Ding-Quan Ng

721 citations
24 papers · 613 indexed · h-index 15
Topics
Water Treatment and Disinfection (12 papers)Heavy Metal Exposure and Toxicity (11 papers)Heavy metals in environment (7 papers)
Partner nations
TaiwanMalaysiaSingapore

In The Last Decade

Ding-Quan Ng

24 papers receiving 601 citations

Peers

Ding-Quan Ng
Comparison fields: 5 of 78
  • Materials Chemistry 233
  • Renewable Energy, Sustainability and the Environment 163
  • Health, Toxicology and Mutagenesis 157
  • Pollution 127
  • Mechanical Engineering 90
Replace Dzmitry Hrynsphan with:
Dzmitry Hrynsphan Belarus
Guangli Xiu China
Zdeněk Marušák Czechia
Feilong Gao China
Jun Fu China
Savitskaya Tatsiana Belarus
Junyu Wang China
Afaq Hassan China
Longjie Ji China
Ding-Quan Ng relative to Dzmitry Hrynsphan Belarus Dzmitry Hrynsphan's profile →
Citations per field
00.5×
Dzmitry Hrynsphan · 1×
Citations per year

Countries citing papers authored by Ding-Quan Ng

Since Specialization
Citations

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

Fields of papers citing papers by Ding-Quan Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-Quan 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 Ding-Quan Ng. The network helps show where Ding-Quan Ng may publish in the future.

Co-authorship network of co-authors of Ding-Quan Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Ding-Quan Ng. A scholar is included among the top collaborators of Ding-Quan Ng 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 Ding-Quan Ng. Ding-Quan Ng 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
#WorkIndexed citations
1 1
2 4
3 1
4 1
5 1
6 3
7 18
8 55
9 20
10 25
11 20
12 19
13 17
14 56
15 81
16 26
17 28
18 4
19 29
20 30

About Ding-Quan Ng

Ding-Quan Ng is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Geochemistry and Petrology, having authored 24 papers that have together received 613 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (12 papers), Heavy Metal Exposure and Toxicity (11 papers) and Heavy metals in environment (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (157 citations), Pollution (127 citations) and Renewable Energy, Sustainability and the Environment (163 citations). Ding-Quan Ng has collaborated with scholars based in Taiwan, Malaysia and Singapore. Frequent co-authors include Yi-Pin Lin, Zeeshan Haider Jaffari, Sze–Mun Lam, Mohammed J.K. Bashir, Hong‐Yuan Lian, Yeng‐Fong Shih, Yi‐Hsiuan Yu, Jin–Chung Sin, Dileep Kumar and Abdul Rahman Mohamed. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

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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