Tiejun Lv

5.6k total citations · 2 hit papers
296 papers, 3.9k citations indexed

About

Tiejun Lv is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Tiejun Lv has authored 296 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 269 papers in Electrical and Electronic Engineering, 165 papers in Computer Networks and Communications and 63 papers in Aerospace Engineering. Recurrent topics in Tiejun Lv's work include Advanced MIMO Systems Optimization (126 papers), Cooperative Communication and Network Coding (109 papers) and Advanced Wireless Communication Technologies (80 papers). Tiejun Lv is often cited by papers focused on Advanced MIMO Systems Optimization (126 papers), Cooperative Communication and Network Coding (109 papers) and Advanced Wireless Communication Technologies (80 papers). Tiejun Lv collaborates with scholars based in China, Australia and United Kingdom. Tiejun Lv's co-authors include Hui Gao, Shaoshi Yang, Yueming Lu, Jie Zeng, Zhipeng Lin, Li Ji, P. Takis Mathiopoulos, Ren Ping Liu, Wei Ni and Wei Ni and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Tiejun Lv

277 papers receiving 3.8k citations

Hit Papers

Deep reinforcement learning based computation offloading ... 2018 2026 2020 2023 2018 2022 100 200 300 400

Peers

Tiejun Lv
Comparison fields: 5 of 92
  • Electrical and Electronic Engineering 3.0k
  • Computer Networks and Communications 2.0k
  • Aerospace Engineering 689
  • Artificial Intelligence 268
  • Signal Processing 227
Replace Sumei Sun with:
Sumei Sun Singapore
Chunguo Li China
A.H. Aghvami United Kingdom
Lisheng Fan China
Qimei Cui China
Weidang Lu China
Lüxi Yang China
Yang Cao China
M. Cenk Gursoy United States
Sumei Sun Singapore View profile →
Citations per field, relative to Tiejun Lv
Tiejun Lv · 1×
Citations per year, relative to Tiejun Lv
Tiejun Lv · 1×

Countries citing papers authored by Tiejun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejun Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Lv. A scholar is included among the top collaborators of Tiejun Lv 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 Tiejun Lv. Tiejun Lv 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 2
2 4
3 7
4 2
5 9
6 28
7 21
8
When Internet of Things Meets Metaverse: Convergence of Physical and Cyber Worlds breakdown →
147
9 43
10 14
11 21
12 11
13 2
14 24
15 34
16 199
17 19
18 61
19
Deep reinforcement learning based computation offloading and resource allocation for MEC breakdown →
402
20 49

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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