Beihong Jin

1.9k citations
113 papers · 1.2k · h-index 17

Impact in

Papers in

Beihong Jin

106 papers receiving 1.2k citations

Peers

Beihong Jin
Comparison fields: 5 of 77
  • Computer Networks and Communications 529
  • Signal Processing 145
  • Transportation 87
  • Computer Vision and Pattern Recognition 194
  • Electrical and Electronic Engineering 520
Replace Daibo Liu with:
Daibo Liu China
Shaoen Wu United States
Tianzhang Xing China
Imran Memon China
Yan Xiong China
Zongqing Lu China
Xiaonan Guo United States
Huajie Shao United States
Ting Zhu United States
Aston Zhang United States
Beihong Jin relative to Daibo Liu China Daibo Liu's profile →
Citations per field
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Daibo Liu · 1×
Citations per year

Countries citing papers authored by Beihong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Beihong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018143
2 2019108
3 202076
4 200456
5 201651
6 202148
7 202247
8 201639
9 202136
10 200733
11 202232
12 200931
13 202030
14 201129
15 201027
16 200623
17 200617
18 201316
19 201316
20 202115

About Beihong Jin

Beihong Jin is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Signal Processing, having authored 113 papers that have together received 1.2k indexed citations. Recurring topics across this work include Caching and Content Delivery (19 papers), Peer-to-Peer Network Technologies (18 papers), Indoor and Outdoor Localization Technologies (18 papers), Service-Oriented Architecture and Web Services (14 papers), Opportunistic and Delay-Tolerant Networks (13 papers), Semantic Web and Ontologies (11 papers), Human Mobility and Location-Based Analysis (11 papers) and Vehicular Ad Hoc Networks (VANETs) (10 papers). The work is most often cited by research in Computer Networks and Communications (529 citations), Signal Processing (145 citations), Transportation (87 citations), Computer Vision and Pattern Recognition (194 citations) and Electrical and Electronic Engineering (520 citations). Beihong Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fusang Zhang, Daqing Zhang, Jie Xiong, Kai Niu, Yinglong Ma, Jiannong Cao, Zhaoxin Chang, Hai Liu, Yuxiang Wang and Hao Wang. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Expert Systems with Applications, Knowledge-Based Systems, Information Technology and Management and IEEE Transactions on Mobile Computing.

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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