Lin Sha

953 citations
54 papers · 745 · h-index 15

Impact in

Papers in

Lin Sha

45 papers receiving 734 citations

Peers

Lin Sha
Comparison fields: 5 of 119
  • Electrical and Electronic Engineering 345
  • Electronic, Optical and Magnetic Materials 82
  • Materials Chemistry 180
  • Cancer Research 40
  • Rheumatology 34
Replace Huayang Wang with:
Huayang Wang China
Fengli Gao China
Hongyun Li China
K. Watanabe Japan
Rui Lei China
Shengyan Liu China
Chaoying Chen China
Xinpeng Chen China
Liyue Zhang China
Monika Kopeć Poland
Lin Sha relative to Huayang Wang China Huayang Wang's profile →
Citations per field
00.5×3.4×
Huayang Wang · 1×
Citations per year

Countries citing papers authored by Lin Sha

Since Specialization
Citations

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

Fields of papers citing papers by Lin Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200490
2 200368
3 200266
4 200361
5 202040
6 201640
7 200340
8 200237
9 200135
10 201431
11 202224
12 202120
13 201718
14 201317
15 201817
16 202314
17 201614
18 201713
19 201911
20 20238

About Lin Sha

Lin Sha is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 745 indexed citations. Recurring topics across this work include Semiconductor materials and devices (8 papers), Energy Harvesting in Wireless Networks (5 papers), Wireless Power Transfer Systems (5 papers), Electronic and Structural Properties of Oxides (5 papers), Advanced Battery Technologies Research (3 papers), Lower Extremity Biomechanics and Pathologies (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (345 citations), Electronic, Optical and Magnetic Materials (82 citations), Materials Chemistry (180 citations), Cancer Research (40 citations) and Rheumatology (34 citations). Lin Sha has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jane P. Chang, Byeong‐Ok Cho, Jianjun Wang, Ragesh Puthenkovilakam, Jing Ding, Xiaobao Gong, J. Fraser Stoddart, Hsian‐Rong Tseng, Branden Brough and Weixing Lu. Their work appears in journals such as Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Orthopaedic Journal of Sports Medicine, Journal of Orthopaedic Surgery and Research, Applied Physics Letters and Nano Letters.

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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