Hu Jin

3.3k citations
164 papers · 2.4k · h-index 23

Impact in

Papers in

Hu Jin

148 papers receiving 2.4k citations

Peers

Hu Jin
Comparison fields: 5 of 107
  • Computer Networks and Communications 1.1k
  • Artificial Intelligence 878
  • Computational Theory and Mathematics 401
  • Electrical and Electronic Engineering 1.2k
  • Information Systems 277
Replace Urvinder Singh with:
Urvinder Singh India
Yuan Zhou China
Amrit Lal Sangal India
Xiao Zhang China
Hongxing Li China
Thomas Weise China
Tat-Ming Lok Hong Kong
Marko Beko Portugal
Yinlong Xu China
Eva Tuba Serbia
Hu Jin relative to Urvinder Singh India Urvinder Singh's profile →
Citations per field
00.5×5.7×
Urvinder Singh · 1×
Citations per year

Countries citing papers authored by Hu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019212
2 2011174
3 2020166
4 2020129
5 2021110
6 201791
7 202089
8 201181
9 201165
10 202059
11 201855
12 201850
13 201849
14 201932
15 201231
16 201028
17 201328
18 201428
19 201127
20 201924

About Hu Jin

Hu Jin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering and Aerospace Engineering, having authored 164 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (50 papers), Cooperative Communication and Network Coding (42 papers), IoT Networks and Protocols (42 papers), Advanced MIMO Systems Optimization (38 papers), Wireless Networks and Protocols (38 papers), Advanced Wireless Communication Technologies (20 papers), Wireless Body Area Networks (19 papers) and Wireless Communication Networks Research (18 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Artificial Intelligence (878 citations), Computational Theory and Mathematics (401 citations), Electrical and Electronic Engineering (1.2k citations) and Information Systems (277 citations). Hu Jin has collaborated with scholars based in South Korea, China and Canada. Frequent co-authors include Bang Chul Jung, Jun Zhang, Jun-Bae Seo, Debiao He, Jianhua Chen, Zhi‐Hui Zhan, Zijia Wang, Victor C. M. Leung, Dan Keun Sung and Mamta Agiwal. Their work appears in journals such as IEEE Communications Letters, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing and IEEE Access.

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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