Eric Tang

44 total papers · 1.0k total citations
23 papers, 124 citations indexed

About

Eric Tang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Eric Tang has authored 23 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Eric Tang's work include Advancements in Solid Oxide Fuel Cells (14 papers), Fuel Cells and Related Materials (10 papers) and Electrocatalysts for Energy Conversion (3 papers). Eric Tang is often cited by papers focused on Advancements in Solid Oxide Fuel Cells (14 papers), Fuel Cells and Related Materials (10 papers) and Electrocatalysts for Energy Conversion (3 papers). Eric Tang collaborates with scholars based in United States, Hong Kong and United Kingdom. Eric Tang's co-authors include Anthony Wood, Christopher Cherry, Ryan O’Hayre, Elizabeth Deakin, Canan Karakaya, Alexander Skabardonis, Robert J. Braun, Robert J. Kee, Neal P. Sullivan and Richard J. Koubek and has published in prestigious journals such as Current Biology, Transportation Research Record Journal of the Transportation Research Board and Discrete Mathematics.

In The Last Decade

Eric Tang

19 papers receiving 119 citations

Author Peers

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

Author Last Decade Papers Cites
Eric Tang 62 42 19 17 14 23 124
Keqin Chen 46 0.7× 30 0.7× 10 0.5× 4 0.2× 7 0.5× 23 179
Marc Mertens 36 0.6× 54 1.3× 39 2.1× 9 0.5× 4 0.3× 18 173
Yuhao Tong 8 0.1× 56 1.3× 13 0.7× 4 0.2× 27 1.9× 16 161
Masayuki Ogawa 47 0.8× 22 0.5× 17 0.9× 7 0.4× 5 0.4× 34 201
Éva D. Molnár 104 1.7× 13 0.3× 56 2.9× 72 4.2× 7 0.5× 20 258
Yidan Gao 29 0.5× 45 1.1× 7 0.4× 5 0.3× 5 0.4× 24 159
Wenhui Wang 80 1.3× 75 1.8× 18 0.9× 4 0.3× 24 220
Xia Cui 27 0.4× 24 0.6× 11 0.6× 5 0.3× 27 109
Chang-Gyu Kim 25 0.4× 16 0.4× 38 2.0× 2 0.1× 7 0.5× 34 249
Irmansyah 32 0.5× 37 0.9× 14 0.7× 1 0.1× 13 0.9× 46 233

Countries citing papers authored by Eric Tang

Since Specialization
Citations

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

Fields of papers citing papers by Eric Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Tang

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