R. Wang

1.6k citations
22 papers · 103 · h-index 5

Impact in

Papers in

R. Wang

19 papers receiving 96 citations

Peers

R. Wang
Comparison fields: 5 of 24
  • Artificial Intelligence 39
  • Electrical and Electronic Engineering 61
  • Computer Networks and Communications 21
  • Atomic and Molecular Physics, and Optics 24
  • Instrumentation 2
Replace Tianshi Wang with:
Tianshi Wang United States
Cupjin Huang United States
Xin-Chuan Wu United States
Matthew Curry United States
Owen Lockwood United States
Wendson A. S. Barbosa United States
Tee-Hiang Cheng Singapore
Yusuke Naito Japan
Marion Videau France
Siddharth Varughese United States
R. Wang relative to Tianshi Wang United States Tianshi Wang's profile →
Citations per field
00.5×
Tianshi Wang · 1×
Citations per year

Countries citing papers authored by R. Wang

Since Specialization
Citations

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

Fields of papers citing papers by R. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201822
2 201218
3 201817
4 20199
5 20225
6 20214
7 20234
8 20214
9 20234
10 20233
11 20242
12 20232
13 20232
14 20241
15 20231
16 20251
17 20231
18 20231
19 20221
20 20181

About R. Wang

R. Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Molecular Biology and Plant Science, having authored 22 papers that have together received 103 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Optical Network Technologies (9 papers), Quantum Computing Algorithms and Architecture (8 papers), Advanced Photonic Communication Systems (6 papers), Advanced Optical Network Technologies (5 papers), Quantum Mechanics and Applications (4 papers), Photonic and Optical Devices (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Artificial Intelligence (39 citations), Electrical and Electronic Engineering (61 citations), Computer Networks and Communications (21 citations), Atomic and Molecular Physics, and Optics (24 citations) and Instrumentation (2 citations). R. Wang has collaborated with scholars based in United Kingdom, China and South Sudan. Frequent co-authors include Reza Nejabati, Dimitra Simeonidou, E. Hugues-Salas, George T. Kanellos, Daqing Gu, Liang Liu, Shuangyi Yan, Zhenning Shi, Yongsheng Ou and Fanxing Meng. Their work appears in journals such as Scientific Reports, Biologia Plantarum, Photosynthetica, Applied Ecology and Environmental Research and Bristol Research (University of Bristol).

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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