Yajie Li

1.7k total citations
185 papers, 1.1k citations indexed

About

Yajie Li is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yajie Li has authored 185 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Electrical and Electronic Engineering, 55 papers in Computer Networks and Communications and 55 papers in Artificial Intelligence. Recurrent topics in Yajie Li's work include Optical Network Technologies (94 papers), Advanced Photonic Communication Systems (74 papers) and Advanced Optical Network Technologies (62 papers). Yajie Li is often cited by papers focused on Optical Network Technologies (94 papers), Advanced Photonic Communication Systems (74 papers) and Advanced Optical Network Technologies (62 papers). Yajie Li collaborates with scholars based in China, United States and Sweden. Yajie Li's co-authors include Yongli Zhao, Jie Zhang, Xiaosong Yu, Wei Wang, Sabidur Rahman, Massimo Tornatore, Jie Zhang, Carlos Colman-Meixner, Tianyin Huang and Huibin Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Yajie Li

152 papers receiving 1.1k citations

Peers

Yajie Li
Comparison fields: 5 of 96
  • Electrical and Electronic Engineering 675
  • Computer Networks and Communications 313
  • Artificial Intelligence 277
  • Information Systems 93
  • Computer Vision and Pattern Recognition 84
Replace Marco Baldi with:
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Marco Baldi Italy View profile →
Citations per field, relative to Yajie Li
Yajie Li · 1×
Citations per year, relative to Yajie Li
Yajie Li · 1×

Countries citing papers authored by Yajie Li

Since Specialization
Citations

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

Fields of papers citing papers by Yajie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajie Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yajie Li. A scholar is included among the top collaborators of Yajie Li 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 Yajie Li. Yajie Li 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 0
2 0
3 0
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6 1
7 0
8 1
9 14
10 6
11 3
12 3
13 1
14 43
15 7
16 13
17
Experiment Demonstration of Physical Layer Secret Key Distribution with Information Reconciliation in Digital Coherent Optical OFDM System
3
18
Cognitive Network Management Based on Cross-Layer AI Interaction in ONOS-Enabled Self-Optimizing Optical Networks
1
19
Experimental Demonstration of Optical Fiber Eavesdropping Detection Based on Deep Learning
3
20
Blind Nonlinearity Compensation by Machine-Learning-Based Clustering for Coherent Optical OFDM
0

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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