Linbo Long

416 citations
42 papers · 304 · h-index 10

Impact in

Papers in

Linbo Long

37 papers receiving 297 citations

Peers

Linbo Long
Comparison fields: 5 of 44
  • Hardware and Architecture 94
  • Computer Networks and Communications 202
  • Information Systems 44
  • Electrical and Electronic Engineering 103
  • Materials Chemistry 66
Replace Hansang Bae with:
Hansang Bae United States
Ashish Kumar Singh India
Ehsan K. Ardestani United States
Tzu-Liang Kung Taiwan
Francisco J. Mesa-Martínez United States
Frank Hady United States
Rainer G. Spallek Germany
Yutaka Sugawara Japan
Jerzy Proficz Poland
Eric Schares United States
Linbo Long relative to Hansang Bae United States Hansang Bae's profile →
Citations per field
00.5×7.6×
Hansang Bae · 1×
Citations per year

Countries citing papers authored by Linbo Long

Since Specialization
Citations

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

Fields of papers citing papers by Linbo Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201855
2 201448
3 201721
4 201519
5 202217
6 202216
7 202311
8 201810
9 201510
10 20189
11 20159
12 20227
13 20137
14 20145
15 20185
16 20155
17 20154
18 20194
19 20184
20 20233

About Linbo Long

Linbo Long is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Information Systems and Computational Theory and Mathematics, having authored 42 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (30 papers), Caching and Content Delivery (17 papers), Parallel Computing and Optimization Techniques (16 papers), Advanced Memory and Neural Computing (10 papers), Cloud Computing and Resource Management (6 papers), Distributed and Parallel Computing Systems (5 papers), Peer-to-Peer Network Technologies (4 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (94 citations), Computer Networks and Communications (202 citations), Information Systems (44 citations), Electrical and Electronic Engineering (103 citations) and Materials Chemistry (66 citations). Linbo Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Duo Liu, Kan Zhong, Edwin H.‐M. Sha, Yuliang Mao, Zili Shao, Jianmei Yuan, Jianxin Zhong, Hongquan Zhao, Zhu Xiao and Weichen Liu. Their work appears in journals such as Future Generation Computer Systems, Journal of Systems Architecture, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Parallel and Distributed Systems and Applied Surface Science.

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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