Bin Wang

3.4k citations
262 papers · 2.4k · h-index 26

Impact in

Papers in

Bin Wang

225 papers receiving 2.3k citations

Peers

Bin Wang
Comparison fields: 5 of 141
  • Control and Systems Engineering 520
  • Computer Networks and Communications 360
  • Automotive Engineering 167
  • Ocean Engineering 175
  • Mechanical Engineering 384
Replace Sumit Singh Chauhan with:
Sumit Singh Chauhan India
Dongshu Wang China
Feng Bin China
Xiaojun Zhou China
Yi Liu China
Lefteri H. Tsoukalas United States
Hui Chen China
Nachaat Mohamed India
Zhixin Li China
Bin Wang relative to Sumit Singh Chauhan India Sumit Singh Chauhan's profile →
Citations per field
00.5×50×100×151×
Sumit Singh Chauhan · 1×
Citations per year

Countries citing papers authored by Bin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 262 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012165
2 2011161
3 2011111
4 202086
5 200581
6 202166
7 201863
8 201758
9 201257
10 202156
11 200856
12 200351
13 202047
14 200746
15 201746
16 200544
17 201741
18 201838
19 201834
20
Optimal ellipse fitting method based on least-square principle
200832

About Bin Wang

Bin Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Ocean Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 262 papers that have together received 2.4k indexed citations. Recurring topics across this work include Industrial Technology and Control Systems (15 papers), Drilling and Well Engineering (13 papers), Hydraulic Fracturing and Reservoir Analysis (12 papers), Wave and Wind Energy Systems (10 papers), Iterative Learning Control Systems (9 papers), Fluid Dynamics and Vibration Analysis (9 papers), Manufacturing Process and Optimization (9 papers) and Adaptive Control of Nonlinear Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (520 citations), Computer Networks and Communications (360 citations), Automotive Engineering (167 citations), Ocean Engineering (175 citations) and Mechanical Engineering (384 citations). Bin Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinghuo Yu, Ruodu Wang, Xiangjun Li, Mao Ye, Susumu Sato, Jun Mei, Minghui Jiang, Maode Ma, Chi‐Cheng Chu and Rajit Gadh. Their work appears in journals such as Ocean Engineering, Renewable Energy, International Journal of Automotive Technology, Journal of Applied Physics and Cryogenics.

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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