Khang Wei Tan

54 total papers · 1.4k total citations
41 papers, 1.1k citations indexed

About

Khang Wei Tan is a scholar working on Biomaterials, Biomedical Engineering and Food Science. According to data from OpenAlex, Khang Wei Tan has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomaterials, 13 papers in Biomedical Engineering and 10 papers in Food Science. Recurrent topics in Khang Wei Tan's work include Advanced Cellulose Research Studies (17 papers), Biofuel production and bioconversion (8 papers) and Polysaccharides Composition and Applications (7 papers). Khang Wei Tan is often cited by papers focused on Advanced Cellulose Research Studies (17 papers), Biofuel production and bioconversion (8 papers) and Polysaccharides Composition and Applications (7 papers). Khang Wei Tan collaborates with scholars based in Malaysia, China and Brunei. Khang Wei Tan's co-authors include Siah Ying Tang, Sivakumar Manickam, Irene Mei Leng Chew, Darren Yi Sern Low, Zhen Hong Ban, Kar Lin Nyam, Chin Ping Tan, Thomas Shean Yaw Choong, Chien Wei Ooi and Suyin Gan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Khang Wei Tan

38 papers receiving 1.1k citations

Hit Papers

Ultrasonic cavitation: An... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Khang Wei Tan 377 286 261 206 130 41 1.1k
Jin Xu 296 0.8× 233 0.8× 164 0.6× 160 0.8× 114 0.9× 62 1.0k
Paulo Rodrigo Stival Bittencourt 242 0.6× 256 0.9× 230 0.9× 151 0.7× 104 0.8× 79 1.0k
Hiléia K.S. Souza 687 1.8× 395 1.4× 186 0.7× 127 0.6× 113 0.9× 38 1.3k
Jianbin Li 221 0.6× 220 0.8× 232 0.9× 115 0.6× 118 0.9× 42 913
Katarzyna Wilpiszewska 619 1.6× 164 0.6× 306 1.2× 111 0.5× 98 0.8× 45 1.2k
Jiahao Yu 597 1.6× 368 1.3× 284 1.1× 90 0.4× 283 2.2× 47 1.5k
Yucang Zhang 560 1.5× 252 0.9× 185 0.7× 276 1.3× 122 0.9× 73 1.3k
Zilong Deng 510 1.4× 108 0.4× 269 1.0× 221 1.1× 234 1.8× 47 1.2k
Lisha Zhao 252 0.7× 205 0.7× 360 1.4× 135 0.7× 92 0.7× 79 1.0k
Mohammad Hassan Shahavi 196 0.5× 175 0.6× 276 1.1× 188 0.9× 93 0.7× 54 1.2k

Countries citing papers authored by Khang Wei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Khang Wei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khang Wei Tan. 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 Khang Wei Tan. The network helps show where Khang Wei Tan may publish in the future.

Co-authorship network of co-authors of Khang Wei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Khang Wei Tan. A scholar is included among the top collaborators of Khang Wei Tan 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 Khang Wei Tan. Khang Wei Tan 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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