Baijin Mao

1.1k citations
18 papers · 738 · 2 hit papers · h-index 7

Impact in

Papers in

Baijin Mao

16 papers receiving 716 citations

Baijin Mao's Hit Papers

Recent Progress in Advanced Tactile Sensing Technologies for Soft Grippers 2023 · 163 citations
1630+2+5Years since publication100200300400

Peers

Baijin Mao
Comparison fields: 5 of 112
  • Control and Systems Engineering 199
  • Biomedical Engineering 203
  • Mechanical Engineering 153
  • Ocean Engineering 57
  • Safety, Risk, Reliability and Quality 30
Replace Weiyi Liu with:
Weiyi Liu China
Grzegorz Kłosowski Poland
Zhihua Chen China
Chong Li China
Jiří Koziorek Czechia
Guannan Li China
Luttfi A. Al-Haddad Iraq
Shuang Liu China
Danilo Hernane Spatti Brazil
Weiguang Li China
Baijin Mao relative to Weiyi Liu China Weiyi Liu's profile →
Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Baijin Mao

Since Specialization
Citations

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

Fields of papers citing papers by Baijin Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost
Hit paper breakdown →
2018442
2
Recent Progress in Advanced Tactile Sensing Technologies for Soft Grippers
Hit paper breakdown →
2023163
3 202362
4 202423
5 20249
6 20249
7 20179
8 20245
9 20244
10 20243
11 20243
12 20242
13 20261
14 20261
15 20251
16 20151
17 20240
18 20240

About Baijin Mao

Baijin Mao is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Cognitive Neuroscience and Civil and Structural Engineering, having authored 18 papers that have together received 738 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Soft Robotics and Applications (5 papers), Tactile and Sensory Interactions (4 papers), Modular Robots and Swarm Intelligence (4 papers), Robot Manipulation and Learning (3 papers), Structural Health Monitoring Techniques (2 papers), Machine Fault Diagnosis Techniques (2 papers) and Innovations in Concrete and Construction Materials (1 paper). The work is most often cited by research in Control and Systems Engineering (199 citations), Biomedical Engineering (203 citations), Mechanical Engineering (153 citations), Ocean Engineering (57 citations) and Safety, Risk, Reliability and Quality (30 citations). Baijin Mao has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Liyang Qian, Yulin Si, Dahai Zhang, Can Huang, Bin Huang, Juntian Qu, Yining Xu, Xiaohao Wang, Houde Liu and Minyi Xu. Their work appears in journals such as Advanced Functional Materials, Advanced Materials Technologies, IEEE Access, IEEE Sensors Journal and ACS Applied Materials & Interfaces.

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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