Tao Long

45 total papers · 571 total citations
35 papers, 468 citations indexed

About

Tao Long is a scholar working on Materials Chemistry, Biomedical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Tao Long has authored 35 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 9 papers in Biomedical Engineering and 7 papers in Civil and Structural Engineering. Recurrent topics in Tao Long's work include Advancements in Battery Materials (5 papers), Concrete and Cement Materials Research (4 papers) and Ultrasound and Hyperthermia Applications (4 papers). Tao Long is often cited by papers focused on Advancements in Battery Materials (5 papers), Concrete and Cement Materials Research (4 papers) and Ultrasound and Hyperthermia Applications (4 papers). Tao Long collaborates with scholars based in China, United States and France. Tao Long's co-authors include Xiaoshuang Shi, Qingyuan Wang, Hongen Zhang, Gaochuang Cai, Lang Li, Prabir Kumar Sarker, Shi Qiu, Xiang Yuan Xiong, Zhilang Xu and Rong Zhou and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Engineering Journal and Carbohydrate Polymers.

In The Last Decade

Tao Long

32 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Tao Long 128 116 111 86 80 35 468
Shuang Liang 181 1.4× 151 1.3× 51 0.5× 71 0.8× 56 0.7× 36 423
Hui Chen 143 1.1× 189 1.6× 67 0.6× 43 0.5× 115 1.4× 35 531
Shaik Inayath Basha 168 1.3× 144 1.2× 117 1.1× 65 0.8× 29 0.4× 23 518
Olga Naboka 56 0.4× 99 0.9× 164 1.5× 173 2.0× 138 1.7× 27 461
M.M.S. Wahsh 56 0.4× 202 1.7× 74 0.7× 48 0.6× 30 0.4× 32 492
Xiaosai Hu 65 0.5× 166 1.4× 131 1.2× 105 1.2× 25 0.3× 25 479
Meng Fu 46 0.4× 161 1.4× 130 1.2× 59 0.7× 54 0.7× 39 487
Daniela Zambelli Mezalira 38 0.3× 229 2.0× 130 1.2× 87 1.0× 45 0.6× 29 513
Norsuria Mahmed 149 1.2× 204 1.8× 73 0.7× 29 0.3× 23 0.3× 47 483
Nurul Asma Samsudin 49 0.4× 125 1.1× 142 1.3× 26 0.3× 54 0.7× 24 468

Countries citing papers authored by Tao Long

Since Specialization
Citations

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

Fields of papers citing papers by Tao Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Long

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