Shao-Dan Wang

526 citations
34 papers · 424 · h-index 14

Impact in

Papers in

Shao-Dan Wang

34 papers receiving 421 citations

Peers

Shao-Dan Wang
Comparison fields: 5 of 40
  • Inorganic Chemistry 257
  • Spectroscopy 240
  • Bioengineering 29
  • Industrial and Manufacturing Engineering 41
  • Materials Chemistry 193
Replace Zhen-Peng Dong with:
Zhen-Peng Dong China
Xiaoxiong Zhang China
Meng‐Yue Guo China
Yu Wu China
Akbar Bakhtiari Iran
Duan Aihong China
Sara Sheykhi United States
Xiaoyang Zhao China
Miyao Inoue Japan
Shao-Dan Wang relative to Zhen-Peng Dong China Zhen-Peng Dong's profile →
Citations per field
00.5×4.1×
Zhen-Peng Dong · 1×
Citations per year

Countries citing papers authored by Shao-Dan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Dan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Dan Wang. 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 Shao-Dan Wang. The network helps show where Shao-Dan Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202455
2 201949
3 202029
4 202028
5 201921
6 202116
7 202315
8 201815
9 202215
10 201815
11 202115
12 202114
13 202313
14 202113
15 202113
16 20219
17 20219
18 20229
19 20218
20 20218

About Shao-Dan Wang

Shao-Dan Wang is a scholar working on Spectroscopy, Inorganic Chemistry, Materials Chemistry, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 34 papers that have together received 424 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (26 papers), Metal-Organic Frameworks: Synthesis and Applications (26 papers), Luminescence and Fluorescent Materials (6 papers), Advanced Nanomaterials in Catalysis (5 papers), Magnetism in coordination complexes (4 papers), Chemical Synthesis and Characterization (4 papers), Electrochemical sensors and biosensors (3 papers) and Lanthanide and Transition Metal Complexes (3 papers). The work is most often cited by research in Inorganic Chemistry (257 citations), Spectroscopy (240 citations), Bioengineering (29 citations), Industrial and Manufacturing Engineering (41 citations) and Materials Chemistry (193 citations). Shao-Dan Wang has collaborated with scholars based in China. Frequent co-authors include Yan‐Ning Wang, Kangzhe Cao, Wenjing Wang, Guo‐Dong Zou, Qing‐Feng Yang, Yufei Zhao, Li−Li Wen, Kangle Lv, Qian Kang and Liyuan Huang. Their work appears in journals such as Journal of Solid State Chemistry, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Inorganica Chimica Acta, Journal of Molecular Structure and Applied Catalysis B: Environmental.

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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