Bin Fu

876 citations
73 papers · 427 · h-index 12

Impact in

Papers in

Bin Fu

64 papers receiving 401 citations

Peers

Bin Fu
Comparison fields: 5 of 88
  • Computer Networks and Communications 186
  • Computational Theory and Mathematics 62
  • Information Systems 65
  • Computer Graphics and Computer-Aided Design 10
  • Signal Processing 25
Replace Zhihao Gavin Tang with:
Zhihao Gavin Tang China
Chao Jiang China
Qin Liu China
Gunhee Lee South Korea
Chunlong Fan China
Lisa Zhang United States
Yoshiaki Toyoda Japan
Bin Fu relative to Zhihao Gavin Tang China Zhihao Gavin Tang's profile →
Citations per field
00.5×
Zhihao Gavin Tang · 1×
Citations per year

Countries citing papers authored by Bin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200931
2 201826
3 202225
4 201224
5 201621
6 202117
7 201516
8 201916
9 202115
10 201214
11 201112
12 200611
13 200310
14 20009
15 20238
16 20178
17 20118
18 20188
19 20188
20 20108

About Bin Fu

Bin Fu is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, having authored 73 papers that have together received 427 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (15 papers), Advanced Graph Theory Research (11 papers), Optimization and Search Problems (10 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Mobile Ad Hoc Networks (7 papers), Opportunistic and Delay-Tolerant Networks (7 papers), semigroups and automata theory (6 papers) and UAV Applications and Optimization (5 papers). The work is most often cited by research in Computer Networks and Communications (186 citations), Computational Theory and Mathematics (62 citations), Information Systems (65 citations), Computer Graphics and Computer-Aided Design (10 citations) and Signal Processing (25 citations). Bin Fu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Chuanhe Huang, Xiying Fan, Zaixin Lu, Weili Wu, Binhai Zhu, Minghui Jiang, Zahir Tari, Shi Yan, Zhixiang Chen and Yanhui Gu. Their work appears in journals such as Theoretical Computer Science, Journal of Combinatorial Optimization, Wireless Communications and Mobile Computing, Wireless Networks and Theory of Computing Systems.

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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