Xiaoping Liang

7.5k citations
84 papers · 6.2k indexed · 6 hit papers · h-index 36

Xiaoping Liang

82 papers receiving 6.1k citations

Hit Papers

Monitoring blood pressure and c...17620182026202020232505007501000

Peers

Xiaoping Liang
Comparison fields: 5 of 156
  • Polymers and Plastics 1.8k
  • Biomedical Engineering 3.9k
  • Bioengineering 312
  • Biomaterials 666
  • Cognitive Neuroscience 773
Replace Haomin Wang with:
Haomin Wang China
Mingchao Zhang China
Helen Tran United States
Yang Gao China
Yuxin Liu China
Bin Yang China
Shuhua Peng Australia
Yutian Zhu China
Xiaoping Liang relative to Haomin Wang China Haomin Wang's profile →
Citations per field
00.5×1.5×2.2×
Haomin Wang · 1×
Citations per year

Countries citing papers authored by Xiaoping Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202324
4 202373
5
Monitoring blood pressure and cardiac function without positioning via a deep learning–assisted strain sensor arraybreakdown →
2023176
6 202315
7
Humidity-sensitive chemoelectric flexible sensors based on metal-air redox reaction for health managementbreakdown →
2022192
8 202149
9
Smart Fibers and Textiles for Personal Health Managementbreakdown →
2021205
10 202143
11 2019218
12 201921
13 201831
14 20178
15 201611
16 201666
17 201513
18 2014104
19 201220
20 200952

About Xiaoping Liang

Xiaoping Liang is a scholar working on Polymers and Plastics, Biomedical Engineering, Biomaterials, Mechanical Engineering and Complementary and alternative medicine, having authored 84 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (30 papers), Conducting polymers and applications (13 papers), Silk-based biomaterials and applications (9 papers), Advanced Materials and Mechanics (9 papers), Thermal Radiation and Cooling Technologies (7 papers), Metal Extraction and Bioleaching (7 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and Extraction and Separation Processes (5 papers). The work is most often cited by research in Polymers and Plastics (1.8k citations), Biomedical Engineering (3.9k citations), Bioengineering (312 citations), Biomaterials (666 citations) and Cognitive Neuroscience (773 citations). Xiaoping Liang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Yingying Zhang, Chunya Wang, Kailun Xia, Zhe Yin, Haomin Wang, Huimin Wang, Muqiang Jian, Mingchao Zhang, Haojie Lü and Yong Zhang. Their work appears in journals such as Advanced Functional Materials, Small, Advanced Materials, Nano Research and Metals.

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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