Lindong Wu

541 citations
32 papers · 260 · h-index 9

Impact in

Papers in

Lindong Wu

30 papers receiving 251 citations

Peers

Lindong Wu
Comparison fields: 5 of 53
  • Cellular and Molecular Neuroscience 72
  • Electrical and Electronic Engineering 196
  • Polymers and Plastics 31
  • Earth-Surface Processes 13
  • Cognitive Neuroscience 31
Replace Jieru Song with:
Jieru Song China
Yaotian Ling China
Jyotibdha Acharya Singapore
Huihan Li China
Jin Joo Ryu South Korea
Jangsaeng Kim South Korea
Bowen Zhang China
Chungryeol Lee South Korea
Shaocong Wang China
Benedikt Kersting Switzerland
Lindong Wu relative to Jieru Song China Jieru Song's profile →
Citations per field
00.5×10×20×28×
Jieru Song · 1×
Citations per year

Countries citing papers authored by Lindong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lindong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202040
2 201736
3 202026
4 202025
5 202019
6 202017
7 202415
8 202214
9 202213
10 20217
11 20216
12 20226
13 20215
14 20095
15 20183
16 20242
17 20242
18 20222
19 20172
20 20242

About Lindong Wu

Lindong Wu is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition and Ecology, having authored 32 papers that have together received 260 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Neuroscience and Neural Engineering (10 papers), Neural Networks and Reservoir Computing (5 papers), CCD and CMOS Imaging Sensors (4 papers), Semiconductor materials and devices (3 papers), Photoreceptor and optogenetics research (3 papers) and Transition Metal Oxide Nanomaterials (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (72 citations), Electrical and Electronic Engineering (196 citations), Polymers and Plastics (31 citations), Earth-Surface Processes (13 citations) and Cognitive Neuroscience (31 citations). Lindong Wu has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Yimao Cai, Zongwei Wang, Ru Huang, Yaotian Ling, Qingyu Chen, Lin Bao, Zhizhen Yu, Jian Kang, Bowen Wang and Runsheng Wang. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Electron Device Letters, Advanced Electronic Materials, IEEE Transactions on Circuits & Systems II Express Briefs and Science China Information Sciences.

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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