Hang Guan

789 citations
25 papers · 562 · h-index 14

Impact in

Papers in

Hang Guan

25 papers receiving 501 citations

Peers

Hang Guan
Comparison fields: 5 of 57
  • Electrical and Electronic Engineering 509
  • Atomic and Molecular Physics, and Optics 249
  • Surfaces, Coatings and Films 38
  • Artificial Intelligence 74
  • Biomedical Engineering 47
Replace Yutaka Urino with:
Yutaka Urino Japan
Zhi Qu China
Ryotaro Konoike Japan
Alexandre Bazin France
Jianfeng Ding China
Satoshi Suda Japan
Hang Tuan Nguyen United States
Salman Khaleghi United States
Xiaoliang Zhu United States
Nicolas Dupuis United States
Hang Guan relative to Yutaka Urino Japan Yutaka Urino's profile →
Citations per field
00.5×5.1×
Yutaka Urino · 1×
Citations per year

Countries citing papers authored by Hang Guan

Since Specialization
Citations

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

Fields of papers citing papers by Hang Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018111
2 201469
3 201452
4 201545
5 201743
6 201937
7 201430
8 201427
9 201525
10 201419
11 202014
12 201214
13 201414
14 201813
15 201510
16 20199
17 20247
18 20166
19 20245
20
RAIL: A Case for Redundant Arrays of Inexpensive Links in Data Center Networks.
20173

About Hang Guan

Hang Guan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 562 indexed citations. Recurring topics across this work include Photonic and Optical Devices (16 papers), Optical Network Technologies (12 papers), Advanced Photonic Communication Systems (9 papers), Advanced Fiber Optic Sensors (4 papers), Advanced Optical Network Technologies (3 papers), Semiconductor Lasers and Optical Devices (3 papers), Neural Networks and Reservoir Computing (3 papers) and Software-Defined Networks and 5G (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (509 citations), Atomic and Molecular Physics, and Optics (249 citations), Surfaces, Coatings and Films (38 citations), Artificial Intelligence (74 citations) and Biomedical Engineering (47 citations). Hang Guan has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Michael Hochberg, Keren Bergman, Ari Novack, Ruizhi Shi, Tom Baehr‐Jones, Yangjin Ma, Guo‐Qiang Lo, Andy Eu-Jin Lim, Qing Fang and Matthew Streshinsky. Their work appears in journals such as Optics Express, IEEE Photonics Technology Letters, Journal of Lightwave Technology, Frontiers in Oncology and Journal of Materials Chemistry B.

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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