Long Tan

1.0k citations
46 papers · 817 · h-index 17

Impact in

Papers in

Long Tan

45 papers receiving 803 citations

Peers

Long Tan
Comparison fields: 5 of 37
  • Automotive Engineering 199
  • Electrical and Electronic Engineering 630
  • Electronic, Optical and Magnetic Materials 183
  • Materials Chemistry 305
  • Polymers and Plastics 52
Replace P. Suresh with:
P. Suresh India
Anna d’Entremont United States
Pooja Nath United States
Jijun Feng China
Hongli Wang China
Pengfei Wu China
Andrew J. Gmitter United States
Kunlei Zhu China
Haocheng Guo China
Long Tan relative to P. Suresh India P. Suresh's profile →
Citations per field
00.5×6.9×
P. Suresh · 1×
Citations per year

Countries citing papers authored by Long Tan

Since Specialization
Citations

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

Fields of papers citing papers by Long Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Long Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Long Tan Line = papers co-authored together Long Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201059
2 202057
3 201152
4 202049
5 201748
6 201043
7 201741
8 202340
9 202140
10 202237
11 201333
12 200932
13 201624
14 202222
15 201921
16 202118
17 201717
18 201015
19 202314
20 201514

About Long Tan

Long Tan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Automotive Engineering and Polymers and Plastics, having authored 46 papers that have together received 817 indexed citations. Recurring topics across this work include Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (19 papers), Supercapacitor Materials and Fabrication (11 papers), Advanced Battery Technologies Research (8 papers), Quantum Dots Synthesis And Properties (7 papers), Nanocluster Synthesis and Applications (6 papers), Carbon and Quantum Dots Applications (4 papers) and Extraction and Separation Processes (4 papers). The work is most often cited by research in Automotive Engineering (199 citations), Electrical and Electronic Engineering (630 citations), Electronic, Optical and Magnetic Materials (183 citations), Materials Chemistry (305 citations) and Polymers and Plastics (52 citations). Long Tan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haowen Liu, Hao Tang, Dongling Ma, Mohamed Chaker, Xintang Huang, Shuguang Deng, Guiping Dai, Cuixia Cheng, Ying Yu and Zheling Zeng. Their work appears in journals such as ACS Applied Materials & Interfaces, Journal of Alloys and Compounds, ACS Applied Nano Materials, Solid State Ionics and Nanoscale.

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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