Lin Guan

1.9k citations
119 papers · 1.4k · h-index 21

Impact in

Papers in

Lin Guan

110 papers receiving 1.3k citations

Peers

Lin Guan
Comparison fields: 5 of 111
  • Computer Networks and Communications 567
  • Waste Management and Disposal 122
  • Environmental Engineering 173
  • Pollution 122
  • Computer Vision and Pattern Recognition 181
Replace Xuejun Yue with:
Xuejun Yue China
Bohan Li China
Alex K. Jones United States
Lin Gui China
Maitreyee Dutta India
Yuehua Liu China
Rui Wang China
Abiodun Musa Aibinu Nigeria
Abid Yahya Botswana
Yaqiong Liu China
Lin Guan relative to Xuejun Yue China Xuejun Yue's profile →
Citations per field
00.5×2×4×6×8.2×
Xuejun Yue · 1×
Citations per year

Countries citing papers authored by Lin Guan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 202092
3 201981
4 202353
5 201337
6 202336
7 202035
8 199933
9 201232
10 201231
11 201431
12 202430
13 200829
14 201929
15 202029
16 201128
17 201127
18 200425
19 202022
20 201021

About Lin Guan

Lin Guan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Management Information Systems, Waste Management and Disposal and Information Systems, having authored 119 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (28 papers), Mobile Ad Hoc Networks (21 papers), Wireless Networks and Protocols (18 papers), Advanced Wireless Network Optimization (16 papers), Energy Efficient Wireless Sensor Networks (16 papers), Advanced Queuing Theory Analysis (12 papers), Opportunistic and Delay-Tolerant Networks (9 papers) and Software-Defined Networks and 5G (9 papers). The work is most often cited by research in Computer Networks and Communications (567 citations), Waste Management and Disposal (122 citations), Environmental Engineering (173 citations), Pollution (122 citations) and Computer Vision and Pattern Recognition (181 citations). Lin Guan has collaborated with scholars based in United Kingdom, China and Japan. Frequent co-authors include Iain W. Phillips, George Oikonomou, Hui Fang, Mengni Tao, Zhao Jing, Xingang Wang, Gerald Schaefer, Jianxin Feng, Zhengkai Tao and Xu Zhuang. Their work appears in journals such as Simulation Modelling Practice and Theory, Journal of Computer and System Sciences, Bioresource Technology, Journal of Systems and Software and Molecules.

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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