Long Li

3.2k citations
103 papers · 2.5k · h-index 28

Impact in

Papers in

Long Li

93 papers receiving 2.4k citations

Peers

Long Li
Comparison fields: 5 of 121
  • Environmental Engineering 1.2k
  • Atmospheric Science 954
  • Health, Toxicology and Mutagenesis 688
  • Global and Planetary Change 892
  • Speech and Hearing 129
Replace C. Sharma with:
C. Sharma India
Linlin Wang China
Yin Ren China
Mário Cerqueira Portugal
Xiang Sun China
Bengang Li China
Prasanna Egodawatta Australia
Susanne M. Charlesworth United Kingdom
Balram Ambade India
Long Li relative to C. Sharma India C. Sharma's profile →
Citations per field
00.5×3.1×
C. Sharma · 1×
Citations per year

Countries citing papers authored by Long Li

Since Specialization
Citations

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

Fields of papers citing papers by Long Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997247
2 1999182
3 202395
4 202087
5 202182
6 202281
7 201580
8 202073
9 202073
10 201771
11 202164
12 202255
13 202255
14 202346
15 202345
16 202345
17 202245
18 202041
19 201939
20 201939

About Long Li

Long Li is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis, Global and Planetary Change, Atmospheric Science and Water Science and Technology, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Urban Heat Island Mitigation (44 papers), Urban Green Space and Health (30 papers), Land Use and Ecosystem Services (14 papers), Remote Sensing and Land Use (12 papers), Noise Effects and Management (8 papers), Cryospheric studies and observations (6 papers), Air Quality and Health Impacts (6 papers) and Building Energy and Comfort Optimization (6 papers). The work is most often cited by research in Environmental Engineering (1.2k citations), Atmospheric Science (954 citations), Health, Toxicology and Mutagenesis (688 citations), Global and Planetary Change (892 citations) and Speech and Hearing (129 citations). Long Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include John W. Pomeroy, Yong Zha, Wenfeng Zhan, Zihan Liu, Fan Huang, Richard Essery, Jiufeng Li, Jiameng Lai, Jiahua Zhang and Huilin Du. Their work appears in journals such as Building and Environment, Geophysical Research Letters, The Science of The Total Environment, ISPRS Journal of Photogrammetry and Remote Sensing and Sustainable Cities and Society.

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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