Teck Leong Tan

3.8k citations
80 papers · 3.1k indexed · h-index 31
Topics
Electrocatalysts for Energy Conversion (20 papers)MXene and MAX Phase Materials (13 papers)Machine Learning in Materials Science (9 papers)

In The Last Decade

Teck Leong Tan

78 papers receiving 3.1k citations

Peers

Teck Leong Tan
Comparison fields: 5 of 68
  • Materials Chemistry 1.7k
  • Electrical and Electronic Engineering 1.6k
  • Renewable Energy, Sustainability and the Environment 997
  • Electronic, Optical and Magnetic Materials 586
  • Biomedical Engineering 344
Replace James L. Hart with:
James L. Hart United States
Ruiwen Shao China
Kevin R. Zavadil United States
Dominik Kramer Germany
Tomoharu Tokunaga Japan
Laure Guétaz France
Shiyao Shan United States
Frédéric Le Cras France
Gengmin Zhang China
Vasiliki Tileli Switzerland
Teck Leong Tan relative to James L. Hart United States James L. Hart's profile →
Citations per field
00.5×10×15×18.8×
James L. Hart · 1×
Citations per year

Countries citing papers authored by Teck Leong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Teck Leong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teck Leong Tan

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 1
4 4
5 28
6 1
7 13
8 32
9 21
10 18
11 30
12 25
13 37
14 33
15 68
16 40
17 162
18 167
19 26
20 121

About Teck Leong Tan

Teck Leong Tan is a scholar working on Metals and Alloys, Renewable Energy, Sustainability and the Environment and Materials Chemistry, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (20 papers), MXene and MAX Phase Materials (13 papers) and Machine Learning in Materials Science (9 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (997 citations), Materials Chemistry (1.7k citations) and Electronic, Optical and Magnetic Materials (586 citations). Teck Leong Tan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include D. D. Johnson, Oleksandr I. Malyi, Sergei Manzhos, Wee Siang Vincent Lee, Junmin Xue, Hongmei Jin, Kewu Bai, Ting Xiong, Man‐Fai Ng and Lin‐Lin Wang. Their work appears in journals such as Nature Communications, Nano Letters and ACS Nano.

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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