Yang Long

2.3k citations
74 papers · 1.6k · 1 hit paper · h-index 23

Impact in

Papers in

Yang Long

71 papers receiving 1.5k citations

Yang Long's Hit Papers

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications 2024 · 66 citations
660+1Years since publication204060

Peers

Yang Long
Comparison fields: 5 of 82
  • Electronic, Optical and Magnetic Materials 596
  • Acoustics and Ultrasonics 27
  • Atomic and Molecular Physics, and Optics 819
  • Aerospace Engineering 287
  • Biomedical Engineering 458
Replace Mingfeng Xu with:
Mingfeng Xu China
Jie Lin China
Yu‐Gui Peng China
Ting Lei China
Cong Liu United States
Houjun Sun China
Zhixue He China
Zhaohui Li China
Ming Kang China
Arindam Chatterjee India
Yang Long relative to Mingfeng Xu China Mingfeng Xu's profile →
Citations per field
00.5×6.2×
Mingfeng Xu · 1×
Citations per year

Countries citing papers authored by Yang Long

Since Specialization
Citations

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

Fields of papers citing papers by Yang Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013156
2 2019104
3 2018100
4 202075
5
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications
Hit paper breakdown →
202466
6 202165
7 202060
8 202054
9 202353
10 202349
11 201944
12 201743
13 202442
14 202040
15 202038
16 201835
17 202131
18 202229
19 201926
20 201625

About Yang Long

Yang Long is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Artificial Intelligence, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topological Materials and Phenomena (23 papers), Metamaterials and Metasurfaces Applications (19 papers), Plasmonic and Surface Plasmon Research (14 papers), Photonic Crystals and Applications (12 papers), Photonic and Optical Devices (9 papers), Mechanical and Optical Resonators (8 papers), Reinforcement Learning in Robotics (7 papers) and Quantum Mechanics and Non-Hermitian Physics (7 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (596 citations), Acoustics and Ultrasonics (27 citations), Atomic and Molecular Physics, and Optics (819 citations), Aerospace Engineering (287 citations) and Biomedical Engineering (458 citations). Yang Long has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Jie Ren, Hong Chen, Hong Chen, Xiaopeng Su, Haitao Jiang, Zeyong Wei, Hongqiang Li, Zhiwei Guo, Zhijie Gong and Yang Cao. Their work appears in journals such as Physical review. B., Physical Review Letters, Nature Communications, Journal of Physics D Applied Physics and Optics Express.

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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