Weijun Lv

443 citations
18 papers · 344 · h-index 8

Impact in

Papers in

Weijun Lv

18 papers receiving 342 citations

Peers

Weijun Lv
Comparison fields: 5 of 35
  • Automotive Engineering 51
  • Electrical and Electronic Engineering 230
  • Computer Networks and Communications 77
  • Electronic, Optical and Magnetic Materials 62
  • Control and Systems Engineering 55
Replace Jung-Hoon Kim with:
Jung-Hoon Kim South Korea
Wenxi Hu China
C.-P Hung Taiwan
Yida Wang China
Jin Sha China
Xiaowei Qi China
Ashok Bindra United States
Weijun Lv relative to Jung-Hoon Kim South Korea Jung-Hoon Kim's profile →
Citations per field
00.5×1.5×2.5×
Jung-Hoon Kim · 1×
Citations per year

Countries citing papers authored by Weijun Lv

Since Specialization
Citations

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

Fields of papers citing papers by Weijun Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201985
2 202276
3 202265
4 201935
5 202316
6 202312
7 202212
8 201510
9 20236
10 20216
11 20235
12 20164
13 20253
14 20252
15 20242
16 20232
17 20242
18 20231

About Weijun Lv

Weijun Lv is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 344 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (5 papers), Advanced Battery Materials and Technologies (4 papers), Distributed Control Multi-Agent Systems (4 papers), Advancements in Battery Materials (4 papers), Energy Efficient Wireless Sensor Networks (3 papers), Stability and Control of Uncertain Systems (2 papers), Advanced Battery Technologies Research (2 papers) and Advanced Wireless Network Optimization (2 papers). The work is most often cited by research in Automotive Engineering (51 citations), Electrical and Electronic Engineering (230 citations), Computer Networks and Communications (77 citations), Electronic, Optical and Magnetic Materials (62 citations) and Control and Systems Engineering (55 citations). Weijun Lv has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Yong Xu, Hurong Yao, Yu‐Guo Guo, Renquan Lu, Ya‐Xia Yin, Zhigao Huang, Daniel E. Quevedo, Yiyin Huang, Xinguang Yuan and Lituo Zheng. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, ACS Applied Materials & Interfaces, Applied Intelligence and ChemNanoMat.

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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