Joo‐Hwa Tay

1.2k total citations
26 papers, 983 citations indexed

About

Joo‐Hwa Tay is a scholar working on Pollution, Water Science and Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Joo‐Hwa Tay has authored 26 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pollution, 11 papers in Water Science and Technology and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Joo‐Hwa Tay's work include Wastewater Treatment and Nitrogen Removal (11 papers), Membrane Separation Technologies (4 papers) and Hydrological Forecasting Using AI (3 papers). Joo‐Hwa Tay is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (11 papers), Membrane Separation Technologies (4 papers) and Hydrological Forecasting Using AI (3 papers). Joo‐Hwa Tay collaborates with scholars based in Canada, Singapore and China. Joo‐Hwa Tay's co-authors include Yongqiang Liu, Yu Liu, Jianxun He, K. P. Sudheer, K. S. Kasiviswanathan, Ji Li, Yi Zhang, Shuo Wang, Yuying Wang and Guocheng Du and has published in prestigious journals such as Water Research, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Joo‐Hwa Tay

26 papers receiving 953 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joo‐Hwa Tay Canada 15 626 436 261 259 203 26 983
Iñaki Tejero Monzón Spain 17 365 0.6× 324 0.7× 299 1.1× 301 1.2× 209 1.0× 54 997
Youri Amerlinck Belgium 17 535 0.9× 507 1.2× 294 1.1× 258 1.0× 154 0.8× 47 1.1k
Mohamed Sherif Zaghloul Canada 16 429 0.7× 427 1.0× 239 0.9× 171 0.7× 109 0.5× 27 842
Mohamed F. Dahab United States 20 419 0.7× 282 0.6× 363 1.4× 293 1.1× 96 0.5× 60 1.1k
Matthias Barjenbruch Germany 15 422 0.7× 379 0.9× 472 1.8× 151 0.6× 292 1.4× 57 1.2k
Vasileios Diamantis Greece 18 363 0.6× 448 1.0× 343 1.3× 150 0.6× 353 1.7× 52 1.1k
Ibrahim Mohammed Lawal Nigeria 22 371 0.6× 424 1.0× 273 1.0× 105 0.4× 117 0.6× 42 1.2k
Ting Zhou China 22 477 0.8× 259 0.6× 238 0.9× 199 0.8× 209 1.0× 49 1.3k
K. Svardal Austria 16 498 0.8× 320 0.7× 369 1.4× 127 0.5× 181 0.9× 53 839
David de Haas Australia 10 549 0.9× 364 0.8× 556 2.1× 396 1.5× 49 0.2× 14 1.2k

Countries citing papers authored by Joo‐Hwa Tay

Since Specialization
Citations

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

Fields of papers citing papers by Joo‐Hwa Tay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo‐Hwa Tay. 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 Joo‐Hwa Tay. The network helps show where Joo‐Hwa Tay may publish in the future.

