Tian Gan

2.5k total citations
66 papers, 2.2k citations indexed

About

Tian Gan is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Materials Chemistry. According to data from OpenAlex, Tian Gan has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Electrical and Electronic Engineering, 31 papers in Electrochemistry and 27 papers in Materials Chemistry. Recurrent topics in Tian Gan's work include Electrochemical sensors and biosensors (38 papers), Electrochemical Analysis and Applications (31 papers) and Advanced Nanomaterials in Catalysis (13 papers). Tian Gan is often cited by papers focused on Electrochemical sensors and biosensors (38 papers), Electrochemical Analysis and Applications (31 papers) and Advanced Nanomaterials in Catalysis (13 papers). Tian Gan collaborates with scholars based in China, Finland and United States. Tian Gan's co-authors include Yan‐Ming Liu, Junyong Sun, Lingling Wang, Hai‐Bo Wang, Lan Wang, Zhaoxia Shi, Ke‐Jing Huang, Haibo Wang, Yujie Liu and Shengshui Hu and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Tian Gan

64 papers receiving 2.2k citations

Peers

Tian Gan
Comparison fields: 5 of 87
  • Electrical and Electronic Engineering 1.3k
  • Materials Chemistry 806
  • Electrochemistry 747
  • Molecular Biology 430
  • Electronic, Optical and Magnetic Materials 429
Replace Pramod K. Kalambate with:
Pramod K. Kalambate India
Sayee Kannan Ramaraj Taiwan
Balasubramanian Sriram Taiwan
Jiao Yang China
Mary George India
Esmail Sohouli Iran
Umamaheswari Rajaji Taiwan
Edson Nossol Brazil
A.T. Ezhil Vilian South Korea
Hanbing Rao China
Pramod K. Kalambate India View profile →
Citations per field, relative to Tian Gan
Tian Gan · 1×
Citations per year, relative to Tian Gan
Tian Gan · 1×

Countries citing papers authored by Tian Gan

Since Specialization
Citations

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

Fields of papers citing papers by Tian Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Gan. A scholar is included among the top collaborators of Tian Gan 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 Tian Gan. Tian Gan 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
# Work Indexed citations
1 1
2 2
3 0
4 5
5 0
6 1
7 3
8 7
9 15
10 9
11 11
12 13
13 16
14 36
15 49
16 75
17 77
18 60
19 392
20 21

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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