Lianfa Li

3.0k citations
78 papers · 2.3k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Lianfa Li

77 papers receiving 2.3k citations

Hit Papers

Statistical Modeling of Spatially Stratified Heterogeneous Data 2024 · 49 citations
4920242026202510203040

Peers

Lianfa Li
Comparison fields: 5 of 159
  • Health, Toxicology and Mutagenesis 1.1k
  • Environmental Engineering 578
  • Speech and Hearing 220
  • Global and Planetary Change 402
  • Atmospheric Science 316
Replace Bin Guo with:
Bin Guo China
John Boland Australia
Christine Choirat United States
Yongze Song Australia
Xinhu Li China
Jonathan J. Buonocore United States
Uwe Schlink Germany
Jacques Teller Belgium
Guoqin Zhang China
Khairul Nizam Abdul Maulud Malaysia
Lianfa Li relative to Bin Guo China Bin Guo's profile →
Citations per field
00.5×7.2×
Bin Guo · 1×
Citations per year

Countries citing papers authored by Lianfa Li

Since Specialization
Citations

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

Fields of papers citing papers by Lianfa Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 202014
4 20207
5 201984
6 201919
7 201911
8
Adverse Reproductive Health Outcomes and Exposure to Gaseous and Particulate-Matter Air Pollution in Pregnant Women.
201645
9 201692
10 201620
11 2016107
12 2014112
13 201365
14 2013110
15 201331
16 201237
17 20097
18 200812
19 20087
20 200520

About Lianfa Li

Lianfa Li is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change, Media Technology and Transportation, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (30 papers), Air Quality Monitoring and Forecasting (14 papers), Climate Change and Health Impacts (12 papers), Spatial and Panel Data Analysis (9 papers), Remote-Sensing Image Classification (8 papers), Atmospheric and Environmental Gas Dynamics (6 papers), Energy and Environment Impacts (6 papers) and Atmospheric chemistry and aerosols (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.1k citations), Environmental Engineering (578 citations), Speech and Hearing (220 citations), Global and Planetary Change (402 citations) and Atmospheric Science (316 citations). Lianfa Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Wu, Jinfeng Wang, Olivier Laurent, Michael J. Kleeman, Myles Cockburn, Loraine A. Escobedo, Hareton Leung, Scott M. Bartell, Jianlin Hu and Stephen G. Cecchetti. Their work appears in journals such as Remote Sensing, Atmospheric Environment, Environment International, Environmental Health and Bioorganic & Medicinal Chemistry.

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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