Si Ling Ng

58 total papers · 967 total citations
43 papers, 782 citations indexed

About

Si Ling Ng is a scholar working on Water Science and Technology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Si Ling Ng has authored 43 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Water Science and Technology, 22 papers in Pollution and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Si Ling Ng's work include Adsorption and biosorption for pollutant removal (16 papers), Chromium effects and bioremediation (9 papers) and Wastewater Treatment and Nitrogen Removal (8 papers). Si Ling Ng is often cited by papers focused on Adsorption and biosorption for pollutant removal (16 papers), Chromium effects and bioremediation (9 papers) and Wastewater Treatment and Nitrogen Removal (8 papers). Si Ling Ng collaborates with scholars based in Malaysia, Pakistan and Hong Kong. Si Ling Ng's co-authors include Adeline Su Yien Ting, Yuen Lin Cheow, Si Hui Chen, Jun Wei Lim, Wen‐Da Oh, P.E. Lim, Rohana Adnan, Chye‐Eng Seng, Ewe Seng Ch’ng and Janarthanan Pushpamalar and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and Chemosphere.

In The Last Decade

Si Ling Ng

42 papers receiving 767 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Si Ling Ng	377	266	169	163	132	43	782
Pravin Punamiya	292 0.8×	390 1.5×	118 0.7×	121 0.7×	135 1.0×	23	878
Rongni Dou	268 0.7×	205 0.8×	136 0.8×	119 0.7×	146 1.1×	20	745
Mimi Suliza Muhamad	319 0.8×	165 0.6×	127 0.8×	132 0.8×	97 0.7×	34	691
Mónica S.F. Santos	280 0.7×	284 1.1×	150 0.9×	143 0.9×	118 0.9×	35	749
Boqing Tie	229 0.6×	438 1.6×	144 0.9×	127 0.8×	148 1.1×	37	909
Hassan Rasoulzadeh	407 1.1×	150 0.6×	118 0.7×	130 0.8×	111 0.8×	33	772
Qing Huang	298 0.8×	376 1.4×	138 0.8×	113 0.7×	91 0.7×	25	777
Asim Yaqub	322 0.9×	112 0.4×	110 0.7×	130 0.8×	105 0.8×	56	767
Meile Chu	289 0.8×	195 0.7×	110 0.7×	205 1.3×	110 0.8×	29	703
Nádia Hortense Torres	227 0.6×	232 0.9×	123 0.7×	116 0.7×	102 0.8×	41	729

Countries citing papers authored by Si Ling Ng

Since Specialization

Citations

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

Fields of papers citing papers by Si Ling Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Ling Ng

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

All Works

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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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