Ting Li

186 papers receiving 3.7k citations

Hit Papers

A new insight into land use classification based on aggregated mobile phone data 2014 · 319 citations
3190+4+8Years since publication100200300

Peers

Ting Li
Comparison fields: 5 of 181
  • Transportation 340
  • Pollution 576
  • Biomaterials 477
  • Water Science and Technology 449
  • Soil Science 309
Replace Jianwei Huang with:
Jianwei Huang Hong Kong
Xiaoping Li China
Beibei Zhang China
T. V. Ramachandra India
Yuan Yuan China
Yi Yang China
Feiyue Li China
Tong Li China
Yanxia Zhang China
Xue Liu China
Ting Li relative to Jianwei Huang Hong Kong Jianwei Huang's profile →
Citations per field
00.5×2.6×
Jianwei Huang · 1×
Citations per year

Countries citing papers authored by Ting Li

Since Specialization
Citations

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

Fields of papers citing papers by Ting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new insight into land use classification based on aggregated mobile phone data
Hit paper breakdown →
2014319
2 2016159
3 2013159
4 2015134
5 2020114
6 201095
7 201485
8 200981
9 202376
10 202172
11 201965
12 202064
13 201763
14 201961
15 202357
16 201357
17 201956
18 202155
19 201853
20 202051

About Ting Li

Ting Li is a scholar working on Plant Science, Ecology, Biomaterials, Soil Science and Pollution, having authored 200 papers that have together received 3.7k indexed citations. Recurring topics across this work include Heavy metals in environment (17 papers), Soil Carbon and Nitrogen Dynamics (17 papers), Clay minerals and soil interactions (11 papers), Adsorption and biosorption for pollutant removal (9 papers), Nanocomposite Films for Food Packaging (8 papers), Soil and Unsaturated Flow (7 papers), Land Use and Ecosystem Services (7 papers) and Extraction and Separation Processes (7 papers). The work is most often cited by research in Transportation (340 citations), Pollution (576 citations), Biomaterials (477 citations), Water Science and Technology (449 citations) and Soil Science (309 citations). Ting Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaoxun Xu, Shirong Zhang, Guiyin Wang, Yongxia Jia, Guoshu Gong, Tao Pei, Carlo Ratti, Shih‐Lung Shaw, Stanislav Sobolevsky and Chenghu Zhou. Their work appears in journals such as Chemosphere, CATENA, Land Degradation and Development, Journal of Cleaner Production and The Science of The Total Environment.

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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