Kun Tang

77 papers receiving 6.9k citations

Hit Papers

Efficient Synthesis of Heteroatom (N or S)‐Doped Graphene...2012202620162021201220122020201320212505007501000

Peers

Kun Tang
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 5.5k
  • Electronic, Optical and Magnetic Materials 2.6k
  • Renewable Energy, Sustainability and the Environment 2.2k
  • Materials Chemistry 1.9k
  • Automotive Engineering 727
Replace Montree Sawangphruk with:
Montree Sawangphruk Thailand
Yingke Zhou China
Hongwei Mi China
Wei‐Hong Lai Australia
Shaozhuan Huang China
Gang Huang China
Wen Luo China
Yue Xu China
Tengfei Zhou China
Kun Tang relative to Montree Sawangphruk Thailand Montree Sawangphruk's profile →
Citations per field
00.5×2.9×
Montree Sawangphruk · 1×
Citations per year

Countries citing papers authored by Kun Tang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Tang. A scholar is included among the top collaborators of Kun 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 Kun Tang. Kun Tang 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 1
2 0
3 2
4
Boosting Nitrate to Ammonia via the Optimization of Key Intermediate Processes by Low‐Coordinated Cu–Cu Sitesbreakdown →
87
5 5
6 7
7 7
8 2
9 4
10 23
11
Atomic‐Level Modulation of Electronic Density at Cobalt Single‐Atom Sites Derived from Metal–Organic Frameworks: Enhanced Oxygen Reduction Performancebreakdown →
585
12 15
13 13
14 1
15 5
16 271
17 5
18
Nitrogen doped porous carbon fibres as anode materials for sodium ion batteries with excellent rate performancebreakdown →
552
19 212
20 69

About Kun Tang

Kun Tang is a scholar working on Electronic, Optical and Magnetic Materials, Business and International Management and Automotive Engineering, having authored 79 papers that have together received 6.9k indexed citations. Recurring topics across this work include Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (21 papers) and Supercapacitor Materials and Fabrication (18 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (2.6k citations), Renewable Energy, Sustainability and the Environment (2.2k citations) and Electrical and Electronic Engineering (5.5k citations). Kun Tang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Joachim Maier, Lijun Fu, Peter A. van Aken, Yan Yu, Shubin Yang, Kläus Müllen, Linjie Zhi, Xinliang Feng, Haibo Hu and Robin J. White. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Nano Letters.

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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