Chan Song

1.4k citations
33 papers · 1.2k · h-index 17

Impact in

Papers in

Chan Song

31 papers receiving 1.2k citations

Peers

Chan Song
Comparison fields: 5 of 56
  • Process Chemistry and Technology 140
  • Inorganic Chemistry 336
  • Materials Chemistry 640
  • Catalysis 86
  • Spectroscopy 203
Replace Jai Anand Garg with:
Jai Anand Garg Switzerland
Bing Bian China
Wei‐Shang Lo United States
Belén Altava Spain
Maryam Mirza‐Aghayan Iran
Renjie Liu China
Li Yan China
Shuai‐Liang Yang China
Lijiao Zhou China
Lulu Gao China
Chan Song relative to Jai Anand Garg Switzerland Jai Anand Garg's profile →
Citations per field
00.5×2.7×
Jai Anand Garg · 1×
Citations per year

Countries citing papers authored by Chan Song

Since Specialization
Citations

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

Fields of papers citing papers by Chan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chan Song, 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 Chan Song Line = papers co-authored together Chan Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013253
2 2012220
3 2019182
4 201365
5 202043
6 201441
7 202239
8 202236
9 202135
10 201534
11 201929
12 201926
13 201226
14 202225
15 202024
16 201421
17 201318
18 201716
19 201712
20 20228

About Chan Song

Chan Song is a scholar working on Materials Chemistry, Molecular Biology, Electrical and Electronic Engineering, Organic Chemistry and Inorganic Chemistry, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (14 papers), Advanced Nanomaterials in Catalysis (11 papers), Electrochemical sensors and biosensors (7 papers), Advanced Battery Materials and Technologies (7 papers), Nanocluster Synthesis and Applications (4 papers), Advanced battery technologies research (4 papers), Advanced Battery Technologies Research (3 papers) and Carbon dioxide utilization in catalysis (3 papers). The work is most often cited by research in Process Chemistry and Technology (140 citations), Inorganic Chemistry (336 citations), Materials Chemistry (640 citations), Catalysis (86 citations) and Spectroscopy (203 citations). Chan Song has collaborated with scholars based in China, South Korea and Czechia. Frequent co-authors include Guanyao Wang, De‐Ming Kong, Cheng Yao, Yue Li, Wen‐Juan Ruan, Wei Ding, Haibo Liu, Yuewei Yao, Ze Chang and Ao Yu. Their work appears in journals such as Biosensors and Bioelectronics, Journal of Materials Chemistry B, Sensors and Actuators B Chemical, New Journal of Chemistry and Organic & Biomolecular Chemistry.

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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