Lili Yu

611 citations
28 papers · 306 · h-index 10

Impact in

Papers in

Lili Yu

25 papers receiving 293 citations

Peers

Lili Yu
Comparison fields: 5 of 82
  • Health, Toxicology and Mutagenesis 77
  • Building and Construction 74
  • Pollution 52
  • Civil and Structural Engineering 92
  • Geochemistry and Petrology 12
Replace Kevin Lawrence M. de Jesus with:
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Yulu Chen China
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Lili Yu relative to Kevin Lawrence M. de Jesus Philippines Kevin Lawrence M. de Jesus's profile →
Citations per field
00.5×1.5×1.9×
Kevin Lawrence M. de Jesus · 1×
Citations per year

Countries citing papers authored by Lili Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lili Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 202246
3 202038
4 201038
5 202235
6 202115
7 202313
8 20219
9 20249
10 20229
11 20136
12 20225
13 20135
14 20224
15 20124
16 20243
17 20213
18
Polycyclic aromatic hydrocarbons in surface soils of the Pearl River Delta,south China
20072
19 20222
20 20162

About Lili Yu

Lili Yu is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Electrical and Electronic Engineering, Civil and Structural Engineering and Control and Systems Engineering, having authored 28 papers that have together received 306 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (5 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Heavy metals in environment (3 papers), Remote-Sensing Image Classification (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Remote Sensing and Land Use (2 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (77 citations), Building and Construction (74 citations), Pollution (52 citations), Civil and Structural Engineering (92 citations) and Geochemistry and Petrology (12 citations). Lili Yu has collaborated with scholars based in China, United States and Lithuania. Frequent co-authors include Ling Yu, Xianming Shi, Zhipeng Li, Jing Gong, Junjie Hu, Xiaomei Lv, Gan Zhang, Guoqing Liu, Xiang Liu and Jun Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, The Science of The Total Environment, Neurocomputing, Environmental Monitoring and Assessment and STRUCTURAL ENGINEERING AND MECHANICS.

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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