(4).
4.
Koutsospyros, Agamemnon, et al.. (2022). MicroAlgal Biofilm Reactor (MABR) – Evaluation of Biomass Support Materials and Nitrate Removal Performance. Environmental Processes. 9(2). 2 indexed citations
5.
Abraham, Juliana, Abhishek RoyChowdhury, Agamemnon Koutsospyros, et al.. (2022). Generation of biofuel from anaerobic digestion of Scenedesmus obliquus grown in energetic‐laden industrial wastewater: Understanding microalgae strains, co‐digestants, and digestate toxicity. Environmental Progress & Sustainable Energy. 41(2). 8 indexed citations
6.
Su, Tsan‐Liang, et al.. (2022). Green in-situ synthesis of silver coated textiles for wide hygiene and healthcare applications. Colloids and Surfaces A Physicochemical and Engineering Aspects. 657. 130506–130506. 8 indexed citations
7.
Koutsospyros, Agamemnon, et al.. (2021). Oxidative degradation of nitroguanidine (NQ) by UV-C and oxidants: Hydrogen peroxide, persulfate and peroxymonosulfate. Chemosphere. 292. 133357–133357. 12 indexed citations
8.
Kumar, Alok, Aneela Anwar, Xiao Ling Zhao, et al.. (2020). Load‐bearing biodegradable PCL‐PGA‐beta TCP scaffolds for bone tissue regeneration. Journal of Biomedical Materials Research Part B Applied Biomaterials. 109(2). 193–200. 49 indexed citations
9.
Lippincott, Lee, et al.. (2020). Challenges of arsenic removal from municipal wastewater by coagulation with ferric chloride and alum. The Science of The Total Environment. 725. 138351–138351. 75 indexed citations
11.
Christodoulatos, Christos, et al.. (2018). Degradation of 3-nitro-1,2,4-trizole-5-one (NTO) in wastewater with UV/H2O2 oxidation. Chemical Engineering Journal. 354. 481–491. 35 indexed citations
12.
Liu, Tianchi, et al.. (2017). Self-Polymerization of Dopamine in Acidic Environments without Oxygen. Langmuir. 33(23). 5863–5871. 111 indexed citations
13.
Liang, Junfeng, et al.. (2017). Plasma-activated water: antibacterial activity and artifacts?. Environmental Science and Pollution Research. 25(27). 26699–26706. 44 indexed citations
14.
Braida, Washington, et al.. (2016). Characteristics and products of the reductive degradation of 3-nitro-1,2,4-triazol-5-one (NTO) and 2,4-dinitroanisole (DNAN) in a Fe-Cu bimetal system. Environmental Science and Pollution Research. 24(3). 2744–2753. 22 indexed citations
15.
Su, Tsan‐Liang, et al.. (2016). Plasma-Activated Solutions for Bacteria and Biofilm Inactivation. Current Bioactive Compounds. 13(1). 59–65. 24 indexed citations
16.
Vaccari, David A., et al.. (2015). Symbolic Regression of Upstream, Stormwater, and Tributary E. Coli Concentrations Using River Flows. Water Environment Research. 87(1). 26–34. 5 indexed citations
17.
Hao, Jumin, et al.. (2015). SERS detection of arsenic in water: A review. Journal of Environmental Sciences. 36. 152–162. 82 indexed citations
18.
Vaccari, David A., et al.. (2014). Predictor-Independent Linear Models Relating Lognormally Distributed Escherichia coli and Fecal Coliforms. Journal of Environmental Engineering. 141(1). 1 indexed citations
19.
Vaccari, David A., et al.. (2013). Modeling of <I>E. coli</I> Concentrations in a CSO-Impacted Stretch of the Lower Passaic River. Proceedings of the Water Environment Federation. 2013(9). 6256–6264. 1 indexed citations
20.
Su, Tsan‐Liang & Christos Christodoulatos. (1996). Destruction of Nitrocellulose Using Alkaline Hydrolysis. Defense Technical Information Center (DTIC). 4 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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