Yaguang Lin

700 citations
34 papers · 490 indexed · h-index 12

Yaguang Lin

33 papers receiving 479 citations

Peers

Yaguang Lin
Comparison fields: 5 of 59
  • Statistical and Nonlinear Physics 161
  • Computer Science Applications 69
  • Computer Networks and Communications 170
  • Information Systems 109
  • Transportation 32
Replace Mingyuan Yan with:
Mingyuan Yan United States
Taotao Cai Australia
K. K. Bharadwaj India
Guangmo Tong United States
Guoyong Cai China
Zaixin Lu United States
Zhiyong Peng China
Shengjie Wang China
Sofia Ceppi United Kingdom
Fernando Díez Spain
Yaguang Lin relative to Mingyuan Yan United States Mingyuan Yan's profile →
Citations per field
00.5×10.2×
Mingyuan Yan · 1×
Citations per year

Countries citing papers authored by Yaguang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yaguang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4 20241
5 20231
6 20236
7 20231
8 202224
9 202222
10 202140
11 201957
12 201924
13 201935
14 201962
15 201822
16 201821
17 20181
18 20161
19 201639
20 20151

About Yaguang Lin

Yaguang Lin is a scholar working on Computer Science Applications, Computer Networks and Communications, Statistical and Nonlinear Physics, Transportation and Information Systems, having authored 34 papers that have together received 490 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (13 papers), Caching and Content Delivery (9 papers), Complex Network Analysis Techniques (9 papers), Mobile Ad Hoc Networks (9 papers), Opinion Dynamics and Social Influence (5 papers), IoT and Edge/Fog Computing (4 papers), ICT in Developing Communities (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (161 citations), Computer Science Applications (69 citations), Computer Networks and Communications (170 citations), Information Systems (109 citations) and Transportation (32 citations). Yaguang Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoming Wang, Fei Hao, Liang Wang, Zhipeng Cai, Lichen Zhang, Wei Zhao, Yanxin Zhao, Geyong Min, Xiaolin Hu and Xiaoming Wang. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, Knowledge-Based Systems, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Computational Social Systems and IEEE Transactions on Vehicular Technology.

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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