Xiaoping Jin

1.1k citations
45 papers · 794 · h-index 11

Impact in

    • COVID-19 epidemiological studies
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Mycobacterium research and diagnosis

Papers in

Xiaoping Jin

41 papers receiving 772 citations

Peers

Xiaoping Jin
Comparison fields: 5 of 107
  • Modeling and Simulation 67
  • Epidemiology 290
  • Infectious Diseases 147
  • Environmental Engineering 55
  • Health, Toxicology and Mutagenesis 43
Replace Jasmin S. Kutter with:
Jasmin S. Kutter Netherlands
Huan Cui China
Zhendong Guo China
Yuyang Chen China
Peng Lan China
Kaiwei Luo China
Md. Haider Ali Biswas Bangladesh
Maoxing Liu China
Alejandro Jara Chile
Xiaoping Jin relative to Jasmin S. Kutter Netherlands Jasmin S. Kutter's profile →
Citations per field
00.5×
Jasmin S. Kutter · 1×
Citations per year

Countries citing papers authored by Xiaoping Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009117
2 2008113
3 2007111
4 201477
5 200774
6 202266
7 202051
8 202126
9 202025
10 201615
11 202312
12 202310
13 20239
14 20239
15 20228
16 20216
17 20226
18 20205
19 20205
20 20245

About Xiaoping Jin

Xiaoping Jin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering and Epidemiology, having authored 45 papers that have together received 794 indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (20 papers), Optical Wireless Communication Technologies (10 papers), Advanced Wireless Communication Techniques (8 papers), PAPR reduction in OFDM (5 papers), Error Correcting Code Techniques (4 papers), Wireless Communication Networks Research (3 papers), Cooperative Communication and Network Coding (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (67 citations), Epidemiology (290 citations), Infectious Diseases (147 citations), Environmental Engineering (55 citations) and Health, Toxicology and Mutagenesis (43 citations). Xiaoping Jin has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include W. Thompson, David K. Shay, Eric Weintraub, Peter E. Warburton, Chloé Lescale, Flavia Guillem, György Abrusán, Dan Hasson, Xizhong Lou and Ning Jin. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, Wireless Personal Communications, IEEE Sensors Journal and IEEE Transactions on Communications.

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.

Explore authors with similar magnitude of impact