Jin‐Lei Wu

1.3k total citations · 1 hit paper
80 papers, 894 citations indexed

About

Jin‐Lei Wu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Jin‐Lei Wu has authored 80 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Atomic and Molecular Physics, and Optics, 41 papers in Artificial Intelligence and 14 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Jin‐Lei Wu's work include Quantum Information and Cryptography (39 papers), Quantum optics and atomic interactions (21 papers) and Mechanical and Optical Resonators (15 papers). Jin‐Lei Wu is often cited by papers focused on Quantum Information and Cryptography (39 papers), Quantum optics and atomic interactions (21 papers) and Mechanical and Optical Resonators (15 papers). Jin‐Lei Wu collaborates with scholars based in China, United States and Israel. Jin‐Lei Wu's co-authors include Jie Song, Yongyuan Jiang, Shi‐Lei Su, Yan Xia, Yan Wang, Xin Ji, Shou Zhang, Shuai Tang, Song Fu and Cheng Lü and has published in prestigious journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.

In The Last Decade

Jin‐Lei Wu

71 papers receiving 825 citations

Hit Papers

Channel attention & temporal attention based temporal con... 2024 2026 2025 2024 20 40 60

Peers

Jin‐Lei Wu
Comparison fields: 5 of 66
  • Atomic and Molecular Physics, and Optics 668
  • Artificial Intelligence 505
  • Electrical and Electronic Engineering 113
  • Biomedical Engineering 83
  • Electronic, Optical and Magnetic Materials 68
Replace Qiyu Liang with:
Qiyu Liang China
Yanbing Zhang China
Brando Miranda United States
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V. S. Sudarshanam United States
Yajun Gao China
Miao Hu China
Martino De Carlo Italy
Yan Pan China
Qiyu Liang China View profile →
Citations per field, relative to Jin‐Lei Wu
Jin‐Lei Wu · 1×
Citations per year, relative to Jin‐Lei Wu
Jin‐Lei Wu · 1×

Countries citing papers authored by Jin‐Lei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Lei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin‐Lei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Lei Wu. A scholar is included among the top collaborators of Jin‐Lei Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin‐Lei Wu. Jin‐Lei Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 3
5 0
6
Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines breakdown →
74
7 4
8 5
9 7
10 25
11 4
12 1
13 1
14 6
15 4
16 2
17 20
18 20
19 22
20 36

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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