Kaidong Wang

1.5k citations
56 papers · 1.2k · h-index 17

Impact in

Papers in

Kaidong Wang

52 papers receiving 1.1k citations

Peers

Kaidong Wang
Comparison fields: 5 of 125
  • Electrochemistry 107
  • Health Informatics 21
  • Automotive Engineering 118
  • Mechanical Engineering 280
  • Polymers and Plastics 101
Replace Kunyang Wang with:
Kunyang Wang China
Di Liu China
Minhan Li China
Eric Wu United States
Jinhua Li China
Ruofan Zhang China
Shengming Wang China
Fenglei Li China
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Kaidong Wang relative to Kunyang Wang China Kunyang Wang's profile →
Citations per field
00.5×10.5×
Kunyang Wang · 1×
Citations per year

Countries citing papers authored by Kaidong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kaidong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020156
2 2019120
3 2021100
4 201987
5 201879
6 201658
7 201845
8 202342
9 202441
10 202134
11 201829
12 202427
13 202019
14 202218
15 202318
16 201716
17 202316
18 202315
19 202415
20 202215

About Kaidong Wang

Kaidong Wang is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Neurology, Biomedical Engineering and Materials Chemistry, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Electrochemical Analysis and Applications (4 papers), Electrochemical sensors and biosensors (4 papers), Advanced Cellulose Research Studies (3 papers), Paraquat toxicity studies and treatments (3 papers), Cooperative Communication and Network Coding (3 papers), Neuroscience and Neural Engineering (3 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Electrochemistry (107 citations), Health Informatics (21 citations), Automotive Engineering (118 citations), Mechanical Engineering (280 citations) and Polymers and Plastics (101 citations). Kaidong Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guoqiang Jiang, Yunzhong Liu, Zhiguang Zhou, Can Wu, Konstantinos Psounis, Xiaohui Liu, Feng Wang, Nan Jing, Changming Liu and Can Wu. Their work appears in journals such as Ecotoxicology and Environmental Safety, Biosensors and Bioelectronics, Science Advances, Bioengineering & Translational Medicine and Industrial Crops and Products.

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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