Co-authorship network of co-authors of Joo‐Hwa Tay

This figure shows the co-authorship network connecting the top 25 collaborators of Joo‐Hwa Tay. A scholar is included among the top collaborators of Joo‐Hwa Tay 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 Joo‐Hwa Tay. Joo‐Hwa Tay 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.
Wang, Shuo, Kai Qian, Yin Zhu, et al.. (2018). Reactivation and pilot-scale application of long-term storage denitrification biofilm based on flow cytometry. Water Research. 148. 368–377. 47 indexed citations
2.
Lv, Yi, Chunli Wan, Duu‐Jong Lee, et al.. (2018). Recovery of dehydrated aerobic granules: A comparison. Bioresource Technology. 267. 769–773. 15 indexed citations
3.
Wang, Shuo, Xinxin Ma, Yuying Wang, et al.. (2018). Piggery wastewater treatment by aerobic granular sludge: Granulation process and antibiotics and antibiotic-resistant bacteria removal and transport. Bioresource Technology. 273. 350–357. 85 indexed citations
4.
Sarma, Saurabh Jyoti & Joo‐Hwa Tay. (2018). Carbon, nitrogen and phosphorus removal mechanisms of aerobic granules. Critical Reviews in Biotechnology. 38(7). 1077–1088. 23 indexed citations
5.
Kasiviswanathan, K. S., Jianxun He, Joo‐Hwa Tay, & K. P. Sudheer. (2018). Enhancement of Model Reliability by Integrating Prediction Interval Optimization into Hydrogeological Modeling. Water Resources Management. 33(1). 229–243. 9 indexed citations
6.
Show, Kuan-Yeow, Joo‐Hwa Tay, & Duu‐Jong Lee. (2018). Sustainable Sludge Management. WORLD SCIENTIFIC eBooks. 1 indexed citations
7.
Dominic, John Albino, et al.. (2018). Influence of UV dose on the UV/H2O2 process for the degradation of carbamazepine in wastewater. Environmental Technology. 40(23). 3031–3039. 13 indexed citations
8.
Kasiviswanathan, K. S., Jianxun He, & Joo‐Hwa Tay. (2016). Flood frequency analysis using multi-objective optimization based interval estimation approach. Journal of Hydrology. 545. 251–262. 14 indexed citations
9.
Zhang, Yi & Joo‐Hwa Tay. (2015). Toxic and inhibitory effects of trichloroethylene aerobic co-metabolism on phenol-grown aerobic granules. Journal of Hazardous Materials. 286. 204–210. 29 indexed citations
10.
Liu, Yongqiang & Joo‐Hwa Tay. (2015). Fast formation of aerobic granules by combining strong hydraulic selection pressure with overstressed organic loading rate. Water Research. 80. 256–266. 121 indexed citations
11.
Wang, Li, Xiang Liu, Xiaofeng Chen, et al.. (2015). Biosorption of Sr(II) from aqueous solutions using aerobic granules: equilibrium and mechanisms. Journal of Radioanalytical and Nuclear Chemistry. 306(1). 193–202. 14 indexed citations
12.
Wang, Li, Yayi Wang, Xiang Liu, et al.. (2015). A comprehensive comparison of bacterial and fungal aerobic granules: formation, properties, surface modification, and biosorption of metals. RSC Advances. 5(126). 104062–104070. 11 indexed citations
13.
Liu, Yongqiang & Joo‐Hwa Tay. (2007). Influence of starvation time on formation and stability of aerobic granules in sequencing batch reactors. Bioresource Technology. 99(5). 980–985. 107 indexed citations
14.
Liu, Yongqiang & Joo‐Hwa Tay. (2006). Cultivation of aerobic granules in a bubble column and an airlift reactor with divided draft tubes at low aeration rate. Biochemical Engineering Journal. 34(1). 1–7. 32 indexed citations
15.
Tay, Joo‐Hwa, Kuan‐Yeow Show, & Yung‐Tse Hung. (2006). Seafood Processing Wastewater Treatment. ChemInform. 37(13). 4 indexed citations
16.
Liu, Yu, Hui Xu, Shufang Yang, & Joo‐Hwa Tay. (2004). A theoretical model for biosorption of cadmium, zinc and copper by aerobic granules based on initial conditions. Journal of Chemical Technology & Biotechnology. 79(9). 982–986. 8 indexed citations
17.
Tay, Joo‐Hwa, et al.. (2003). Effects of Hydraulic Retention Time on System Performance of a Submerged Membrane Bioreactor. Separation Science and Technology. 38(4). 851–868. 19 indexed citations
18.
Liu, Yu & Joo‐Hwa Tay. (2001). Strategy for minimization of excess sludge production from the activated sludge process. Biotechnology Advances. 19(2). 97–107. 184 indexed citations
19.
Tay, Joo‐Hwa, et al.. (1987). Use of Reclaimed Wastewater for Concrete Mixing. Journal of Environmental Engineering. 113(5). 1156–1161. 54 indexed citations
20.
Tay, Joo‐Hwa. (1984). Treatment of electroplating wastes. Loughborough University Institutional Repository (Loughborough University). 9 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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