Runxin Wang

676 citations
42 papers · 475 · h-index 12

Impact in

Papers in

Runxin Wang

39 papers receiving 459 citations

Peers

Runxin Wang
Comparison fields: 5 of 91
  • Computer Networks and Communications 268
  • Electrical and Electronic Engineering 219
  • Information Systems 85
  • Biological Psychiatry 9
  • Artificial Intelligence 68
Replace Jingqi Yang with:
Jingqi Yang China
Tao Chi China
Pingping Lin China
Bowen Li China
Junping Wang China
T. Nießen Germany
Jeonghun Cho South Korea
Seon-Yeong Park South Korea
Ehsan K. Ardestani United States
Runxin Wang relative to Jingqi Yang China Jingqi Yang's profile →
Citations per field
00.5×9.5×
Jingqi Yang · 1×
Citations per year

Countries citing papers authored by Runxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Runxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014117
2 201343
3 202132
4 201529
5 201628
6 202123
7 202118
8 202214
9 200713
10 201412
11 201611
12 201611
13 202410
14 200710
15 202110
16 20129
17 20238
18 20248
19 20167
20 20096

About Runxin Wang

Runxin Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology, Artificial Intelligence and Information Systems, having authored 42 papers that have together received 475 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (8 papers), Multilevel Inverters and Converters (8 papers), Error Correcting Code Techniques (8 papers), Advanced Wireless Communication Techniques (8 papers), Silicon Carbide Semiconductor Technologies (6 papers), Cloud Computing and Resource Management (5 papers), Gut microbiota and health (5 papers) and Microgrid Control and Optimization (4 papers). The work is most often cited by research in Computer Networks and Communications (268 citations), Electrical and Electronic Engineering (219 citations), Information Systems (85 citations), Biological Psychiatry (9 citations) and Artificial Intelligence (68 citations). Runxin Wang has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Rongke Liu, Lei Shi, Jinjun Liu, John Furlong, Brendan Jennings, Lisandro Zambenedetti Granville, Rafael Pereira Esteves, Juliano Araújo Wickboldt, Yi Hou and Junya Honda. Their work appears in journals such as IEEE Communications Letters, iScience, Journal of Membrane Science, Chinese Science Bulletin (Chinese Version) and Advanced Science.

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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