Lingli Wang

3.9k citations
263 papers · 3.0k · h-index 27

Impact in

Papers in

Lingli Wang

228 papers receiving 2.9k citations

Peers

Lingli Wang
Comparison fields: 5 of 85
  • Hardware and Architecture 334
  • Acoustics and Ultrasonics 10
  • Ecology 253
  • Computer Vision and Pattern Recognition 258
  • Electrical and Electronic Engineering 534
Replace Yongqiang Cao with:
Yongqiang Cao China
Xing Jin China
Shi‐Yu Huang Taiwan
Xinwei Liu China
Lei He China
Dharmendra Singh India
Yan Luo China
Yan Huang China
Ji Zhang China
Jeyan Thiyagalingam United Kingdom
Lingli Wang relative to Yongqiang Cao China Yongqiang Cao's profile →
Citations per field
00.5×10×20×25.3×
Yongqiang Cao · 1×
Citations per year

Countries citing papers authored by Lingli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016245
2 1998162
3 2011111
4 200892
5 200889
6 201587
7 201174
8 201274
9 201471
10 201757
11 201349
12 201446
13 200644
14 201044
15 201844
16 202143
17 201642
18 202241
19 202237
20 201036

About Lingli Wang

Lingli Wang is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Materials Chemistry and Ecology, having authored 263 papers that have together received 3.0k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (44 papers), VLSI and FPGA Design Techniques (43 papers), Luminescence Properties of Advanced Materials (15 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers), Remote Sensing in Agriculture (9 papers), Low-power high-performance VLSI design (9 papers), Optical measurement and interference techniques (9 papers) and Network Packet Processing and Optimization (5 papers). The work is most often cited by research in Hardware and Architecture (334 citations), Acoustics and Ultrasonics (10 citations), Ecology (253 citations), Computer Vision and Pattern Recognition (258 citations) and Electrical and Electronic Engineering (534 citations). Lingli Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include John J. Qu, Xianjun Hao, Xuegong Zhou, Wei Cao, Xitian Fan, Yuhua Wang, Theo T. Tschudi, Jiao Li, E. Raymond Hunt and T. Halldórsson. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Reconfigurable Technology and Systems, Journal of Alloys and Compounds, Applied Optics and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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