Ran Wang

2.3k citations
101 papers · 1.7k · 1 hit paper · h-index 21

Impact in

Papers in

Ran Wang

92 papers receiving 1.6k citations

Ran Wang's Hit Papers

A high-performance neuroprosthesis for speech decoding and avatar control 2023 · 237 citations
2370+1+2Years since publication50100150200

Peers

Ran Wang
Comparison fields: 5 of 136
  • Renewable Energy, Sustainability and the Environment 254
  • Electrical and Electronic Engineering 587
  • Ceramics and Composites 56
  • Cognitive Neuroscience 174
  • Materials Chemistry 417
Replace Shan Yao with:
Shan Yao China
Weiguo Wang China
Weixiong Li China
Heng Zhang China
Xiaoqiang Wang China
Zirui Wang China
Yanan Liu China
Jungwook Choi South Korea
Xuezeng Zhao China
Ran Wang relative to Shan Yao China Shan Yao's profile →
Citations per field
00.5×2.7×
Shan Yao · 1×
Citations per year

Countries citing papers authored by Ran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A high-performance neuroprosthesis for speech decoding and avatar control
Hit paper breakdown →
2023237
2 2022152
3 2012126
4 202072
5 202170
6 202164
7 202164
8 202059
9 202044
10 202143
11 201640
12 202238
13 201938
14 202032
15 202026
16 202225
17 202325
18 201924
19 202123
20 202320

About Ran Wang

Ran Wang is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Materials Chemistry, Mechanics of Materials and Aerospace Engineering, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include High-Temperature Coating Behaviors (10 papers), Electrohydrodynamics and Fluid Dynamics (9 papers), Metal and Thin Film Mechanics (9 papers), Lubricants and Their Additives (8 papers), Diamond and Carbon-based Materials Research (7 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Electrocatalysts for Energy Conversion (5 papers) and Nuclear Materials and Properties (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (254 citations), Electrical and Electronic Engineering (587 citations), Ceramics and Composites (56 citations), Cognitive Neuroscience (174 citations) and Materials Chemistry (417 citations). Ran Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wenjuan Yin, Tian-shun Dong, Guolu Li, Yiqin Ding, Jianxin Deng, Rui Ding, Benjamin S. Hsiao, Benjamin Chu, Yang Liu and Hongyang Ma. Their work appears in journals such as Surface and Coatings Technology, Wear, Journal of Alloys and Compounds, Ceramics International and Geocarto International.

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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