Bin Wang

3.5k citations
262 papers · 2.5k · 1 hit paper · h-index 27

Impact in

Papers in

Bin Wang

220 papers receiving 2.4k citations

Bin Wang's Hit Papers

From virtual to reality: innovative practices of digital twins in tumor therapy 2025 · 32 citations
320Years since publication102030

Peers

Bin Wang
Comparison fields: 5 of 139
  • Control and Systems Engineering 525
  • Computer Networks and Communications 358
  • Automotive Engineering 168
  • Ocean Engineering 186
  • Mechanical Engineering 397
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Hui Chen China
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Senlin Zhang China
Feng Bin China
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Bin Wang relative to Hui Chen China Hui Chen's profile →
Citations per field
00.5×1.5×
Hui Chen · 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 2011163
3 2011111
4 202088
5 200582
6 202169
7 201864
8 202162
9 201759
10 201257
11 200857
12 200351
13 201748
14 202047
15 200746
16 200545
17 201842
18 201741
19 201836
20 202232

About Bin Wang

Bin Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Ocean Engineering, Electrical and Electronic Engineering and Aerospace Engineering, having authored 262 papers that have together received 2.5k indexed citations. Recurring topics across this work include Drilling and Well Engineering (13 papers), Industrial Technology and Control Systems (12 papers), Hydraulic Fracturing and Reservoir Analysis (12 papers), Wave and Wind Energy Systems (11 papers), Fluid Dynamics and Vibration Analysis (9 papers), Manufacturing Process and Optimization (8 papers), Adaptive Control of Nonlinear Systems (8 papers) and Iterative Learning Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (525 citations), Computer Networks and Communications (358 citations), Automotive Engineering (168 citations), Ocean Engineering (186 citations) and Mechanical Engineering (397 citations). Bin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinghuo Yu, Ruodu Wang, Xiangjun Li, Susumu Sato, Mao Ye, Jun Mei, Minghui Jiang, Maode Ma, Chi‐Cheng Chu and Rajit Gadh. Their work appears in journals such as Ocean Engineering, Renewable Energy, Energies, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Applied Physics.

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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