Na Lv

2.2k citations
107 papers · 1.8k · h-index 21

Impact in

Papers in

Na Lv

97 papers receiving 1.7k citations

Peers

Na Lv
Comparison fields: 5 of 121
  • Industrial and Manufacturing Engineering 372
  • Mechanical Engineering 998
  • Computer Networks and Communications 271
  • Metals and Alloys 26
  • Mechanics of Materials 231
Replace Ján Piteľ with:
Ján Piteľ Slovakia
Shyh-Chour Huang Taiwan
Ying Yong Zou China
Edward Chlebus Poland
Xiang Chen Canada
Tao Zhao China
Jianjing Zhang United States
Ravi Sekhar India
N. Ramesh Babu India
Yanbiao Li China
Na Lv relative to Ján Piteľ Slovakia Ján Piteľ's profile →
Citations per field
00.5×2×4×6×8.7×
Ján Piteľ · 1×
Citations per year

Countries citing papers authored by Na Lv

Since Specialization
Citations

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

Fields of papers citing papers by Na Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020149
2 2020130
3 2013127
4 2014119
5 2017100
6 201484
7 201579
8 201777
9 202067
10 202053
11 201351
12 201247
13 201341
14 201238
15 201335
16 201334
17 202328
18 202126
19 202025
20 202225

About Na Lv

Na Lv is a scholar working on Mechanical Engineering, Computer Networks and Communications, Aerospace Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Welding Techniques and Residual Stresses (37 papers), Non-Destructive Testing Techniques (14 papers), UAV Applications and Optimization (12 papers), Opportunistic and Delay-Tolerant Networks (10 papers), Software-Defined Networks and 5G (10 papers), Advanced machining processes and optimization (9 papers), Industrial Vision Systems and Defect Detection (8 papers) and Laser Material Processing Techniques (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (372 citations), Mechanical Engineering (998 citations), Computer Networks and Communications (271 citations), Metals and Alloys (26 citations) and Mechanics of Materials (231 citations). Na Lv has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Shanben Chen, Yanling Xu, Huabin Chen, Shanben Chen, Jiyong Zhong, Gu Fang, Zhifen Zhang, Chao Chen, Ju Jia Zou and Mengran Xu. Their work appears in journals such as IEEE Access, Journal of Materials Processing Technology, Journal of Manufacturing Processes, The International Journal of Advanced Manufacturing Technology and Computer Communications.

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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