Xin Long

2.8k citations
96 papers · 2.0k · h-index 26

Impact in

Papers in

Xin Long

90 papers receiving 1.9k citations

Peers

Xin Long
Comparison fields: 5 of 140
  • Health, Toxicology and Mutagenesis 839
  • Atmospheric Science 1.0k
  • Global and Planetary Change 526
  • Environmental Engineering 308
  • Automotive Engineering 165
Replace Hang Liu with:
Hang Liu China
Federico Karagulian Italy
Manuel Pujadas Spain
Eben D. Thoma United States
Shanshan Wang China
A. K. Srivastava India
Wenjie Zhang China
Xinyi Dong China
Xin Long relative to Hang Liu China Hang Liu's profile →
Citations per field
00.5×3.2×
Hang Liu · 1×
Citations per year

Countries citing papers authored by Xin Long

Since Specialization
Citations

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

Fields of papers citing papers by Xin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017132
2 2016118
3 201997
4 201986
5 201678
6 201576
7 202268
8 201764
9 201663
10 201755
11 201655
12 201852
13 201749
14 201748
15 201848
16 201843
17 201642
18 201941
19 202341
20 201535

About Xin Long

Xin Long is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Electrical and Electronic Engineering and Environmental Engineering, having authored 96 papers that have together received 2.0k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (42 papers), Air Quality and Health Impacts (30 papers), Atmospheric aerosols and clouds (14 papers), Advanced Fiber Laser Technologies (12 papers), Atmospheric Ozone and Climate (12 papers), Advanced Fiber Optic Sensors (10 papers), Air Quality Monitoring and Forecasting (9 papers) and Advanced Photonic Communication Systems (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (839 citations), Atmospheric Science (1.0k citations), Global and Planetary Change (526 citations), Environmental Engineering (308 citations) and Automotive Engineering (165 citations). Xin Long has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Junji Cao, Xuexi Tie, Guohui Li, Shuyu Zhao, Weiwen Zou, Jianping Chen, Tian Feng, Qiyuan Wang, Ru‐Jin Huang and Jie Tian. Their work appears in journals such as Atmospheric chemistry and physics, The Science of The Total Environment, Atmospheric Environment, Optics Express and Journal of Geophysical Research Atmospheres.

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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