Tao Dai

135 total papers · 3.1k total citations
80 papers, 2.5k citations indexed

About

Tao Dai is a scholar working on Mechanical Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Tao Dai has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanical Engineering, 29 papers in Biomedical Engineering and 16 papers in Industrial and Manufacturing Engineering. Recurrent topics in Tao Dai's work include Extraction and Separation Processes (27 papers), Recycling and Waste Management Techniques (16 papers) and Nanoplatforms for cancer theranostics (13 papers). Tao Dai is often cited by papers focused on Extraction and Separation Processes (27 papers), Recycling and Waste Management Techniques (16 papers) and Nanoplatforms for cancer theranostics (13 papers). Tao Dai collaborates with scholars based in China, United States and Denmark. Tao Dai's co-authors include Qin Xu, Tianming Gao, Yun Shu, Qiuyu Ye, Xiao Hu, Bo Zhang, Changzhi Li, Aiqin Wang, Gaoshang Wang and Tao Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tao Dai

76 papers receiving 2.4k citations

Hit Papers

Encapsulation of Luminesc... 2021 2026 2022 2024 2021 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Tao Dai 880 844 595 406 381 80 2.5k
Syie Luing Wong 484 0.6× 1.1k 1.3× 687 1.2× 917 2.3× 235 0.6× 89 4.1k
Afrasyab Khan 705 0.8× 914 1.1× 879 1.5× 130 0.3× 408 1.1× 146 3.7k
Mohd Ali Hassan 625 0.7× 554 0.7× 1.1k 1.8× 329 0.8× 600 1.6× 263 4.2k
Lu Dong 443 0.5× 538 0.6× 540 0.9× 578 1.4× 363 1.0× 189 2.9k
Muhammad Aslam 782 0.9× 1.7k 2.0× 493 0.8× 511 1.3× 512 1.3× 95 4.1k
Gholamreza Zahedi 927 1.1× 704 0.8× 618 1.0× 130 0.3× 568 1.5× 105 4.6k
Weijin Zhang 681 0.8× 1.4k 1.7× 890 1.5× 417 1.0× 362 1.0× 117 4.4k
Xiaojing Zhang 275 0.3× 579 0.7× 648 1.1× 495 1.2× 618 1.6× 203 4.1k
Min Song 625 0.7× 1.4k 1.6× 1.4k 2.3× 435 1.1× 452 1.2× 144 4.2k
Mingming Lu 331 0.4× 774 0.9× 301 0.5× 120 0.3× 189 0.5× 56 1.9k

Countries citing papers authored by Tao Dai

Since Specialization
Citations

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

Fields of papers citing papers by Tao Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tao Dai. 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 Tao Dai. The network helps show where Tao Dai may publish in the future.

Co-authorship network of co-authors of Tao Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Dai. A scholar is included among the top collaborators of Tao Dai 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 Tao Dai. Tao Dai 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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