Kaichen Wang

63 papers receiving 1.6k citations

Hit Papers

Eculizumab in Aquaporin-4–Positive Neuromyelitis Optica Spectrum Disorder 2019 · 536 citations
5362019202620212023100200300400500

Peers

Kaichen Wang
Comparison fields: 5 of 137
  • Energy Engineering and Power Technology 182
  • Neurology 457
  • Pathology and Forensic Medicine 477
  • Rheumatology 191
  • Renewable Energy, Sustainability and the Environment 181
Replace Alireza Khoshnevisan with:
Alireza Khoshnevisan Iran
Jian Meng China
Takashi Yano Japan
Emanuele Rizzuto Italy
Dong Li China
Junyuan Zhang China
Jiakun Zhang China
Juntao Zhang China
Xiaofeng Ye China
Lusi Zhang China
Kaichen Wang relative to Alireza Khoshnevisan Iran Alireza Khoshnevisan's profile →
Citations per field
00.5×4.1×
Alireza Khoshnevisan · 1×
Citations per year

Countries citing papers authored by Kaichen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kaichen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Eculizumab in Aquaporin-4–Positive Neuromyelitis Optica Spectrum Disorder
Hit paper breakdown →
2019536
2 201572
3 202056
4 202252
5 201952
6 202149
7 202247
8 201346
9 202142
10 202341
11 202439
12 202335
13 202235
14 202329
15 200626
16 201125
17 202024
18 202322
19 202322
20 202021

About Kaichen Wang

Kaichen Wang is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology, Neurology, Pathology and Forensic Medicine and Surgery, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hybrid Renewable Energy Systems (18 papers), Fuel Cells and Related Materials (16 papers), Multiple Sclerosis Research Studies (11 papers), Peripheral Neuropathies and Disorders (10 papers), Advanced Battery Technologies Research (7 papers), Phase Change Materials Research (7 papers), Epigenetics and DNA Methylation (5 papers) and Adsorption and Cooling Systems (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (182 citations), Neurology (457 citations), Pathology and Forensic Medicine (477 citations), Rheumatology (191 citations) and Renewable Energy, Sustainability and the Environment (181 citations). Kaichen Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chao Xu, Sean J. Pittock, Achim Berthele, Jacqueline Palace, Amy Pace, N. А. Totolyan, Róisín Armstrong, Michael Levy, Kazuo Fujihara and Dean M. Wingerchuk. Their work appears in journals such as Neurology, Renewable Energy, International Journal of Hydrogen Energy, Journal of Power Sources and Applied Energy.

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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