Xiaoting Li

39 papers receiving 768 citations

Peers

Xiaoting Li
Comparison fields: 5 of 101
  • Environmental Engineering 135
  • Renewable Energy, Sustainability and the Environment 138
  • Health, Toxicology and Mutagenesis 113
  • Global and Planetary Change 172
  • Ecological Modeling 23
Replace Huanhuan Liu with:
Huanhuan Liu China
S. Kalaivani India
Wenmei Ma China
Jialin Wang China
Liyang Liu China
Di Ma China
Jiaxin Li China
Kendra L. Garner United States
Pengfei Ma China
Xiaoting Li relative to Huanhuan Liu China Huanhuan Liu's profile →
Citations per field
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Huanhuan Liu · 1×
Citations per year

Countries citing papers authored by Xiaoting Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 201474
3 202158
4 202158
5 201546
6 201642
7 202139
8 201436
9 202030
10 202024
11 202421
12 202321
13 202021
14 202121
15 202020
16 201920
17 202019
18 202218
19 202217
20 202215

About Xiaoting Li

Xiaoting Li is a scholar working on Electrical and Electronic Engineering, Global and Planetary Change, Polymers and Plastics, Biomedical Engineering and Ecology, having authored 42 papers that have together received 781 indexed citations. Recurring topics across this work include Conducting polymers and applications (7 papers), Land Use and Ecosystem Services (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Urban Heat Island Mitigation (5 papers), Urban Green Space and Health (4 papers), Remote Sensing in Agriculture (4 papers), Electrocatalysts for Energy Conversion (4 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Environmental Engineering (135 citations), Renewable Energy, Sustainability and the Environment (138 citations), Health, Toxicology and Mutagenesis (113 citations), Global and Planetary Change (172 citations) and Ecological Modeling (23 citations). Xiaoting Li has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Wenming Zhang, Ling Li, Youwei Zhao, Lide Fang, Pingping Jiang, Baoquan Jia, Wei Guo, Chaochao Fu, Jian Zhang and Yirui Shen. Their work appears in journals such as Ecological Indicators, Lab on a Chip, Journal of Materials Chemistry A, Colloids and Surfaces A Physicochemical and Engineering Aspects and Applied Surface Science.

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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