Daniel T. W. Tang

12 total papers · 657 total citations
6 papers, 550 citations indexed

About

Daniel T. W. Tang is a scholar working on Pollution, Molecular Biology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daniel T. W. Tang has authored 6 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pollution, 2 papers in Molecular Biology and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daniel T. W. Tang's work include Wastewater Treatment and Nitrogen Removal (3 papers), Food composition and properties (2 papers) and Polysaccharides Composition and Applications (1 paper). Daniel T. W. Tang is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (3 papers), Food composition and properties (2 papers) and Polysaccharides Composition and Applications (1 paper). Daniel T. W. Tang collaborates with scholars based in Australia, Hong Kong and Netherlands. Daniel T. W. Tang's co-authors include Robert G. Gilbert, Morgan Tizzotti, Christian Schaefer, Michael C. Sweedman, Jovin Hasjim, Kinnari J. Shelat, Enpeng Li, Tong Zhang, Frankie Tat Kwong Lau and Ying Yang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Applied Microbiology and Biotechnology and Water Science & Technology.

In The Last Decade

Daniel T. W. Tang

6 papers receiving 542 citations

Author Peers

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

Author						Papers	Cites
Daniel T. W. Tang	255	174	131	104	89	6	550
G. Zayed	111 0.4×	237 1.4×	76 0.6×	81 0.8×	85 1.0×	15	584
Júlia Fernanda Urbano Marinho	64 0.3×	119 0.7×	72 0.5×	84 0.8×	156 1.8×	10	599
Xinmei Feng	112 0.4×	191 1.1×	77 0.6×	140 1.3×	121 1.4×	15	563
Bisma Malik	77 0.3×	112 0.6×	101 0.8×	28 0.3×	203 2.3×	21	583
Maria Teresa Santos	51 0.2×	181 1.0×	135 1.0×	37 0.4×	88 1.0×	16	558
Meghanath Prabhu	48 0.2×	98 0.6×	53 0.4×	69 0.7×	46 0.5×	19	597
Alexander Laurentin	169 0.7×	151 0.9×	42 0.3×	16 0.2×	163 1.8×	13	525
Gopal Kedia	179 0.7×	208 1.2×	71 0.5×	12 0.1×	42 0.5×	13	602
Stefan Höltinger	114 0.4×	87 0.5×	51 0.4×	13 0.1×	46 0.5×	10	505
Prema Viswanath	22 0.1×	145 0.8×	97 0.7×	109 1.0×	165 1.9×	16	556

Countries citing papers authored by Daniel T. W. Tang

Since Specialization

Citations

This map shows the geographic impact of Daniel T. W. Tang'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 Daniel T. W. Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. W. Tang more than expected).

Fields of papers citing papers by Daniel T. W. Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. W. Tang. 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 Daniel T. W. Tang. The network helps show where Daniel T. W. Tang may publish in the future.

Co-authorship network of co-authors of Daniel T. W. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. W. Tang. A scholar is included among the top collaborators of Daniel T. W. Tang 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 Daniel T. W. Tang. Daniel T. W. Tang 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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