Lang Yin

441 citations
11 papers · 325 · h-index 7

Impact in

Papers in

Lang Yin

11 papers receiving 318 citations

Peers

Lang Yin
Comparison fields: 5 of 72
  • Cognitive Neuroscience 110
  • Biomedical Engineering 247
  • Polymers and Plastics 76
  • Human-Computer Interaction 29
  • Cellular and Molecular Neuroscience 54
Replace Ping Cheng with:
Ping Cheng China
Alberto Loi Italy
Dong Sup Lee United States
Michael McKnight United States
Matthew D. Pahnke United States
Alex Burton United States
Pasindu Lugoda United Kingdom
Sung‐Woo Kim South Korea
Tina L. Y. Wu Australia
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Citations per field
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Citations per year

Countries citing papers authored by Lang Yin

Since Specialization
Citations

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

Fields of papers citing papers by Lang Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2020170
2 202165
3 202131
4 201619
5 202212
6 202410
7 20248
8
Fracture Behavior in Process of Compression of Porous Ceramics with Medium Porosity
20144
9
Mineralogy and geochemistry of supergene manganese ore deposits in Qinzhou-Fangcheng area,southern Guangxi,with implications for ore genesis
20073
10 20192
11
[Establishment of real time PCR for detecting plasma cell free DNA of rats and its significance].
20151

About Lang Yin

Lang Yin is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 11 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Gaze Tracking and Assistive Technology (2 papers), Neuroscience and Neural Engineering (2 papers), Tactile and Sensory Interactions (2 papers), Cancer Genomics and Diagnostics (1 paper), Assistive Technology in Communication and Mobility (1 paper), Water Treatment and Disinfection (1 paper) and Geochemistry and Geochronology of Asian Mineral Deposits (1 paper). The work is most often cited by research in Cognitive Neuroscience (110 citations), Biomedical Engineering (247 citations), Polymers and Plastics (76 citations), Human-Computer Interaction (29 citations) and Cellular and Molecular Neuroscience (54 citations). Lang Yin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include YongAn Huang, Youhua Wang, Yunzhao Bai, Chao Hou, Siyi Liu, Ying Zhou, Liu Wang, Zhouping Yin, Lin Xiao and Hao Wu. Their work appears in journals such as Research, npj Flexible Electronics, Mineralium Deposita, IEEE Sensors Journal and Science Advances.

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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