Wun Jern Ng

12.1k citations
179 papers · 9.7k indexed · 3 hit papers · h-index 52

Wun Jern Ng

177 papers receiving 9.5k citations

Hit Papers

Bioconversion of food waste to energy: A review4792011202620162021250500750

Peers

Wun Jern Ng
Comparison fields: 5 of 166
  • Pollution 3.5k
  • Industrial and Manufacturing Engineering 2.4k
  • Water Science and Technology 2.8k
  • Building and Construction 1.3k
  • Environmental Engineering 1.2k
Replace John T. Novak with:
John T. Novak United States
Xinmin Zhan Ireland
Harald Horn Germany
Yuansong Wei China
Qingliang Zhao China
Vincenzo Belgiorno Italy
David C. Stuckey United Kingdom
Panyue Zhang China
R. D. Tyagi Canada
Rao Y. Surampalli United States
Wun Jern Ng relative to John T. Novak United States John T. Novak's profile →
Citations per field
00.5×2.6×
John T. Novak · 1×
Citations per year

Countries citing papers authored by Wun Jern Ng

Since Specialization
Citations

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

Fields of papers citing papers by Wun Jern Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wun Jern Ng. 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 Wun Jern Ng. The network helps show where Wun Jern Ng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201931
3 201957
4 201858
5 201810
6 20174
7 201664
8 201679
9 201618
10 201658
11 201519
12 20158
13 201536
14 201514
15 2015135
16 20148
17 201217
18 201261
19 2011380
20 20044

About Wun Jern Ng

Wun Jern Ng is a scholar working on Pollution, Industrial and Manufacturing Engineering and Water Science and Technology, having authored 179 papers that have together received 9.7k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (62 papers), Membrane Separation Technologies (43 papers), Anaerobic Digestion and Biogas Production (32 papers), Constructed Wetlands for Wastewater Treatment (25 papers), Microbial Fuel Cells and Bioremediation (22 papers), Pharmaceutical and Antibiotic Environmental Impacts (18 papers), Water Treatment and Disinfection (13 papers) and Membrane-based Ion Separation Techniques (12 papers). The work is most often cited by research in Pollution (3.5k citations), Industrial and Manufacturing Engineering (2.4k citations) and Water Science and Technology (2.8k citations). Wun Jern Ng has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Yu Liu, Soon Keat Tan, Yan Zhou, Ashutosh Agarwal, Richard M. Gersberg, Antoine P. Trzcinski, Say Leong Ong, Dongqing Zhang, Esra Uçkun Kıran and Guibing Zhu. Their work appears in journals such as Advanced Materials, Environmental Science & Technology and ACS Nano.

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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