Lan Lin

503 citations
12 papers · 357 · h-index 7

Impact in

Papers in

Lan Lin

12 papers receiving 337 citations

Peers

Lan Lin
Comparison fields: 5 of 46
  • Computer Networks and Communications 196
  • Automotive Engineering 90
  • Control and Systems Engineering 116
  • Electrical and Electronic Engineering 276
  • Transportation 31
Replace Paweł Sroka with:
Paweł Sroka Poland
Christian Wewetzer Germany
João Fernando Machry Sarubbi Brazil
Ratul K. Guha United States
Yasser Toor France
Björn Schünemann Germany
Ranjeet Singh Tomar India
Huanli Gao China
Chakkaphong Suthaputchakun United Kingdom
Leandro A. Villas Brazil
Lan Lin relative to Paweł Sroka Poland Paweł Sroka's profile →
Citations per field
00.5×4.2×
Paweł Sroka · 1×
Citations per year

Countries citing papers authored by Lan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Lan Lin, 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 Lan Lin Line = papers co-authored together Lan Lin links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201392
2 201588
3 200679
4 200435
5 201032
6 200712
7 20236
8 20066
9 20072
10
Complexity and Approximate Algorithm of Shortest Paths in Dynamic Networks
20072
11 20152
12
Artery: A data-centric architecture for wireless sensor networks
20151

About Lan Lin

Lan Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Automotive Engineering and Signal Processing, having authored 12 papers that have together received 357 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (6 papers), Energy Efficient Wireless Sensor Networks (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Traffic control and management (3 papers), Mobile Ad Hoc Networks (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Indoor and Outdoor Localization Technologies (2 papers) and Traffic Prediction and Management Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Automotive Engineering (90 citations), Control and Systems Engineering (116 citations), Electrical and Electronic Engineering (276 citations) and Transportation (31 citations). Lan Lin has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Alexey Vinel, Nikita Lyamin, Massimiliano Lenardi, Dinesh P. Mehta, Ramon Bauza, Javier Gozálvez, Daniel Krajzewicz, Hyunyoung Lee, Jérôme Härri and Robbin Blokpoel. Their work appears in journals such as IEEE Communications Magazine, Industrial and Corporate Change, Simulation Modelling Practice and Theory and DOAJ (DOAJ: Directory of Open Access Journals).

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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